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Physically Plausible Wrench Decomposition for Multieffector Object Manipulation

delete2018-08-01
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OA
AI
P
Philine Donner *
S
Satoshi Endo
M
Martin Buss
DOI:10.1109/TRO.2018.2830369delete
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摘要

摘要

En 中文
When manipulating an object with multiple effectors such as in multidigit grasping or multiagent collaboration, forces and torques (i.e., wrench) applied to the object at different contact points generally do not fully contribute to the resultant object wrench, but partly compensate each other. The current literature, however, lacks a physically plausible decomposition of the applied wrench into its manipulation and internal components. We formulate the wrench decomposition as a convex optimization problem, minimizing the Euclidean norms of manipulation forces and torques. Physical plausibility in the optimization solution is ensured by constraining the internal and manipulation wrench by the applied wrench. We analyze specific cases of three-fingered grasping and 2-D beam manipulation, and show the applicability of our method to general object manipulationwith multiple effectors. The wrench decomposition method is then extended to quantification of measures that are important in evaluating physical human-human and human-robot interaction tasks. We validate our approach via comparison to the state of the art in simulation and via application to a human-human object transport study.
Keyword:
Cooperative manipulators
force decomposition
grasping
haptics and haptic interfaces
internal force
physical human-robot interaction
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期刊

IEEE Transactions on Robotics 封面图
IEEE Transactions on Robotics
IF:
10.5
论文数:
3.3K
被引数:
2.8W

机构

S
siemens germany
学者数:
969
论文数: 749
被引数: 0
T
Technical University of Munich
学者数:
5.2W
论文数: 3.9W
被引数: 6.2W
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