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» Motion planning for urban driving using RRT
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IROS
2008
IEEE
113views Robotics» more  IROS 2008»
13 years 11 months ago
Motion planning for urban driving using RRT
— This paper provides a detailed analysis of the motion planning subsystem for the MIT DARPA Urban Challenge vehicle. The approach is based on the Rapidly-exploring Random Trees ...
Yoshiaki Kuwata, Gaston A. Fiore, Justin Teo, Emil...
ICRA
2007
IEEE
156views Robotics» more  ICRA 2007»
13 years 10 months ago
Multipartite RRTs for Rapid Replanning in Dynamic Environments
Abstract— The Rapidly-exploring Random Tree (RRT) algorithm has found widespread use in the field of robot motion planning because it provides a single-shot, probabilistically c...
Matthew Zucker, James J. Kuffner, Michael S. Brani...
IROS
2008
IEEE
151views Robotics» more  IROS 2008»
13 years 11 months ago
Transition-based RRT for path planning in continuous cost spaces
This paper presents a new method called Transition-based RRT (T-RRT) for path planning problems in continuous cost spaces. It combines the exploration strength of the RRT algorith...
Leonard Jaillet, Juan Cortés, Thierry Sim&e...
IROS
2009
IEEE
227views Robotics» more  IROS 2009»
13 years 11 months ago
Cell-RRT: Decomposing the environment for better plan
— In order to define an architecture for task and motion planning of a mobile robot, we propose the CellRRT path planner that combines the advantages of planning approaches by d...
Julien Guitton, Jean-Loup Farges, Raja Chatila
IROS
2009
IEEE
144views Robotics» more  IROS 2009»
13 years 11 months ago
Behavior-based motion planning for group control
— Despite the large body of work in both motion planning and multi-agent simulation, little work has focused on the problem of planning motion for groups of robots using external...
Christopher Vo, Joseph F. Harrison, Jyh-Ming Lien