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Path Planning for Improved Visibility Using a Probabilistic Road Map | IEEE Journals & Magazine | IEEE Xplore

Path Planning for Improved Visibility Using a Probabilistic Road Map


Abstract:

This paper focuses on the challenges of vision-based motion planning for industrial manipulators. Our approach is aimed at planning paths that are within the sensing and...Show More

Abstract:

This paper focuses on the challenges of vision-based motion planning for industrial manipulators. Our approach is aimed at planning paths that are within the sensing and actuation limits of industrial hardware and software. Building on recent advances in path planning, our planner augments probabilistic road maps with vision-based constraints. The resulting planner finds collision-free paths that simultaneously avoid occlusions of an image target and keep the target within the field of view of the camera. The planner can be applied to eye-in-hand visual-target-tracking tasks for manipulators that use point-to-point commands with interpolated joint motion.
Published in: IEEE Transactions on Robotics ( Volume: 26, Issue: 1, February 2010)
Page(s): 195 - 200
Date of Publication: 05 February 2010

ISSN Information:


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