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IROS
2007
IEEE
131views Robotics» more  IROS 2007»
14 years 1 months ago
A hybrid approach for complete motion planning
Abstract— We present an efficient algorithm for complete motion planning that combines approximate cell decomposition (ACD) with probabilistic roadmaps (PRM). Our approach uses ...
Liangjun Zhang, Young J. Kim, Dinesh Manocha
PUK
2000
13 years 9 months ago
An Accessibility graph learning approach for task planning in large domains
Abstract. In the stream of research that aims to speed up practical planners, we propose a new approach to task planning based on Probabilistic Roadmap Methods (PRM). Our contribut...
Emmanuel Guere, Rachid Alami
ICRA
2009
IEEE
130views Robotics» more  ICRA 2009»
13 years 5 months ago
Regrasp planning for pivoting manipulation by a humanoid robot
A method of regrasp planning for humanoid robot manipulation is proposed. We adopt pivoting manipulation for the humanoid robot to move a bulky object without lifting in a stable a...
Eiichi Yoshida, Mathieu Poirier, Jean-Paul Laumond...
RAS
1998
145views more  RAS 1998»
13 years 7 months ago
Coordinated path planning for multiple robots
We present a new approach to the multi-robot path planning problem, where a number of robots are to change their positions through feasible motions in the same static environment....
Petr Svestka, Mark H. Overmars
RECOMB
2004
Springer
14 years 8 months ago
Using motion planning to study RNA folding kinetics
We propose a novel, motion planning based approach to approximately map the energy landscape of an RNA molecule. Our method is based on the successful probabilistic roadmap motion...
Xinyu Tang, Bonnie Kirkpatrick, Shawna L. Thomas, ...