Papers



BOOKS (MONOGRAPHS)


  1. M. Montemerlo and S. Thrun. The FastSLAM Algortihm for Simultaneous Localization and Mapping. Springer Tracts in Advanced Robotics, forthcoming.
  2. S. Thrun, W. Burgard, and D. Fox. Probabilistic Robotics. MIT Press, Cambridge, MA, 2005.
  3. H. Choset, K. Lynch, S. Hutchinson, G. Kantor, W. Burgard, L. Kavraki, and S. Thrun. Principles of Robotic Motion: Theory, Algorithms, and Implementation. MIT Press, Cambridge, MA, 2004.
  4. S. Thrun. Explanation-Based Neural Network Learning: A Lifelong Learning Approach. Kluwer Academic Publishers, Boston, MA, 1996.

BOOKS (EDITED VOLUMES)


  1. S. Yuta, H. Asama, S. Thrun, E. Prassler, and T. Tsubouchi, editors. Field and Service Robotics: Recent Advances in Research and Applications. Springer Tracts in Advanced Robotics, Berlin, 2006.

  2. S. Thrun, L. Saul, and K. Obermayer, editors. Advances in Neural Information Processing Systems 16. MIT Press, Cambridge, MA, 2004.

  3. S. Becker, S. Thrun, and K. Obermayer, editors. Advances in Neural Information Processing Systems 15. MIT Press, Cambridge, MA, 2003.

  4. S. Thrun and L.Y. Pratt, editors. Learning To Learn. Kluwer Academic Publishers, Boston, MA, 1998.

  5. J. Franklin, T. Mitchell, and S. Thrun, editors. Recent Advances in Robot Learning. Kluwer Academic Publishers, Boston, MA, 1996.


CHAPTERS IN BOOK


  1. S. Thrun. Simultaneous localization and mapping. In M.E. Jefferies and W.-K. Yeap, editors, Spatial Mapping Approaches in Robotic and Natural Mapping Systems. Springer Tracts in Advanced Robotics, Berlin, 2006.

  2. A. Lookingbill, D. Lieb, and S. Thrun. Optical flow approaches for self-supervised learning in autonomous mobile robot navigation. In C. Laugier and R. Chatila, editors, Navigation in Open and Dynamic Environments. Springer, Berlin, Germany, 2006.

  3. D. Margaritis, S. Thrun, and C. Faloutsos. Netcube: Fast approximate database queries using bayesian networks. In A. Mittal, A. Kassim, and T. Tan, editors, Bayesian Network Technologies: Applications and Graphical Models. IIT India, 2006.

  4. S. Thrun. Robotics. In Chapter 25 of ``Artificial Intelligence: A Modern Approach (second edition)'' by S. Russell and P. Norvig. Prentice Hall, Englewood Cliffs, NJ, 2002.

  5. S. Thrun. Robotic mapping: A survey. In G. Lakemeyer and B. Nebel, editors, Exploring Artificial Intelligence in the New Millenium. Morgan Kaufmann, 2002.

  6. D. Fox, S. Thrun, W. Burgard, and F. Dellaert. Particle filters for mobile robot localization. In A. Doucet, N. de Freitas, and N. Gordon, editors, Sequential Monte Carlo Methods in Practice, pages 499-516. Springer Verlag, 2001.

  7. D. Fox, W. Burgard, and S. Thrun. Markov localization for reliable robot navigation and people detection. In Modeling and Planning for Sensor-Based Intelligent Robot Systems. Springer Verlag, Berlin, 1999.

  8. S. Thrun, A. Bücken, W. Burgard, D. Fox, T. Fröhlinghaus, D. Henning, T. Hofmann, M. Krell, and T. Schmidt. Map learning and high-speed navigation in RHINO. In D. Kortenkamp, R.P. Bonasso, and R Murphy, editors, AI-based Mobile Robots: Case Studies of Successful Robot Systems, pages 21-52. MIT Press, Cambridge, MA, 1998.

  9. S. Thrun and J. O'Sullivan. Clustering learning tasks and the selective cross-task transfer of knowledge. In S. Thrun and L.Y. Pratt, editors, Learning To Learn. Kluwer Academic Publishers, 1998.

  10. S. Thrun. Lifelong learning algorithms. In S. Thrun and L.Y. Pratt, editors, Learning To Learn. Kluwer Academic Publishers, 1998.

  11. S. Thrun and L.Y. Pratt. Learning to learn: Introduction and overview. In S. Thrun and L.Y. Pratt, editors, Learning To Learn. Kluwer Academic Publishers, 1998.

  12. J. O'Sullivan, T. Mitchell, and S. Thrun. Explanation-based neural network learning for mobile robot perception. In K. Ikeuchi and M. Veloso, editors, Symbolic Visual Learning. Oxford University Press, 1997.

  13. T. Mitchell and S. Thrun. Learning analytically and inductively. In D. Steier and T. Mitchell, editors, Mind Matters: A Tribute to Allen Newell. Lawrence Erlbaum Associates Publishers, 1996.

  14. S. Thrun. Exploration in active learning. In M. Arbib, editor, Handbook of Brain and Cognitive Science. MIT Press, 1995.

  15. S. Thrun. A lifelong learning perspective for mobile robot control. In V. Graefe, editor, Intelligent Robots and Systems. Elsevier, 1995.

  16. S. Thrun. The role of exploration in learning control. In D.A. White and D.A. Sofge, editors, Handbook for Intelligent Control: Neural, Fuzzy and Adaptive Approaches. Van Nostrand Reinhold, Florence, Kentucky 41022, 1992.


REFEREED JOURNAL ARTICLES


  1. M. Montemerlo, J. Becker, S. Bhat, H. Dahlkamp, D. Dolgov, S. Ettinger, D. Haehnel, T. Hilden, G. Hoffmann, B. Huhnke, D. Johnston, S. Klumpp, D. Langer, A. Levandowski, J. Levinson, J. Marcil, D. Orenstein, J. Paefgen, I. Penny, A. Petrovskaya, M. Pflueger, G. Stanek, D. Stavens, A. Vogt, and S. Thrun. Junior: The Stanford Entry in the Urban Challenge Journal of Field Robotics, forthcoming.

  2. S. Thrun, M. Montemerlo, H. Dahlkamp, D. Stavens, A. Aron, J. Diebel, P. Fong, J. Gale, M. Halpenny, G. Hoffmann, K. Lau, C. Oakley, M. Palatucci, V. Pratt, P. Stang, S. Strohband, C. Dupont, L.-E. Jendrossek, C. Koelen, C. Markey, C. Rummel, J. van Niekerk, E. Jensen, P. Alessandrini, G. Bradski, B. Davies, S. Ettinger, A. Kaehler, A. Nefian, and P. Mahoney. Stanley, the robot that won the DARPA Grand Challenge. Journal of Field Robotics, forthcoming.

  3. J. Pineau, G. Gordon, and S. Thrun. Anytime point-based approximations for large POMDPs. Journal of Artificial Intelligence Research, forthcoming.

  4. D. Lookingbill, J. Rogers, J. Curry, D. Lieb, and S. Thrun. Reverse optical flow for self-supervised adaptive autonomous robot navigation. International Journal on Computer Vision (IJCV), forthcoming.

  5. J. Pineau, G. Gordon, and S. Thrun. Anytime point-based approximations for large POMDPs. Journal of Artificial Intelligence Research, 2006. forthcoming.

  6. J. Diebel, S. Thrun, and M. Brüning. A bayesian method for probable surface reconstruction and decimation. ACM Transactions on Graphics, 25(1), 2006.

  7. B.P. Gerkey, S.Thrun, and G. Gordon. Visibility-based pursuit-evasion with limited field of view. International Journal on Robotics Research, 25(4):299-316, 2006.

  8. S. Thrun and M. Montemerlo. The GraphSLAM algorithm with applications to large-scale mapping of urban structures. International Journal on Robotics Research, 25(5/6):403-430, 2005.

  9. S. Thrun, S. Thayer, W. Whittaker, C. Baker, W. Burgard, D. Ferguson, D. Hähnel, M. Montemerlo, A. Morris, Z. Omohundro, C. Reverte, and W. Whittaker. Autonomous exploration and mapping of abandoned mines. IEEE Robotics and Automation, 11(4), 2005.

