An adaptive framework for ‘single shot’ motion planning: A self-tuning system for rigid and articulated robots

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 1, Issue , 2001, Pages 21-26

  Vallejo, Daniel ^a   Remmler, I ^b   Amato, N M ^b  

^a UNIVERSIDAD DE LAS AMÉRICAS PUEBLA   (Mexico)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER AIDED DESIGN; ITERATIVE METHODS; ROBOTS; THREE DIMENSIONAL COMPUTER GRAPHICS;

ARTICULATED ROBOTS; SELF-TUNING SYSTEMS;

MOTION PLANNING;

EID: 0034861019     PISSN: 10504729     EISSN: None     Source Type: Journal    
DOI: 10.1109/ROBOT.2001.932524     Document Type: Article

References (24)

1. Choosing good distance metrics and local planners for probabilistic roadmap methods
2. OBPRM: An obstacle-based PRM for 3D workspaces
3. A randomized roadmap method for path and manipulation planning
4. Robot motion planning: A distributed representation approach
5. Enhancing randomized motion planners: Exploring with haptic hints
6. The ariadne's clew algorithm: Global planning with local methods
7. An opportunistic global path planner
8. ERPP: An experience-based randomized path planner
9. Assembly maintainability study with motion planning
10. SANDROS: A dynamic graph search algorithm for motion planning
11. Solving findpath by combination of directed and randomized search
12. Path planning in expansive configuration spaces
13. Probabilistic roadmaps for path planning in high-dimensional configuration spaces
14. Motion planning with six degrees of freedom by multistrategic bidirectional heuristic free space enumeration
15. RRT-conneet: An efficient approach to single-query path planning
16. A probabilistic learning approach to motion planning
17. An adaptive framework for 'single shot' motion planning
18. Fast swept-volume distance for robust collision detection