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» Motion planning for urban driving using RRT
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IROS
2008
IEEE
113views Robotics» more  IROS 2008»
14 years 5 days 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»
14 years 2 days 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»
14 years 5 days 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»
14 years 12 days 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»
14 years 12 days 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