  10. N. Roy, G. Gordon, and S. Thrun. Finding approximate POMDP solutions through belief compression. Journal of Artificial Intelligence Research, 23:1-40, 2005.

  11. M. Bennewitz, W. Burgard, G. Cielniak, and S. Thrun. Learning motion patterns of people for compliant motion. International Journal of Robotics Research, 24(1), 2005.

  12. S. Thrun, C. Martin, Y. Liu, D. Hähnel, R. Emery-Montemerlo, D. Chakrabarti, and W. Burgard. A real-time expectation maximization algorithm for acquiring multi-planar maps of indoor environments with mobile robots. IEEE Transactions on Robotics, 20(3):433-443, 2004.

  13. S. Thrun, Y. Liu, D. Koller, A.Y. Ng, Z. Ghahramani, and H. Durrant-Whyte. Simultaneous localization and mapping with sparse extended information filters. International Journal of Robotics Research, 23(7-8), 2004.

  14. S. Thrun. Towards a framework for human-robot interaction. Human Computer Interaction, 19(1&2):9-24, 2004.

  15. J. Pineau, M. Montemerlo, N. Roy, S. Thrun, and M. Pollack. Towards robotic assistants in nursing homes: challenges and results. Robotics and Autonomous Systems, 42(3-4):271-281, 2003.

  16. S. Thrun. Learning occupancy grids with forward sensor models. Autonomous Robots, 15:111-127, 2003.

  17. D. Hähnel, W. Burgard, and S. Thrun. Learning compact 3D models of indoor and outdoor environments with a mobile robot. Robotics and Autonomous Systems, 44:15-17, 2003.

  18. M. Bennewitz, W. Burgard, and S. Thrun. Finding and optimizing solvable priority schemes for decoupled path planning techniques for teams of mobile robots. Robotics and Autonomous Systems, 41(2):89-99, 2002.

  19. F. Dellaert, S.M. Seitz, C. Thorpe, and S. Thrun. EM, MCMC, and chain flipping for structure from motion with unknown correspondence. Machine Learning, 50(1-2):45-71, 2003.

  20. S. Thrun. A probabilistic online mapping algorithm for teams of mobile robots. International Journal of Robotics Research, 20(5):335-363, 2001.

  21. S. Thrun, D. Fox, W. Burgard, and F. Dellaert. Robust Monte Carlo localization for mobile robots. Artificial Intelligence, 128(1-2):99-141, 2000.

  22. S. Thrun, M. Beetz, M. Bennewitz, W. Burgard, A.B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, and D. Schulz. Probabilistic algorithms and the interactive museum tour-guide robot Minerva. International Journal of Robotics Research, 19(11):972-999, 2000.

  23. S. Waldherr, S. Thrun, and R. Romero. A gesture-based interface for human-robot interaction. Autonomous Robots, 9(2):151-173, 2000.

  24. D. Fox, W. Burgard, H. Kruppa, and S. Thrun. A probabilistic approach to collaborative multi-robot localization. Autonomous Robots, 8(3), 2000.

  25. D. Fox, W. Burgard, and S. Thrun. Markov localization for mobile robots in dynamic environments. Journal of Artificial Intelligence Research, 11:391-427, 1999.

  26. W. Burgard, A.B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, and S. Thrun. Experiences with an interactive museum tour-guide robot. Artificial Intelligence, 114(1-2):3-55, 1999.

  27. K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. Learning to classify text from labeled and unlabeled documents. Machine Learning, 39(2/3):1-32, 1998.

  28. S. Thrun, D. Fox, and W. Burgard. A probabilistic approach to concurrent mapping and localization for mobile robots. Machine Learning, 31:29-53, 1998. Also appeared in Autonomous Robots 5, 253-271 (joint issue).

  29. S. Thrun. Learning metric-topological maps for indoor mobile robot navigation. Artificial Intelligence, 99(1):21-71, 1998.

  30. S. Thrun. Bayesian landmark learning for mobile robot localization. Machine Learning, 33(1):41-76, 1998.

  31. D. Fox, W. Burgard, and S. Thrun. Active Markov localization for mobile robots. Robotics and Autonomous Systems, 25(3-4):195-207, 1998.

  32. D. Fox, W. Burgard, and S. Thrun. The dynamic window approach to collision avoidance. IEEE Robotics and Automation, 4(1), 1997.

  33. S. Thrun. An approach to learning mobile robot navigation. Robotics and Autonomous Systems, 15:301-319, 1996.

  34. S. Thrun and T. Mitchell. Lifelong robot learning. Robotics and Autonomous Systems, 15:25-46, 1995.

  35. K. Möller and S. Thrun. ARC: Adaptive Roboterkontrolle mit Künstlichen Neuronalen Netzen. Wirtschaftsinformatik, 33(5):408-419, 1991. In German.


MAGAZINE AND UNREFEREED JOURNAL ARTICLES


  1. V. Verma, R. Simmons, G. Gordon, and S. Thrun. Real-time fault diagnosis. IEEE Robotics and Automation Magazine, 11(2):56-66, 2004.

  2. S. Thrun. Probabilistic robotics. Communications of the ACM, 45(3):52-57, 2002.

  3. S. Thrun. Probabilistic algorithms in robotics. AI Magazine, 21(4):93-109, 2000.

  4. S. Thrun, J. Schulte, and C. Rosenberg. Interaction with mobile robots in public places. IEEE Intelligent Systems, pages 7-11, July/August 2000.

  5. S. Thrun and M. Littman. Book review: Reinforcement Learning by R. Sutton and A. Barto. AI Magazine, 21(1):103-105, 2000.

  6. D. Schulz, W. Burgard, A.B. Cremers, D. Fox, and S. Thrun. Web interfaces for mobile robots in public places. IEEE Magazine on Robotics and Automation, 7(1):48-57, 2000.

  7. S. Thrun, C. Faloutsos, T. Mitchell, and L. Wasserman. Automated learning and discovery: State-of-the-art and research topics in a rapidly growing field. AI Magazine, 20(3), 1999.

  8. S. Thrun. When robots meet people: Research directions in mobile robotics. IEEE Intelligent Systems, May/June 1998.

  9. S. Thrun. To know or not to know: On the utility of models in mobile robotics. AI Magazine, 18(1):47-54, 1997.

  10. A.B. Cremers, J. Buhmann, and S. Thrun. Komplexe lernende Systeme: Der mobile Roboter RHINO. Künstliche Intelligenz, 2, 1995. In German.

  11. J. Buhmann, W. Burgard, A.B. Cremers, D. Fox, T. Hofmann, F. Schneider, J. Strikos, and S. Thrun. The mobile robot Rhino. AI Magazine, 16(1), 1995.

  12. R. Simmons, S. Thrun, C. Athanassiou, J. Cheng, L. Chrisman, R. Goodwin, G.-T. Hsu, and H. Wan. Odysseus: An autonomous mobile robot (extended abstract). AI Magazine, 13, 1992.


REFEREED CONFERENCE PAPERS


  1. D. Stavens, G. Hoffmann, and S. Thrun. Online speed adaptation using supervised learning for high-speed, off-road autonomous driving. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, 2007.

  2. D. Stavens and S. Thrun. A self-supervised terrain roughness estimator for off-road autonomous driving. In Proceedings of the Conference on Uncertainty in AI (UAI), 2006.

  3. M. Montemerlo, S. Thrun, H. Dahlkamp, D. Stavens, and S. Strohband. Winning the DARPA Grand Challenge with an AI robot. In Proceedings of the AAAI National Conference on Artificial Intelligence, Boston, MA, 2006. AAAI.

  4. H. Dahlkamp, A. Kaehler, D. Stavens, S. Thrun, and G. Bradski. Self-supervised monocular road detection in desert terrain. In G. Sukhatme, S. Schaal, W. Burgard, and D. Fox, editors, Proceedings of the Robotics Science and Systems Conference, Philadelphia, PA, 2006.

  5. B. Schumitsch, S. Thrun, and L. Guibas. The information management kalman filter (IMKF). In G. Sukhatme, S. Schaal, W. Burgard, and D. Fox, editors, Proceedings of the Robotics Science and Systems Conference, Philadelphia, PA, 2006.

