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Optimal path planning for mobile manipulator based on manipulability and localizability | IEEE Conference Publication | IEEE Xplore

Optimal path planning for mobile manipulator based on manipulability and localizability


Abstract:

This paper presents an approach to uncertainty-optimal path planning for a mobile manipulator based on localizability and guarantee manipulability simultaneously. Informa...Show More

Abstract:

This paper presents an approach to uncertainty-optimal path planning for a mobile manipulator based on localizability and guarantee manipulability simultaneously. Information matrix is used to indicate the localizability or localization uncertainty in a known map and the cubic Bezier spline is used to represent the path for platform to check. Given a path of end-effector, this algorithm guarantees the manipulability greater than a given value, chooses the uncertainty of end-effector as the optimization index, uses particle swarm optimization algorithm to find an optimal path for platform to track. Simulations and experiments are presented that show the algorithm has the capability to reduce the uncertainty of platform and end-effector.
Date of Conference: 06-10 June 2016
Date Added to IEEE Xplore: 15 December 2016
ISBN Information:
Conference Location: Angkor Wat, Cambodia

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