Learning the Metric of Task Constraint Manifolds for Constrained Motion Planning

Finding feasible motion for robots with high-dimensional configuration space is a fundamental problem in robotics. Sampling-based motion planning algorithms have been shown to be effective for these high-dimensional systems. However, robots are often subject to task constraints (e.g., keeping a glas...

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Bibliographic Details

Published in:	Electronics (Basel) Vol. 7; no. 12; p. 395
Main Authors:	Zha, Fusheng, Liu, Yizhou, Guo, Wei, Wang, Pengfei, Li, Mantian, Wang, Xin, Li, Jingxuan
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.12.2018
Subjects:	Algorithms Approximation Constraint modelling Cooperation Efficiency Kinematics Machine learning Manifolds (mathematics) Motion planning Planning Robot dynamics Robotics Robots Sampling System effectiveness
ISSN:	2079-9292, 2079-9292
Online Access:	Get full text
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