  6. S. Thrun, M. Montemerlo, and A. Aron. Probabilistic terrain analysis for high-speed desert driving. In G. Sukhatme, S. Schaal, W. Burgard, and D. Fox, editors, Proceedings of the Robotics Science and Systems Conference, Philadelphia, PA, 2006.

  7. A. Petrovskaya, O. Khatib, S. Thrun, and A.Y. Ng. Bayesian estimatino for autonomous object manipulation based on tactile sensors. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Orlando, Florida, 2006.

  8. S. Thrun. Affine structure from sound. In Proceedings of Conference on Neural Information Processing Systems (NIPS), Cambridge, MA, 2005. MIT Press.

  9. B. Schumitsch, S. Thrun, G. Bradski, and K. Olukotun. The information-form data association filter. In Proceedings of Conference on Neural Information Processing Systems (NIPS), Cambridge, MA, 2005. MIT Press.

  10. J. Diebel and S. Thrun. An application of markov random fields to range sensing. In Proceedings of Conference on Neural Information Processing Systems (NIPS), Cambridge, MA, 2005. MIT Press.

  11. S. Thrun and B. Wegbreit. Shape from symmetry. In Proceedings of the International Conference on Computer Vision (ICCV), Bejing, China, 2005. IEEE.

  12. D. Anguelov, P. Srinivasan, D. Koller, S. Thrun, J. Rodgers, and J. Davis. SCAPE: Shape completion and animation of people. 2005.

  13. R. Kaestner, S. Thrun, M. Montemerlo, and M. Whalley. A non-rigid approach to scan alignment and change detection using range sensor data. Port Douglas, Australia, 2005. Springer Verlag.

  14. M. Matsuoka, A. Chen, S. Singh, A.Y. Ng, and S. Thrun. Autonomous helicopter tracking and localization using a self-calibrating camera array. In Proceedings of the Symposium on Field and Service Robotics, Port Douglas, Australia, 2005. Springer Verlag.

  15. R. Biswas and S. Thrun. A distributed approach to passive localization. In Proceedings of the AAAI National Conference on Artificial Intelligence, Pittsburgh, PA, 2005. AAAI.

  16. M. Paskin and S. Thrun. Robotic mapping with polygonal markov random fields. In Proceedings of the Conference on Uncertainty in AI (UAI), Edinburgh, Scotland, 2005.

  17. D. Lieb, A. Lookingbill, and S. Thrun. Adaptive road following using self-supervised learning and reverse optical flow. In S. Thrun, G. Sukhatme, S. Schaal, and O. Brock, editors, Proceedings of Robotics Science and Systems, Cambridge, MA, 2005. MIT Press.

  18. P. Abbeel, A. Coates, M. Montemerlo, A. Ng, and S. Thrun. Discriminative training of Kalman filters. In S. Thrun, G. Sukhatme, S. Schaal, and O. Brock, editors, Proceedings of Robotics Science and Systems, Cambridge, MA, 2005. MIT Press.

  19. J. Shin, N. Lee, S. Thrun, and L. Guibas. Lazy inference ob object identities in wireless sensor networks. In Fourth International Conference on Information Processing in Sensor Networks, Los Angeles, CA, 2005.

  20. D. Ferguson, M. Likhachev, G. Gordon, A. Stentz, and S. Thrun. Anytime dynamic A*: An anytime, replanning algorithm. In S. Biundo, K. Myers, and K. Rajan, editors, Proceedings of the International Conference on Automated Planning and Scheduling, 2005.

  21. R. Emery-Montemerlo, G. Gordon, J. Schneider, and S. Thrun. Game theoretic control for robot teams. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Barcelona, Spain, 2005.

  22. A. Lookingbill, D. Lieb, D. Stavens, and S. Thrun. Learning activity-based ground models from a moving helicopter platform. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Barcelona, Spain, 2005.

  23. K. Patel, W. Macklem, and S. Thrun. Active sensor actuation at high speeds. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Barcelona, Spain, 2005.

  24. S. Park, F. Pfenning, and S. Thrun. A probabilistic progamming language based upon sampling functions. In Proceedings of the ACM Symposium on Principles of Programming Languages (POPL), Long Beach, CA, 2005. ACM SIGPLAN - SIGACT.

  25. M. Likhachev, G. Gordon, and S. Thrun. Planning for Markov decision processes with sparse stochasticity. In L. Saul, Y. Weiss, and L. Bottou, editors, Proceedings of Conference on Neural Information Processing Systems (NIPS), Cambridge, MA, 2004. MIT Press.

  26. D. Anguelov, P. Srinivasan, H.-C. Pang, D. Koller, S. Thrun, and J. Davis. The correlated correspondence algorithm for unsupervised registration of nonrigid surfaces. In L. Saul, Y. Weiss, and L. Bottou, editors, Proceedings of Conference on Neural Information Processing Systems (NIPS), Cambridge, MA, 2004. MIT Press.

  27. J.T. Matthews, S.J. Engberg, J. Glover, M. Pollack, and S. Thrun. Robotic assistants for the elderly: Designing and conducting field studies. In Proceedings of the Tenth IASTED International Conference on Robotics and Applications, Hawaii, HI, 2004.

  28. R. Biswas and S. Thrun. A passive approach to sensor network localization. In Proceedings of the Conference on Intelligent Robots and Systems (IROS), 2004.

  29. J. Diebel, K. Reuterswärd, J. Davis, and S. Thrun. Simultaneous localization and mapping with active stereo vision. In Proceedings of the Conference on Intelligent Robots and Systems (IROS), 2004.

  30. D. Anguelov, D. Koller, H. Pang, P. Srinivasan, and S. Thrun. Recovering articulated object models from 3d range data. In Proceedings of the Annual Conference on Uncertainty in AI (UAI), 2004.

  31. M. Rosencrantz, G. Gordon, and S. Thrun. Learning low dimensional predictive representations. In Proceedings of the Twenty-First International Conference on Machine Learning, Banff, Alberta, Canada, 2004.

  32. R. Dearden, F. Huttner, R. Simmons, V. Verma, S. Thrun, and T. Willeke. Real-time fault detection and situational awareness for rovers: Report on the mars technology program task. In Proceedings of IEEE Aerospace Conference, Big Sky, MY, March 2004.

  33. R. Emery-Montemerlo, G. Gordon, J. Schneider, and S. Thrun. Approximate solutions for partially observable stochastic games with common payoffs. In Proceedings of Autonomous Agents and Multi-Agent Systems, New York, NY, 2004.

  34. M. Montemerlo and S. Thrun. A multi-resolution pyramid for outdoor robot terrain perception. In Proceedings of the AAAI National Conference on Artificial Intelligence, San Jose, CA, 2004. AAAI.

  35. B. Gerkey, S. Thrun, and G. Gordon. Clear the building: Pursuit-evasion with teams of robots. In Proceedings of the AAAI National Conference on Artificial Intelligence, San Jose, CA, 2004. AAAI.

  36. R. Biswas, L. Guibas, and S. Thrun. A probabilistic approach to inference with limited information in sensor networks. In Proceedings of the 3rd International Symposium on Information Processing in Sensor Networks, 2004.

  37. C. Baker, A. Morris, D. Ferguson, S. Thayer, C. Whittaker, Z. Omohundro, C. Reverte, W. Whittaker, D. Hähnel, and S. Thrun. A campaign in autonomous mine mapping. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2004.

  38. J. Glover, S. Thrun, and J.T. Matthews. Learning user models of mobility-related activities through instrumented walking aids. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2004.

  39. A. Nüchter, H. Surmann, K. Lingemann, J. Hertzberg, and S. Thrun. 6D SLAM with application in autonomous mine mapping. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2004.

  40. D. Anguelov, D. Koller, E. Parker, and S. Thrun. Detecting and modeling doors with mobile robots. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2004.

  41. D. Ferguson, T. Stentz, and S. Thrun. PAO* for planning with hidden state. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2004.

  42. D. Ferguson, A. Morris, D. Hähnel, C. Baker, Z. Omohundro, C. Reverte, S. Thayer, W. Whittaker, W. Whittaker, W. Burgard, and S. Thrun. An autonomous robotic system for mapping abandoned mines. In S. Thrun, L. Saul, and B. Schölkopf, editors, Proceedings of Conference on Neural Information Processing Systems (NIPS), Cambridge, MA, 2003. MIT Press.

