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» Randomized Query Processing in Robot Path Planning
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ICRA
2005
IEEE
118views Robotics» more  ICRA 2005»
13 years 11 months ago
Learning-Assisted Multi-Step Planning
— Probabilistic sampling-based motion planners are unable to detect when no feasible path exists. A common heuristic is to declare a query infeasible if a path is not found in a ...
Kris K. Hauser, Timothy Bretl, Jean-Claude Latombe
ICRA
2007
IEEE
125views Robotics» more  ICRA 2007»
13 years 11 months ago
Single-Query Motion Planning with Utility-Guided Random Trees
— Randomly expanding trees are very effective in exploring high-dimensional spaces. Consequently, they are a powerful algorithmic approach to sampling-based single-query motion p...
Brendan Burns, Oliver Brock
ICRA
2007
IEEE
144views Robotics» more  ICRA 2007»
13 years 11 months ago
Particle RRT for Path Planning with Uncertainty
— This paper describes a new extension to the Rapidly–exploring Random Tree (RRT) path planning algorithm. The Particle RRT algorithm explicitly considers uncertainty in its do...
Nik A. Melchior, Reid G. Simmons
ICRA
2009
IEEE
176views Robotics» more  ICRA 2009»
14 years 4 hour ago
Path planning in 1000+ dimensions using a task-space Voronoi bias
— The reduction of the kinematics and/or dynamics of a high-DOF robotic manipulator to a low-dimension “task space” has proven to be an invaluable tool for designing feedback...
Alexander C. Shkolnik, Russ Tedrake
ICRA
1994
IEEE
105views Robotics» more  ICRA 1994»
13 years 9 months ago
Harmonic Functions and Collision Probabilities
There is a close relationship between harmonic functions { which have recently been proposed for path planning { and hitting probabilities for random processes. The hitting probab...
Christopher I. Connolly