Maximising the wrench capability of mobile manipulators with experiments on a UVMS.

Front Robot AI

Australian Centre For Robotics (ACFR), University of Sydney, Sydney, NSW, Australia.

Published: January 2025

This paper presents methods for finding optimal configurations and actuator forces/torques to maximise contact wrenches in a desired direction for underwater vehicle manipulator systems (UVMS). The wrench maximisation problem is formulated as a bi-level optimisation problem, with upper-level variables in a low-dimensional parameterised redundancy space, and a linear lower-level problem. We additionally consider the cases of one or more manipulators with multiple contact forces, maximising the wrench capability while tracking a trajectory and generating large wrench impulses using dynamic motions. The specific cases of maximising force to lift a heavy load and maximising torque during a valve-turning operation are considered. Extensive experimental results are presented using a 6 degree of freedom (DOF) underwater robotic platform equipped with a 4DOF manipulator and show significant increases in the wrench capability compared to existing methods for mobile manipulators.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11822218PMC
http://dx.doi.org/10.3389/frobt.2024.1442813DOI Listing

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