  43. C. Bererton, G. Gordon, and S. Thrun. Auction mechanism design for multi-robot coordination. In S. Thrun, L. Saul, and B. Schölkopf, editors, Proceedings of Conference on Neural Information Processing Systems (NIPS), Cambridge, MA, 2003. MIT Press.

  44. M. Likhachev, G. Gordon, and S. Thrun. ARA*: Anytime A* search with provable bounds on sub-optimality. In S. Thrun, L. Saul, and B. Schölkopf, editors, Proceedings of Conference on Neural Information Processing Systems (NIPS), Cambridge, MA, 2003. MIT Press.

  45. J. Pineau, G. Gordon, and S. Thrun. Applying metric trees to belief-point POMDPs. In S. Thrun, L. Saul, and B. Schölkopf, editors, Proceedings of Conference on Neural Information Processing Systems (NIPS), Cambridge, MA, 2003. MIT Press.

  46. D. Hähnel, D. Fox, W. Burgard, and S. Thrun. A highly efficient FastSLAM algorithm for generating cyclic maps of large-scale environments from raw laser range measurements. In Proceedings of the Conference on Intelligent Robots and Systems (IROS), 2003.

  47. M. Montemerlo, N. Roy, and S. Thrun. Perspectives on standardization in mobile robot programming: The Carnegie Mellon navigation (CARMEN) toolkit. In Proceedings of the Conference on Intelligent Robots and Systems (IROS), 2003. Software package for download at www.cs.cmu.edu/~carmen.

  48. D. Hähnel, W. Burgard, B. Wegbreit, and S. Thrun. Towards lazy data association in SLAM. In Proceedings of the 11th International Symposium of Robotics Research (ISRR'03), Sienna, Italy, 2003. Springer.

  49. S. Thrun and Y. Liu. Multi-robot SLAM with sparse extended information filers. In Proceedings of the 11th International Symposium of Robotics Research (ISRR'03), Sienna, Italy, 2003. Springer.

  50. M. Rosencrantz, G. Gordon, and S. Thrun. Decentralized sensor fusion with distributed particle filters. In Proceedings of the Conference on Uncertainty in AI (UAI), Acapulco, Mexico, 2003.

  51. J. Pineau, G. Gordon, and S. Thrun. Policy-contingent abstraction for robust robot control. In Proceedings of the Conference on Uncertainty in AI (UAI), Acapulco, Mexico, 2003.

  52. D. Hähnel, S. Thrun, and W. Burgard. An extension of the ICP algorithm for modeling nonrigid objects with mobile robots. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, 2003. IJCAI.

  53. J. Pineau, G. Gordon, and S. Thrun. Point-based value iteration: An anytime algorithm for POMDPs. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, 2003. IJCAI.

  54. V. Verma, R. Simmons, and S. Thrun. Variable resolution particle filter. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, 2003. IJCAI.

  55. M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit. FastSLAM 2.0: An improved particle filtering algorithm for simultaneous localization and mapping that provably converges. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, 2003. IJCAI.

  56. M. Berna, B. Lisien, B. Sellner, G. Gordon, F. Pfenning, and S. Thrun. A learning algorithm for localizing people based on wireless signal strength that uses labeled and unlabeled data. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, 2003. IJCAI.

  57. S. Thrun, M. Diel, and D. Hähnel. Scan alignment and 3d surface modeling with a helicopter platform. In Proceedings of the International Conference on Field and Service Robotics, Lake Yamanaka, Japan, 2003.

  58. C. Baker, Z. Omohundro, S. Thayer, W. Whittaker, M. Montemerlo, and S. Thrun. A case study in robotic mapping of abandoned mines. In Proceedings of the International Conference on Field and Service Robotics, Lake Yamanaka, Japan, 2003.

  59. N. Roy, G. Gordon, and S. Thrun. Planning under uncertainty for reliable health care robotics. In Proceedings of the International Conference on Field and Service Robotics, Lake Yamanaka, Japan, 2003.

  60. E. Nettleton, S. Thrun, and H. Durrant-Whyte. Decentralised slam with low-bandwidth communication for teams of airborne vehicles. In Proceedings of the International Conference on Field and Service Robotics, Lake Yamanaka, Japan, 2003.

  61. C.-C. Wang, C. Thorpe, and S. Thrun. Online simultaneous localization and mapping with detection and tracking of moving objects: Theory and results from a ground vehicle in crowded urban areas. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2003.

  62. J. Nieto, J. Guivant, E. Nebot, and S. Thrun. Real time data association for FastSLAM. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2003.

  63. A. Morris, R. Donamukkala, A. Kapuria, A. Steinfeld, J. Matthews, J. Dunbar-Jacobs, and S. Thrun. A robotic walker that provides guidance. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2003.

  64. Y. Liu and S. Thrun. Results for outdoor-SLAM using sparse extended information filters. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2003.

  65. M. Montemerlo and S. Thrun. Simultaneous localization and mapping with unknown data association using FastSLAM. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2003.

  66. S. Thrun, D. Hähnel, D. Ferguson, M. Montemerlo, R. Triebel, W. Burgard, C. Baker, Z. Omohundro, S. Thayer, and W. Whittaker. A system for volumetric robotic mapping of abandoned mines. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2003.

  67. M. Bennewitz, W. Burgard, and S. Thrun. Adapting navigation strategies using motion patterns of people. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2003.

  68. D. Hähnel, R. Triebel, W. Burgard, and S. Thrun. Map building with mobile robots in dynamic environments. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2003.

  69. M. Rosencrantz, G. Gordon, and S. Thrun. Locating moving entities in dynamic indoor environments with teams of mobile robots. In Proceedings of Autonomous Agents and Multi-Agent Systems, Melbourne, Australia, 2003.

  70. J. Matthews, S. Engberg, M. Montemerlo, J. Pineau, N. Roy, J. Rogers, S. Thrun, S. Handler, T. Starrett, D. Ting, and R. Travis. The nursebot project: Results of preliminary field studies during development of a personal robotic assistant for older adults. In Proceedings of the Greater Pittsburgh 14th Annual Nursing Research Conference, Pittsburgh, PA, 2002.

  71. J. Matthews, S. Engberg, M. Montemerlo, J. Pineau, N. Roy, J. Rogers, and S. Thrun. Robotic assistance during ambulation by older adults. In Proceedings of the Annual Conference of the American Medical Informatics Association, San Antonio, TX, 2002.

  72. N. Roy and S. Thrun. Motion planning through policy search. In Proceedings of the Conference on Intelligent Robots and Systems (IROS), Lausanne, Switzerland, 2002.

  73. R. Biswas, B. Limketkai, S. Sanner, and S. Thrun. Towards object mapping in dynamic environments with mobile robots. In Proceedings of the Conference on Intelligent Robots and Systems (IROS), Lausanne, Switzerland, 2002.

  74. D. Avots, E. Lim, R. Thibaux, and S. Thrun. A probabilistic technique for simultaneous localization and door state estimation with mobile robots in dynamic environments. In Proceedings of the Conference on Intelligent Robots and Systems (IROS), Lausanne, Switzerland, 2002.

  75. M. Bennewitz, W. Burgard, and S. Thrun. Using EM to learn motion behaviors of persons with mobile robots. In Proceedings of the Conference on Intelligent Robots and Systems (IROS), Lausanne, Switzerland, 2002.

  76. J. Matthews, S. Thrun, and J. Dunbar-Jacobs. Robotic assistive technology for community-residing older adults and persons with disabilities: An inter-institutional initiative for students in the health and technology fields. In E. Dagless and P. Hicks, editors, Proceedings of the International Conference on Engineering Education (ICEE 2002), Manchester, UK, 2002.

  77. D. Anguelov, R. Biswas, D. Koller, B. Limketkai, S. Sanner, and S. Thrun. Learning hierarchical object maps of non-stationary environments with mobile robots. In Proceedings of the 17th Annual Conference on Uncertainty in AI (UAI), 2002.

  78. M. Montemerlo, J. Pineau, N. Roy, S. Thrun, and V. Verma. Experiences with a mobile robotic guide for the elderly. In Proceedings of the AAAI National Conference on Artificial Intelligence, Edmonton, Canada, 2002. AAAI.

