Global Trajectory Planning for Fault Tolerant Manipulators
Author(s)
Paredis, Christiaan J. J.
Khosla, Pradeep K.
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Abstract
Whether a task can be completed after a failure of one of the degrees-of-freedom of a redundant manipulator depends on the joint angle at which the failure takes place.
It is possible to achieve fault tolerance by globally planning a trajectory that avoids unfavorable joint positions before a failure occurs. In this paper, we present
a trajectory planning algorithm that guarantees fault tolerance while simultaneously satisfying joint limit and obstacle avoidance requirements.
Sponsor
Department of Energy (Grant #DE-F902-89ER14042)
Carnegie Mellon University
Sandia (Contract #AL–3020)
Carnegie Mellon University
Sandia (Contract #AL–3020)
Date
1995-08
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