Randomized statistical path planning

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2007, Pages 1-6

  Diankov, Rosen ^a   Kuffner, James ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; HEURISTIC METHODS; HEURISTIC PROGRAMMING; INTELLIGENT ROBOTS; INTELLIGENT SYSTEMS; LEARNING SYSTEMS; ROBOTICS; ROBOTS; STATISTICAL METHODS; TIME DOMAIN ANALYSIS;

INTERNATIONAL CONFERENCES; PATH PLANNING; TRAINING DATA;

LEARNING ALGORITHMS;

EID: 51349112185     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2007.4399557     Document Type: Conference Paper

References (15)

1. D. Bertram, J.J. Kuffner, T. Asfour, and R. Dillman. A unified approach to inverse kinematics and path planning for redundant manipulators. In Proc. IEEE Int. Conf. on Robotics and Automation (ICRA'06), pages 1874-1879, 2006.
2. T. F. Cootes, G. J. Edwards, and C. J. Taylor. Active appearance models. IEEE TPAMI, 23(6):681685, 2001.
3. K. Hauser, T. Bretl, J. Latombe. Learning-Assisted Multi-Step Planning. In Proc. IEEE Int. Conf. on Robotics and Automation (ICRA'05), April 2005.
4. K. Hauser, T. Bretl, J. Latombe. Using Motion Primitives in Probabilistic Sample-Based Motion Planning for Humanoid Robots. Workshop on the Algorithmic Foundations of Robotics (WAFR), 2006.
5. M. Kallmann, M. Mataric'. Motion Planning Using Dynamic Roadmaps. In Proc. IEEE Int. Conf. on Robotics and Automation (ICRA'04), April 2004.
6. J.J. Kuffner and S.M. LaValle. RRT-Connect: An efficient approach to single-query path planning. In Proc. IEEE Int'I Conf. on Robotics and Automation (ICRA'2000), pages 995-1001, San Francisco, CA, April 2000.
7. Steven M. LaValle. Planning Algorithms. Cambridge University Press, New York, NY, 2006
8. Y Nakamura, H. Hanafusa. Inverse Kinematics solutions with Singularity Robustness for Robot Manipulator Control. Journal of Dynamic Systems, Measurement, and Control. 108 (1986), pp. 163-171.
9. R Pelessof, A. Miller, P. Allen, T. Jebara. An SVM Learning Approach to Robotic Grasping. In Proc. IEEE Int. Conf. on Robotics and Automation (ICRA'04), April 2004.
10. rd International Conference on Machine Learning, 2006.
11. Stefan Schaal. Is imitation learning the route to humanoid robots?. Trends in Cognitive Sciences, Vol 3, No 6, June 1999.
12. Matthias Seeger. Gaussian Processes for Machine Learning. International Journal of Neural Systems. Vol 14, issue 2, 2004.
13. T Simon, J.-P. Laumond, J. Corts, and A. Sahbani. Manipulation planning with probabilistic roadmaps. International Journal of Robotics Research, vol. 23, no. 7, pp. 729746, 2004.
14. Mikkel B. Stegmann, David Delgado Gomez. A Brief Introduction to Statistical Shape Analysis. Technical University of Denmark, Lyngby, 2002.
15. nd International Conference on Machine Learning, 2005.