  79. M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit. FastSLAM: A factored solution to the simultaneous localization and mapping problem. In Proceedings of the AAAI National Conference on Artificial Intelligence, Edmonton, Canada, 2002. AAAI.

  80. C. Martin and S. Thrun. Online acquisition of compact volumetric maps with mobile robots. In IEEE International Conference on Robotics and Automation (ICRA), Washington, DC, 2002. ICRA.

  81. M. Montemerlo, W. Whittaker, and S. Thrun. Conditional particle filters for simultaneous mobile robot localization and people-tracking. In IEEE International Conference on Robotics and Automation (ICRA), Washington, DC, 2002. ICRA.

  82. M. Bennewitz, W. Burgard, and S. Thrun. Learning motion patterns of persons for mobile service robots. In IEEE International Conference on Robotics and Automation (ICRA), Washington, DC, 2002. ICRA.

  83. S. Thrun, J. Langford, and V. Verma. Risk sensitive particle filters. In Advances in Neural Information Processing Systems 14. MIT Press, 2002.

  84. E. Zalama, G. Candela, J. Gomez, and S. Thrun. Concurrent mapping and localization for mobile robots with segmented local maps. In Proceedings of the Conference on Intelligent Robots and Systems (IROS), Lausanne, Switzerland, 2001.

  85. S. Thrun, W. Burgard, D. Chakrabarti, R. Emery, Y. Liu, and C. Martin. A real-time algorithm for acquiring multi-planar volumetric models with mobile robots. In Proceedings of the 10th International Symposium of Robotics Research (ISRR'01), Lorne, Australia, 2001. Springer.

  86. H. Durrant-Whyte, S. Majumder, S. Thrun, M. de Battista, and S. Scheding. A Bayesian algorithm for simultaneous localization and map building. In Proceedings of the 10th International Symposium of Robotics Research (ISRR'01), Lorne, Australia, 2001.

  87. S. Thrun. Learning occupancy grids with forward models. In Proceedings of the Conference on Intelligent Robots and Systems (IROS'2001), Hawaii, 2001.

  88. M. Bennewitz, W. Burgard, and S. Thrun. Optimizing priority schemes for decoupled path planning techniques. In Proceedings of the Conference on Intelligent Robots and Systems (IROS'2001), Hawaii, 2001.

  89. D. Margaritis, C. Faloutsos, and S. Thrun. Netcube: A scalable tool for fast data mining and compression. In Proceedings of the 2001 International Conference on Very Large Databases, Rome, Italy, 2001.

  90. M. Bennewitz, W. Burgard, and S. Thrun. Constraint-based optimization of priority schemes for decoupled path planning techniques. In Proceedings of the Joint German Austrian Conference on Artificial Intelligence. Springer Verlag, 2001.

  91. D. Margaritis and S. Thrun. A Bayesian multiresolution independence test for continuous variables. In Proceedings of the 17th Annual Conference on Uncertainty in AI (UAI), 2001.

  92. Y. Liu, R. Emery, D. Chakrabarti, W. Burgard, and S. Thrun. Using EM to learn 3D models with mobile robots. In Proceedings of the International Conference on Machine Learning (ICML), 2001.

  93. C. Rosenberg, M. Hebert, and S. Thrun. Color constancy using KL divergence. In Proceedings of the International Conference on Computer Vision (ICCV), Vancouver, Canada, 2001.

  94. M. Bennewitz, W. Burgard, and S. Thrun. Optimizing schedules for prioritized path planning of multi-robot systems. In IEEE International Conference on Robotics and Automation (ICRA), Seoul, Korea, 2001. ICRA.

  95. L. Lita, J. Schulte, and S. Thrun. A multi-agent system for agent coordination in uncertain environments (short paper). In Proceedings of Agents, Montreal, CA, 2001.

  96. F. Dellaert, S. Seitz, S. Thrun, and C. Thorpe. Feature correspondence: A Markov chain monte carlo approach. In T.K. Leen, T. Dietterich, and B. Van Roy, editors, Advances in Neural Information Processing Systems 13. MIT Press, 2001.

  97. N. Roy, J. Pineau, and S. Thrun. Spoken dialogue management using probabilistic reasoning. In Proceedings of the 38th Annual Meeting of the Association for Computational Linguistics (ACL-2000), Hong Kong, 2000.

  98. R. Simmons, D. Apfelbaum, D. Fox, R.P. Goldmann, K.Z. Haigh, D.J. Musliner, M. Pelican, and S. Thrun. Coordinated deployment of multiple heterogeneous robots. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2000.

  99. F. Dellaert, S. Seitz, C. Thorpe, and S. Thrun. Structure from motion without correspondence. In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition. IEEE, 2000.

  100. S. Thrun, D. Fox, and W. Burgard. Monte carlo localization with mixture proposal distribution. In Proceedings of the AAAI National Conference on Artificial Intelligence, Austin, TX, 2000. AAAI.

  101. C. Boutilier, R. Reiter, M. Soutchanski, and S. Thrun. Decision-theoretic, high-level robot programming in the situation calculus. In Proceedings of the AAAI National Conference on Artificial Intelligence, Austin, TX, 2000. AAAI.

  102. R. Simmons, D. Apfelbaum, W. Burgard, M. Fox, D. an Moors, S. Thrun, and H. Younes. Coordination for multi-robot exploration and mapping. In Proceedings of the AAAI National Conference on Artificial Intelligence, Austin, TX, 2000. AAAI.

  103. S. Thrun, W. Burgard, and D. Fox. A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), San Francisco, CA, 2000. IEEE.

  104. S. Thrun. Towards programming tools for robots that integrate probabilistic computation and learning. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), San Francisco, CA, 2000. IEEE.

  105. W. Burgard, D. Fox, M. Moors, R. Simmons, and S. Thrun. Collaborative multi-robot exploration. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), San Francisco, CA, 2000. IEEE.

  106. S. Thrun. Monte Carlo POMDPs. In S.A. Solla, T.K. Leen, and K.-R. Müller, editors, Advances in Neural Information Processing Systems 12, pages 1064-1070. MIT Press, 2000.

  107. D. Margaritis and S. Thrun. Bayesian network induction via local neighborhoods. In S.A. Solla, T.K. Leen, and K.-R. Müller, editors, Proceedings of Conference on Neural Information Processing Systems (NIPS-12). MIT Press, 1999.

  108. N. Roy and S. Thrun. Coastal navigation with a mobile robot. In Proceedings of Conference on Neural Information Processing Systems (NIPS), 1999.

  109. D. Fox, W. Burgard, H. Kruppa, and S. Thrun. Efficient multi-robot localization based on monte carlo approximation. In Proc. of the 9th International Symposium of Robotics Research (ISRR'99), 1999.

  110. D. Fox, W. Burgard, H. Kruppa, and S. Thrun. Collaborative multi-robot localization. In Proc. of the 23rd German Conference on Artificial Intelligence, Germany (KI'99), 1999.

  111. S. Thrun, M. Bennewitz, W. Burgard, A.B. Cremers, F. Dellaert, D. Fox, D. Hähnel, G. Lakemeyer, C. Rosenberg, N. Roy, J. Schulte, D. Schulz, and W. Steiner. Experiences with two deployed interactive tour-guide robots. In Proceedings of the International Conference on Field and Service Robotics, Pittsburgh, PA, 1999.

  112. S. Thrun, J. Langford, and D. Fox. Monte carlo hidden markov models: Learning non-parametric models of partially observable stochastic processes. In Proceedings of the International Conference on Machine Learning, Bled, Slovenia, 1999.

  113. W. Burgard, D. Fox, H. Jans, C. Matenar, and S. Thrun. Sonar-based mapping of large-scale mobile robot environments using EM. In Proceedings of the International Conference on Machine Learning, Bled, Slovenia, 1999.

  114. D. Fox, W. Burgard, F. Dellaert, and S. Thrun. Monte Carlo localization: Efficient position estimation for mobile robots. In Proceedings of the National Conference on Artificial Intelligence (AAAI), Orlando, FL, 1999. AAAI.

  115. F. Dellaert, W. Burgard, D. Fox, and S. Thrun. Using the condensation algorithm for robust, vision-based mobile robot localization. In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition, Fort Collins, CO, 1999. IEEE.

