Using reinforcement learning to improve exploration trajectories for error minimization

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 2006, Issue , 2006, Pages 3338-3343

  Kollar, Thomas ^a   Roy, Nicholas ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR MINIMIZATION; EXPLORATION TRAJECTORIES; LOCALIZATION PROBLEMS; ROBOT MOTION;

CONFORMAL MAPPING; ERROR CORRECTION; MAXIMUM LIKELIHOOD ESTIMATION; MOTION ESTIMATION; OPTIMIZATION; PROBLEM SOLVING; TRAJECTORIES;

ROBOT LEARNING;

EID: 33845617293     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2006.1642211     Document Type: Conference Paper

References (14)

1. J.A. Bagnell, S. Kakade, A. Ng, J Schneider, "Policy search by dynamic programming," Neural Information Processing Systems, MIT Press, Vol. 16, December, 2003.
2. N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines: Cambridge University Press, Cambridge, UK. 2000.
3. M.W.M.G. Dissanayke, P.M. Newman, H. F. Durrant-Whyte, S.Clark, and M.Csorba, "A solution to the simultaneous localization and map building (slam) problem," IEEE Transactions on Robotics and Automation, vol. 17, no. 3, 2001.
4. Eliazar A.I. and Parr R. "Learning Probabilistic Motion Models for Mobile Robots," Proceedings of the Twenty First International Conference on Machine Learning, 2004.
5. L. Kaelbling, M. Littman, and A. Cassandra, "Planning and acting in partially observable stochastic domains," Artificial Intelligence, Vol 101, pp. 99-134, 1998.
6. M. Lagoudakis and R. Parr, "Least-Squares Policy Iteration," Journal of Machine Learning Research: Vol. 4, p. 1107-1149, 2003.
7. M. Puterman, Markov Decision Processes: Discrete Stochastic Dynamic Programming: J. Wiley and Sons, 1994.
8. R. Sim and N. Roy, "Global A-Optimal Robot Exploration in SLAM" Proceedings of the IEEE/RSJ International Conference of Robotics and Automation (ICRA), 2005.
9. R. Sim, G. Dudek, N. Roy, "Online Control Policy Optimization for Minimizing Map Uncertainty During Exploration" Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2004). New Orleans, April 2004. pp. 1758 - 1763.
10. C. Stachniss and G. Grisetti and W. Burgard. "Information Gain-based Exploration Using Rao-Blackwellized Particle Filters," Proc. of Robotics: Science and Systems (RSS), Cambridge, MA, USA, 2005.
11. R. Button and A. Barto, Reinforcement Learning: An Introduction: MIT Press, Cambridge, MA, 1998.
12. S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics: MIT Press, Cambridge, MA, 2005.
13. G. Welch and G. Bishop, "An Introduction to the Kalman Filter." Technical Report 95-041, UNC Chapel Hill.
14. J. Leonard and H. F. Durrant-Whyte. Simultaneous map building and localization for an autonomous mobile robot. In Proceedings of the IEEE International Workshop on Intelligent Robots and Systems, pages 1442-1447, Osaka, Japan, November 1991.