摩尔-彭罗斯伪逆
雅可比矩阵与行列式
奇异值分解
冗余(工程)
控制理论(社会学)
运动学
串联机械手
计算机科学
西尔维斯特惯性定律
数学
数学优化
控制(管理)
算法
并联机械手
机器人
对称矩阵
特征向量
人工智能
反向
应用数学
操作系统
经典力学
物理
量子力学
几何学
作者
Shugen Ma,Shigeo Hirose,Hiroshi Yoshinada
摘要
Kinematically redundant manipulators have a number of potential advantages over current manipulator design. For this type of arm, some control methods through pseudoinverse and nullspace of Jacobian matrix had been suggested. Questions associated with them are about the difficulty of real-time control because of voluminous operations for deriving the pseudoinverse matrix by singular value decomposition. In this paper new formulation and control methods for solving redundancy in manipulator arms by locally optimizing a kinematic and/or dynamic criterion are presented. Formulation is performed by means of a joint decomposition technique, resulting in a particularly efficient computational scheme which is feasible for real-time control. Control method based on this formulation is given in low computational cost to compare with conventional control methods.
科研通智能强力驱动
Strongly Powered by AbleSci AI