  116. S. Thrun, M. Bennewitz, W. Burgard, A.B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, and D. Schulz. MINERVA: A second generation mobile tour-guide robot. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 1999.

  117. N. Roy and S. Thrun. Online self-calibration for mobile robots. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 1999.

  118. F. Dellaert, D. Fox, W. Burgard, and S. Thrun. Monte Carlo localization for mobile robots. 1999.

  119. N. Roy, W. Burgard, D. Fox, and S. Thrun. Coastal navigation: Robot navigation under uncertainty in dynamic environments. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 1999.

  120. J. Schulte, C. Rosenberg, and S. Thrun. Spontaneous short-term interaction with mobile robots in public places. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 1999.

  121. F. Dellaert, C. Thorpe, and S. Thrun. Super-resolved texture tracking of planar surface patches. In Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS'98), 1998.

  122. D. Margaritis and S. Thrun. Learning to locate an object in 3d space from a sequence of camera images. In Proceedings of the International Conference on Machine Learning (ICML), 1998.

  123. S. Thrun, J.-S. Gutmann, D. Fox, W. Burgard, and B. Kuipers. Integrating topological and metric maps for mobile robot navigation: A statistical approach. In Proceedings of the AAAI Fifteenth National Conference on Artificial Intelligence, 1998.

  124. S. Waldherr, S. Thrun, R. Romero, and D. Margaritis. Template-based recognition of pose and motion gestures on a mobile robot. In Proceedings of the AAAI Fifteenth National Conference on Artificial Intelligence, pages 977-982, 1998.

  125. W. Burgard, A.B., Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, and S. Thrun. The interactive museum tour-guide robot. In Proceedings of the AAAI Fifteenth National Conference on Artificial Intelligence, 1998.

  126. D. Fox, W. Burgard, S. Thrun, and A.B. Cremers. Position estimation for mobile robots in dynamic environments. In Proceedings of the AAAI Fifteenth National Conference on Artificial Intelligence, 1998.

  127. K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. Learning to classify text from labeled and unlabeled documents. In Proceedings of the AAAI Fifteenth National Conference on Artificial Intelligence, 1998.

  128. S. Thrun. Finding landmarks for mobile robot navigation. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 1998.

  129. S. Thrun, D. Fox, and W. Burgard. Probabilistic mapping of an environment by a mobile robot. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 1998.

  130. D. Fox, W. Burgard, and S. Thrun. A hybrid collision avoidance method for mobile robots. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 1998.

  131. H. Choset, K. Nagatani, and S. Thrun. Towards exact localization without explicit localization: The topological voronoi graph. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 1998.

  132. W. Burgard, D. Fox, and S. Thrun. Active mobile robot localization. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI), San Mateo, CA, 1997. Morgan Kaufmann.

  133. S. Thrun and A. Bücken. Integrating grid-based and topological maps for mobile robot navigation. In Proceedings of the AAAI Thirteenth National Conference on Artificial Intelligence, Portland, Oregon, 1996.

  134. A. Bücken and S. Thrun. Learning topological maps: An alternative approach. In Proceedings of the AAAI Thirteenth National Conference on Artificial Intelligence, Portland, Oregon, 1996. (student abstract).

  135. S. Thrun and J. O'Sullivan. Discovering structure in multiple learning tasks: The TC algorithm. In L. Saitta, editor, Proceedings of the 13th International Conference on Machine Learning ICML-96, San Mateo, CA, 1996. Morgen Kaufmann.

  136. S. Thrun. Is learning the N-th thing any easier than learning the first? In D. Touretzky and M Mozer, editors, Advances in Neural Information Processing Systems (NIPS) 8, pages 640-646, Cambridge, MA, 1996. MIT Press.

  137. D. Fox, W. Burgard, and S. Thrun. Controlling synchro-drive robots with the dynamic window approach to collision avoidance. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'96), 1996.

  138. S. Thrun and T. Mitchell. Learning one more thing. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI), San Mateo, CA, 1995. Morgan Kaufmann.

  139. S. Thrun and A. Schwartz. Finding structure in reinforcement learning. In G. Tesauro, D. Touretzky, and T. Leen, editors, Advances in Neural Information Processing Systems (NIPS) 7, Cambridge, MA, 1995. MIT Press.

  140. S. Thrun. Learning to play the game of chess. In G. Tesauro, D. Touretzky, and T. Leen, editors, Advances in Neural Information Processing Systems (NIPS) 7, Cambridge, MA, 1995. MIT Press.

  141. S. Thrun. Extracting rules from artificial neural networks with distributed representations. In G. Tesauro, D. Touretzky, and T. Leen, editors, Advances in Neural Information Processing Systems (NIPS) 7, Cambridge, MA, 1995. MIT Press.

  142. S. Thrun. A lifelong learning perspective for mobile robot control. In Proceedings of the IEEE/RSJ/GI Conference on Intelligent Robots and Systems, pages 23-30, 1994. Also appeared in "Intelligent Robots and Systems," V. Graefe (ed.), 1995.

  143. S. Thrun and T. Mitchell. Integrating inductive neural network learning and explanation-based learning. In R. Bajcsy, editor, Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence (IJCAI), San Mateo, CA, 1993. Morgan Kaufmann.

  144. T. Mitchell and S. Thrun. Explanation-based learning: A comparison of symbolic and neural network approaches. In P. Utgoff, editor, Proceedings of the Tenth International Conference on Machine Learning, pages 197-204, San Mateo, CA, 1993. Morgan Kaufmann.

  145. T. Mitchell and S. Thrun. Explanation-based neural network learning for robot control. In Advances in Neural Information Processing Systems (NIPS) 5, pages 287-294, San Mateo, CA, 1993. Morgan Kaufmann.

  146. S. Thrun. Exploration and model building in mobile robot domains. In E. Ruspini, editor, Proceedings of the IEEE International Conference on Neural Networks, pages 175-180, San Francisco, CA, 1993. IEEE Neural Network Council.

  147. S. Thrun and K. Möller. Active exploration in dynamic environments. In Advances in Neural Information Processing Systems (NIPS) 4, pages 531-538, San Mateo, CA, 1992. Morgan Kaufmann.

  148. S. Thrun, K. Möller, and A. Linden. Planning with an adaptive world model. In D. Touretzky and R. Lippmann, editors, Advances in Neural Information Processing Systems (NIPS) 3, pages 450-456, San Mateo, CA, 1991. Morgan Kaufmann.

  149. D. Fox, V. Heinze, K. Möller, S. Thrun, and G. Veenker. Learning by error-driven decomposition. In T. Kohonen O. Simula, editor, Proceedings of the International Conference on Neural Networks, Amsterdam, 1991. Elsevier.

  150. S. Thrun, K. Möller, and A. Linden. Adaptive look-ahead planning. In J.C. Rault, editor, Proceedings Neuro-Nimes, Nimes, France, EC2, 1990.

  151. K. Möller and S. Thrun. Task modularization by network modulation. In J.C. Rault, editor, Proceedings Neuro-Nimes, Nimes, France, EC2, 1990.


REFEREED WORKSHOP & SYMPOSIUM PAPERS


  1. B. Gerkey, S. Thrun, and G. Gordon. Parallel stochastic hill-climbing with small teams. In L. Parker, F. Schneider, and A. Schultz, editors, Proceedings of the 3rd International Workshop on Multi-Robot Systems, Amsterdam, 2004. NRL, Kluwer Publisher.

  2. M. Montemerlo and S. Thrun. Large-scale robotic 3-d mapping of urban structures. In Proceedings of the International Symposium on Experimental Robotics (ISER), Singapore, 2004. Springer Tracts in Advanced Robotics (STAR).

  3. S. Thrun, D. Koller, Z. Ghahramani, H. Durrant-Whyte, and A.Y. Ng. Simultaneous mapping and localization with sparse extended information filters. In J.-D. Boissonnat, J. Burdick, K. Goldberg, and S. Hutchinson, editors, Proceedings of the Fifth International Workshop on Algorithmic Foundations of Robotics, Nice, France, 2002.

