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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Electronics (Basel) Jg. 7; H. 12; S. 395
Hauptverfasser:	Zha, Fusheng, Liu, Yizhou, Guo, Wei, Wang, Pengfei, Li, Mantian, Wang, Xin, Li, Jingxuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.12.2018
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!