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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Vydané v:	Electronics (Basel) Ročník 7; číslo 12; s. 395
Hlavní autori:	Zha, Fusheng, Liu, Yizhou, Guo, Wei, Wang, Pengfei, Li, Mantian, Wang, Xin, Li, Jingxuan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.12.2018
Predmet:	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
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