  4. J. Pineau, N. Roy, M. Montemerlo, S. Thrun, and M. Pollack. Probabilistic control of human robot interaction: Experients with a robotic assistant for nursing homes. In G. Giralt and R. Chatila, editors, Proceedings of the IARP-IEEE/RAS Workshop on Robot Dependability, 2002.

  5. M.E. Pollack, L. Brown, D. Colbry, C. Orosz, B. Peintner, S. Ramakrishnan, S. Engberg, J.T. Matthews, J. Dunbar-Jacobs, C. McCarthy, S. Thrun, M. Montemerlo, J. Pineau, and N. Roy. Pearl: A mobile robotic assistant to the elderly. In AAAI Workshop notes, Menlo Park, CA, 2002. AAAI.

  6. J. Pineau and S. Thrun. High-level robot behavior control using pomdps. In AAAI Workshop notes, Menlo Park, CA, 2002. AAAI.

  7. S. Thrun. A programming language extension for probabilistic robot programming. In Workshop notes of the IJCAI Workshop on Uncertainty in Robotics (RUR), Seattle, WA, 2001. IJCAI, Inc.

  8. C. Boutilier, R. Reiter, M. Soutchanski, and S. Thrun. A decision-theoretic model of high-level agent programming in the situation calculus: Preliminary notes. In Proceedings of the AIPS workshop on Decision-Theoretic Planning, Breckenridge, CO, 2000.

  9. N. Roy, G. Baltus, D. Fox, F. Gemperle, J. Goetz, T. Hirsch, D. Margaritis, M. Montemerlo, J. Pineau, J. Schulte, and S. Thrun. Towards personal service robots for the elderly. In Proceedings of the Workshop on Interactive Robotics and Entertainment (WIRE), Pittsburgh, PA, 2000. Carnegie Mellon University.

  10. N. Roy, W. Burgard, and S. Thrun. Coastal navigation: Robot motion with uncertainty. In AAAI Fall Symposium Workshop Notes. AAAI, 1998.

  11. R. Romero, S. Waldherr, and S. Thrun. A neural-network based approach for recognition of pose and motion gestures on a mobile robot. In Proceedings of the IEEE Vth Brazilian Symposium on Neural Networks, 1998.

  12. W. Burgard, A.B. Cremers, D. Fox, G. Lakemeyer, D. Hähnel, D. Schulz, W. Steiner, and S. Thrun. The museum tour-guide robot RHINO. In Proceedings of the 14. Fachgespräch Autonome Mobile Systeme (AMS '98). Springer Verlag, 1998.

  13. F. Dellaert, S. Thrun, and C. Thorpe. Jacobian images of super-resolved texture maps for model-based motion estimation and tracking. In Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV-98), 1998.

  14. J. Schulte and S. Thrun. Reinforcement learning for intelligent building control. In Proceedings of the Conference on Automated Learning and Discovery, Workshop on Machine Learning and Reinforcement Learning for Manufacturing, 1998.

  15. S. Thrun and N. Roy. Integrating learning for robust development. In Proceedings of the 1998 AAAI Spring Symposium, 1998.

  16. R. Simmons and S. Thrun. Languages and tools for task-level robotics integration. In Proceedings of the 1998 AAAI Spring Symposium, 1998.

  17. W. Burgard, A.B. Cremers, D. Fox, G. Lakemeyer, D. Hähnel, D. Schulz, W. Steiner, and S. Thrun. Real robots for the real world--the RHINO museum tour-guide project. In Proceedings of the 1998 AAAI Spring Symposium, 1998.

  18. C. Faloutsos, G. Gibson, T. Mitchell, A.W. Moore, and S. Thrun. Data mining at CALD-CMU: Tools, experiences and research directions. In Proceedings of the AFCEA International's First Federal Data Mining Symposium, Washington, D.C, 1997.

  19. S. Thrun. Discovering landmarks and learning models for mobile robot navigation. In Proceedings of AAAI Fall Symposium, 1997.

  20. W. Burgard, D. Fox, and S. Thrun. Active mobile robot localization by entropy minimization. In Proceedings of the 2nd Euromicro Workshop on Advanced Mobile Robots. IEEE/CS, 1997.

  21. T. Mitchell, J. O'Sullivan, and S. Thrun. Explanation-based learning for mobile robot perception. In Proceedings of the Robot Learning Workshop at the Eleventh Conference in Machine Learning, 1994.

  22. S. Thrun and A. Schwartz. Issues in using function approximation for reinforcement learning. In M. Mozer, P. Smolensky, D. Touretzky, J. Elman, and A. Weigend, editors, Proceedings of the 1993 Connectionist Models Summer School, pages 255-263, Hillsdale, NJ, 1993. Erlbaum Associates.

  23. S. Thrun and A. Linden. Inversion in time. In L.B. Almeida and C. Wellekens, editors, Proceedings of the EURASIP Workshop on Neural Networks. Springer Scientific Publishers, 1990.


UNREFEREED CONFERENCE PAPERS


  1. S. Thrun. Particle filters in robotics. In Proceedings of the 17th Annual Conference on Uncertainty in AI (UAI), 2002.

  2. S. Thrun, M. Bennewitz, W. Burgard, A.B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, and D. Schulz. MINERVA: A tour-guide robot that learns. In Proc. of the 23rd German Conference on Artificial Intelligence, Germany (KI'99). Springer Verlag, 1999.

  3. R. Simmons, S. Thrun, G. Armstrong, R. Goodwin, K. Haigh, S. Koenig, S. Mahamud, D. Nikovski, and J. O'Sullivan. Amelia (extended abstract). In Proceedings of the AAAI Thirteenth National Conference on Artificial Intelligence, Portland, Oregon, 1996.

  4. S. Thrun. The role of transfer in learning. In Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society, La Jolla, CA, 1996.

  5. A.B. Cremers, S. Thrun, and W. Burgard. From AI technology research to applications. In K. Duncan and K. Kruger, editors, Proceedings of the IFIP Congress-Volume 3, Amsterdam, Holland, 1994. Elsevier Science B.V. Publishers.

  6. S. Thrun, K. Möller, and A. Linden. Adaptive look-ahead planning. In G. Dorffner, editor, Proceedings KONNAI/OEGAI. Springer Scientific Publishers, 1990.


UNREFEREED WORKSHOP & SYMPOSIUM PAPERS & ABSTRACTS


  1. D. Anguelov, D. Koller, P. Srinivasan, S. Thrun, H.-C. Pang, and J. Davis. The correlated correspondence algorithm for unsupervised registration of nonrigid surfaces. In Proceedings of the Snowbird Workshop "Machines That Learn", Snowbird, UT, 2004. NIPS Foundation. Extended abstract.

  2. W. Burgard, D. Hähnel, R. Triebel, and S. Thrun. Mapping with mobile robots in dynamic environments. In Proceedings of the Snowbird Workshop "Machines That Learn", Snowbird, UT, 2003. NIPS Foundation. Extended abstract.

  3. S. Thrun, D. Hähnel, and W. Burgard. Modeling nonrigid objects from range data. In Proceedings of the Snowbird Workshop "Machines That Learn", Snowbird, UT, 2003. NIPS Foundation. Extended abstract.

  4. J. Pineau, M. Montemerlo, M. Pollack, N. Roy, and S. Thrun. Towards robotic assistants in nursing homes: challenges and results. In T. Fong and I. Nourbakhsh, editors, Workshop notes (WS8: Workshop on Robot as Partner: An Exploration of Social Robots), IEEE International Conference on Robots and Systems, Lausanne, Switzerland, 2002. IEEE.

  5. S. Thrun, Y. Liu, R. Emery, and D. Chakrabarti. Learning 3D environment models with mobile robots. In Proceedings of the Snowbird Workshop "Machines That Learn", Snowbird, UT, 2001. NIPS Foundation. Extended abstract.

  6. S. Thrun. Particle filters for mobile robot navigation. In Proceedings of the Snowbird Workshop "Machines That Learn", Snowbird, UT, 2000. NIPS Foundation. Extended abstract.

  7. S. Thrun. Monte carlo hidden markov models. In Proceedings of the Snowbird Workshop "Machines That Learn", Snowbird, UT, 1999. NIPS Foundation. Extended abstract.

  8. D. Fox, W. Burgard, and S. Thrun. Probabilistic methods for mobile robot mapping. In Proc. of the IJCAI-99 Workshop on Adaptive Spatial Representations of Dynamic Environments, 1999.

