Task-Dependent Comfort Zone, a Base Placement Strategy for Mobile Manipulators Based on Manipulability Measures

Autor: Martin Sereinig, Peter Manzl, Johannes Gerstmayr
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Robotics, Vol 13, Iss 8, p 122 (2024)
Druh dokumentu: article
ISSN: 2218-6581
DOI: 10.3390/robotics13080122
Popis: The present contribution introduces the task-dependent comfort zone as a base placement strategy for mobile manipulators using different manipulability measures. Four different manipulability measures depending on end-effector velocities, forces, stiffness, and accelerations are considered. By evaluating a discrete subspace of the manipulator workspace with these manipulability measures and using image-processing algorithms, a suitable goal position for the autonomous mobile manipulator was defined within the comfort zone. This always ensures a certain manipulator manipulablity value with a lower limit with respect to the maximum possible manipulability in the discrete subspace. Results are shown for three different mobile manipulators using the velocity-dependent manipulability measure in a simulation.
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