An Adaptive Framework for Single Shot Motion Planning: A Self-Tuning System for Rigid and Articulated Robots Academic Article

abstract

• This paper describes an enhanced version of our previously proposed adaptive framework for single shot motion planning. This framework is versitile, and particularly suitable for crowded environments. Our iterative strategy analyzes the characteristics of the query and adaptively selects planners whose strengths match the current situation. Contributions in this paper include an automatic method for setting and adaptively tuning planner characterizations, and reducing the reliance on programmer expertise present in the original framework. The adaptive refinement enables the system to evolve parameters specifically suited for particular classes of applications. The system now supports articulated robots, which were not supported previously. Our experimental results in complex SD CAD environments show that our strategy solves queries that none of the planners could solve on their own.

authors

• Amato, Nancy

published proceedings

• Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164)

author list (cited authors)

• Vallejo, D., Remmler, I., & Amato, N. M.

citation count

• 7

complete list of authors

• Vallejo, Daniel||Remmler, Ian||Amato, Nancy M

publication date

• January 2001

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE International Conference on Robotics and Automation  Journal

Digital Object Identifier (DOI)

• 10.1109/robot.2001.932524

start page

• 21

end page

• 26

volume

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Frobot.2001.932524