  9. S. Thrun, D. Fox, and W. Burgard. Probabilistic state estimation in robotics. In Proceedings of the Workshop on Self-Organization of Adaptive Behavior, Ilmenau, Germany, 1997. VDI-Verlag.

  10. S. Thrun. Discovering landmarks for mobile robot navigation. In Proceedings of the Snowbird Workshop "Machines That Learn", Snowbird, UT, 1997. NIPS Foundation. Extended abstract.

  11. S. Thrun. The museum tourguide project: Experiences with a deployed service robot. In Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Monterey, CA, 1997.

  12. S. Thrun. Discovering hierarchies in families of supervised learning tasks. In Proceedings of the Snowbird Workshop "Machines That Learn", Snowbird, UT, 1996. NIPS Foundation. Extended abstract.

  13. S. Thrun and J. O'Sullivan. Learning more from less data: Experiments in lifelong learning. In Seminar Digest. IEE, 1996.

  14. S. Thrun. Neural network learning in the domain of chess. In Proceedings of the Snowbird Workshop "Machines That Learn", Snowbird, UT, 1994. NIPS Foundation. Extended abstract.

  15. S. Thrun. Explanation-based rule extraction from artificial neural networks. In Proceedings of the Snowbird Workshop "Machines That Learn", Snowbird, UT, 1993. NIPS Foundation. Extended abstract.

  16. S. Thrun. The role of exploration in autonomous robot navigation. In Proceedings of the Snowbird Workshop "Machines That Learn", Snowbird, UT, 1992. NIPS Foundation. Extended abstract.


TECHNICAL REPORTS


  1. D. Ferguson, A. Stentz, and S. Thrun. Planning with pinch points. Technical Report CMU-RI-TR-04-06, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, January 2004.

  2. D. Anguelov, D. Koller, P. Srinivasan, S. Thrun, H.-C. Pang, and J. Davis. The correlated correspondence algorithm for unsupervised registration of nonrigid surfaces. Technical Report TR-SAIL-2004-100, Stanford AI Lab, Stanford. CA, March 2004.

  3. J. Glover, D. Holstius, M. Manojlovich, K. Montgomery, A. Powers, J. Wu, S. Kiesler, J. Matthews, and S. Thrun. A robotically-augmented walker for older adults. Technical Report CMU-CS-03-170, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 2003.

  4. M. Likhachev, G. Gordon, and S. Thrun. ARA*: Formal analysis. Technical Report CMU-CS-03-148, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 2003.

  5. M. Montemerlo, D. Hähnel, D. Ferguson, R. Triebel, W. Burgard, S. Thayer, W. Whittaker, and S. Thrun. A system for three-dimensional robotic mapping of underground mines. Technical Report CMU-CS-02-185, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 2002.

  6. J. Pineau and S. Thrun. An integrated approach to hierarchy and abstraction for POMDPs. Technical Report CMU-RI-02-21, Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, 2002.

  7. S. Thrun, D. Koller, Z. Ghahramani, H. Durrant-Whyte, and A.Y. Ng. Simultaneous mapping and localization with sparse extended information filters:theory and initial results. Technical Report CMU-CS-02-112, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 2002.

  8. S. Thrun. Robotic mapping: A survey. Technical Report CMU-CS-02-111, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 2002.

  9. D. Margaritis, C. Faloutsos, and S. Thrun. Netcube: A scalable tool for fast data mining and compression. Technical Report CMU-CS-01-133, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 2001.

  10. S. Thrun. An online mapping algorithm for teams of mobile robots. Technical Report CMU-CS-00-167, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 2000.

  11. S Thrun. Probabilistic algorithms in robotics. Technical Report CMU-CS-00-126, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 2000.

  12. S. Thrun, D. Fox, W. Burgard, and F. Dellaert. Robust monte carlo localization for mobile robots. Technical Report CMU-CS-00-125, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 2000.

  13. F. Dellaert, C. Thorpe, and S. Thrun. Mosaicing a large number of widely dispersed, noisy, and distorted images: A Bayesian approach. Technical Report CMU-RI-TR-99-34, Carnegie Mellon University, Pittsburgh, PA, 1999.

  14. D. Margaritis and S. Thrun. Bayesian network induction via local neighborhoods. Technical Report CMU-CS-99-134, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 1999.

  15. D. Fox, W. Burgard, and S. Thrun. Markov localization for reliable robot navigation and people detection. In Modeling and Planning for Sensor-Based Intelligent Robot Systems, Lecture Notes in Computer Science. Springer Verlag, 1999. To appear.

  16. S. Thrun and J. Langford. Monte carlo hidden markov models. Technical Report CMU-CS-98-179, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 1998.

  17. S. Thrun. A framework for programming embedded systems: Initial design and results. Technical Report CMU-CS-98-142, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 1998.

  18. S. Thrun, C. Faloutsos, T. Mitchell, and L. Wasserman. Automated learning and discovery: State-of-the-art and research topics in a rapidly growing field. Technical Report CMU-CALD-98-100, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 1998.

  19. W. Burgard, A.B. Cremers, D. Fox, D. Hähnel, G. Lakemeyer, D. Schulz, W. Steiner, and S. Thrun. Experiences with an interactive museum tour-guide robot. Technical Report CMU-CS-98-139, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 1998.

  20. K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. Using em to classify text from labeled and unlabeled documents. Technical Report CMU-CS-98-120, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 1998.

  21. S. Thrun, D. Fox, and W. Burgard. A probabilistic approach for concurrent map acquisition and localization for mobile robots. Technical Report CMU-CS-97-183, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 1997.

  22. S. Thrun. A Bayesian approach to landmark discovery and active perception for mobile robot navigation. Technical Report CMU-CS-96-122, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 1996.

  23. S. Thrun and A. Bücken. Learning maps for indoor mobile robot navigation. Technical Report CMU-CS-96-121, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 1996.

  24. D. Fox, W. Burgard, and S. Thrun. The dynamic window approach to collision avoidance. Technical Report IAI-TR-95-13, University of Bonn, Institut für Informatik III, 1995.

  25. S. Thrun and J. O'Sullivan. Clustering learning tasks and the selective cross-task transfer of knowledge. Technical Report CMU-CS-95-209, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 1995.

  26. S. Thrun. Lifelong learning: A case study. Technical Report CMU-CS-95-208, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 1995.

  27. S. Thrun and T. Mitchell. Learning one more thing. Technical Report CMU-CS-94-184, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 1994.

  28. S. Thrun. Lifelong robot learning. Technical Report IAI-TR-93-7, University of Bonn, Institut für Informatik III, 1993.

  29. S. Thrun. Extracting provably correct rules from artificial neural networks. Technical Report IAI-TR-93-5, University of Bonn, Institut für Informatik III, 1993.

  30. S. Thrun. Efficient exploration in reinforcement learning. Technical Report CMU-CS-92-102, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 1992.

  31. S. Thrun, J. Bala, E. Bloedorn, I. Bratko, B. Cestnik, J. Cheng, K. De Jong, S. Dzeroski, R. Hamann, K. Kaufman, S. Keller, I. Kononenko, J. Kreuziger, R.S. Michalski, T. Mitchell, P. Pachowicz, B. Roger, H. Vafaie, W. Van de Velde, W. Wenzel, J. Wnek, and J. Zhang. The MONK's problems: A performance comparison of different learning algorithms. Technical Report CMU-CS-91-197, Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, 1991.

  32. S. Thrun and K. Möller. On planning and exploration in non-discrete environments. Technical Report Arbeitspapiere Nr. 528, National Research Center For Information Technology (GMD), Sankt Augustin, Germany, 1991.

  33. S. Thrun and F. Smieja. A general feed-forward algorithm for gradient descent in connectionist networks. Technical Report Arbeitspapiere Nr. 483, National Research Center For Information Technology (GMD), Sankt Augustin, Germany, 1990.


THESES


  1. S. Thrun. Explanation-Based Neural Network Learning: A Lifelong Learning Approach. PhD thesis, University of Bonn, Bonn, Germany, July 1995.

  2. Sebastian Thrun. Backpropagation and neurocontrol. Master's thesis, University of Bonn, 1992. In German.