反向动力学
运动学
解耦(概率)
约束(计算机辅助设计)
反向
运动学方程
控制理论(社会学)
计算机科学
数学优化
数学
机器人运动学
控制工程
工程类
人工智能
移动机器人
机器人
几何学
物理
经典力学
控制(管理)
作者
Xiaofeng Zhang,Gongfa Li,Fan Xiao,Jiang Du,Bo Tao,Jianyi Kong,Guozhang Jiang,Ying Li
标识
DOI:10.1016/j.mechmachtheory.2023.105273
摘要
This paper presents the collision-free solution to the inverse kinematics of a mobile manipulator. The main contribution is to propose a novel inverse kinematics solution framework combining unique domains. The inverse kinematics problem is formulated as an optimization problem in this work. Firstly, the objective function is simplified by the kinematics decoupling method based on improved disconnection and re-connection. Then, the joint variables are decoupled and constrained, and an approach to initialize the variables is proposed. An inverse kinematic solution framework for the manipulator body to avoid obstacles is further presented, and CMA-ES is applied to the framework. Finally, the simulation results demonstrate the effectiveness of the proposed method.
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