Collision-free kinematics for hyper-redundant manipulators in dynamic scenes using optimal velocity obstacles
Autor: | Liangliang Zhao, Zainan Jiang, Yongjun Sun, Jingdong Zhao, Hong Liu |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: | |
Zdroj: | International Journal of Advanced Robotic Systems, Vol 18 (2021) |
Druh dokumentu: | article |
ISSN: | 1729-8814 17298814 |
DOI: | 10.1177/1729881421996148 |
Popis: | Hyper-redundant manipulators have been widely used in the complex and cluttered environment for achieving various kinds of tasks. In this article, we present two contributions. First, we provide a novel algorithm of relating forward and backward reaching inverse kinematic algorithm to velocity obstacles. Our optimization-based algorithm simultaneously handles the task space constraints, the joint limit constraints, and the collision-free constraints for hyper-redundant manipulators based on the generalized framework. Second, we present an extension of our inverse kinematic algorithm to collision avoidance for the hyper-redundant manipulators, where the workspaces may have different types of obstacles. We highlight the performance of our algorithm on hyper-redundant manipulators with various degrees of freedom. The results show that our algorithm has made full use of dexterity of hyper-redundant manipulators in complex environments, enhancing the performance and increasing the flexibility. |
Databáze: | Directory of Open Access Journals |
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