Semi-lazy probabilistic roadmap: a parameter-tuned, resilient and robust path planning method for manipulator robots

An indispensable feature of a modern intelligent robot is its capability to plan short and safe motions in the presence of obstacles in its workspace, which is highly important for industrial manipulators in charge of automatic picking and placing, welding, painting, etc. On the other hand, collisio...

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Vydáno v:	International journal of advanced manufacturing technology Ročník 89; číslo 5-8; s. 1401 - 1430
Hlavní autoři:	Akbaripour, Hossein, Masehian, Ellips
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Springer London 01.03.2017 Springer Nature B.V
Témata:	Algorithms Automatic welding Barriers CAE) and Design Collision avoidance Computer simulation Computer-Aided Engineering (CAD End effectors Engineering Entropy (Information theory) Industrial and Production Engineering Manipulators Mechanical Engineering Media Management Motion planning Original Article Parameter robustness Path planning Planning Probabilistic methods Probability theory Road construction Robot arms Robustness Sampling Workspace Motion planning Collision checking strategy Parameter tuning Manipulator robot Semi-lazy probabilistic roadmap Robustness Resilience
ISSN:	0268-3768, 1433-3015
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