Learning-assisted multi-step planning

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 2005, Issue , 2005, Pages 4575-4580

  Hauser, Kris ^a   Bretl, Tim ^a   Latombe, Jean Claude ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

Climbing robot; Machine learning; Motion planning; Multi step planning

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER SOFTWARE; LEARNING SYSTEMS; MANIPULATORS; QUERY LANGUAGES; ROBOTICS;

CLIMBING ROBOT; MULTISTEP PLANNING;

MOTION PLANNING;

EID: 33846121289     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2005.1570825     Document Type: Conference Paper

References (18)

1. L. Kavraki and J. Latombe, "Probabilistic roadmaps for robot path planning," Practical Motion Planning in Robotics: Current Approaches and Future Directions, pp. 33-53, 1998.
2. D. Hsu, J. Latombe, and R. Motwani, "Path planning in expansive configuration spaces," in Int. J. of Computational Geometry and Applications, 1999, pp. 495-512.
3. T. Bretl, S. Lall, J. Latombe, and S. Rock, "Multi-step motion planning for free-climbing robots," in Sixth International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2004.
4. R. Alami, J.-P. Laumond, and T. Simeon, "Two manipulation planning algorithms," Algorithmic Foundations of Robotics, pp. 109-125, 1995.
5. C. Nielsen and L. E. Kavraki, "A two-level fuzzy prm for manipulation planning," in Proceedings of The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE Press (Refereed), November 2000, pp. 1716-1722.
6. J. Kuffner, K. Nishiwaki, S. Kagami, M. Inaba, and H. Inoue, "Motion planning for humanoid robots," in International Symposium on Robotics Research, Sienna, Italy, 2003.
7. J. Xiao and X. Ji, "A divide-and-merge approach to automatic generation of contact states and planning of contact motion," in IEEE International Conference on Robotics and Automation, 2000.
8. T. Bretl, S. Rock, J. Latombe, B. Kennedy, and H. Aghazarian, "Free-climbing with a multi-use robot," in 9th Int. Symp. on Experimental Robotics, Singapore, June 2004.
9. D. Mitchell, B. Selman, and H. Levesque, "Hard and easy distributions of sat problems," in Proceedings of the Tenth National Conference on Artificial Intelligence, 1992.
10. K. Leyton-Brown, E. Nudelman, and Y. Shoham, "Learning the empirical hardness of optimization problems: the case of combinatorial auctions," in Constraint Programming, 2002.
11. T. Bretl, J. Latombe, and S. Rock, "Toward autonomous free-climbing robots," in International Symposium on Robotics Research, Sienna, Italy, 2003.
12. G. Sanchez-Ante and J. Latombe, "On delaying collision checking in prm planning - application to multi-robot coordination," in Int. J. of Robotics Research, January 2002, pp. 5-26.
13. S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Second edition. Prentice Hall, 2003.
14. B. Schölkopf, "Support vector learning," Ph.D. dissertation, Informatik der Technischen Univeritat Berlin, 1997.
15. C. J. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery, pp. 121-167, 1998.
16. T. Joachims, "Making large-scale svm learning practical," Advances in Kernel Methods - Support Vector Learning, 1999.
17. _, SVMlight manual. [Online]. Available: http://svmlight.joachims. org/
18. M. Momma and K. P. Bennett, "A pattern search method for model selection of support vector regression," in Second SIAM International Conference of Data Mining, 2002.