A coordinated and hierarchical path planning approach for mobile manipulators

被引：0

作者：

Li, XC ^{[1
]}

Zhao, DB ^{[1
]}

Yi, JQ ^{[1
]}

Lu, XH ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Automat, Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China

来源：

PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9 | 2005年

关键词：

mobile manipulator; path planning; genetic algorithms; OpenGL;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Aiming at the dynamic nonhomogeneity and kinematic redundancy, making reference to the actions of human beings, we propose a new coordinated and hierarchical path planning approach and a dynamic weighting strategy for mobile manipulators, which can avoid obstacles and exert the capability of mobile manipulators to the utmost. Simulation is done by adopting OpenGL, and obtains satisfactory results.

引用

页码：3013 / 3018

页数：6

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