This paper presents a motion planning algorithm capable of exploiting the experience gained in previous path computations in the same static workspace.

This paper presents a motion planning algorithm ca- pable of exploiting the experience gained in previous path computations in the same static workspace.

This paper presents a motion planning algorithm capable of exploiting the experience gained in previous path computations in the same static workspace.

ERPP: An experience-based randomized path planner. Caselli S., Reggiani M ... Randomized motion planning on parallel and distributed architectures.

In this work, we have built a parallel path planning system based on RRTs that interleaves planning and execution, first evaluating it in simulation and then ...

Reggiani, ERPP: an Experience-based Randomized Path Planner, IEEE International Conference on Robotics and Automation, ICRA 2000, San. Francisco, CA, April ...

This paper presents a potential field planner combining "smart" escape motions from local minima with parallel computation to improve overall performance ...

In this paper we illustrated how it is possible to improve the performance of RRT based motion planners using a parallel approach. Numerous techniques can be ...

ERPP: An experience-based randomized path planner. Published by Institute of Electrical and Electronics Engineers (IEEE) ,2000. Autonomous underwater vehicle ...

115-131, 1998. DOI : 10.1109/ROBOT.1993.292122. S. Caselli and M. Reggiani, ERPP: An experience-based randomized path planner, Proceedings 2000 ICRA.