导纳
扳手
财产(哲学)
控制理论(社会学)
机器人
运动学
运动控制
运动(物理)
计算机科学
对象(语法)
控制工程
采样(信号处理)
控制(管理)
工程类
人工智能
计算机视觉
电阻抗
物理
经典力学
滤波器(信号处理)
机械工程
认识论
电气工程
哲学
出处
期刊:IEEE robotics and automation letters
日期:2021-03-19
卷期号:6 (2): 4079-4086
被引量:8
标识
DOI:10.1109/lra.2021.3067618
摘要
Admittance control is commonly used for controlling robots that physically interact with the environment or objects. Its goal is to realize a desired admittance property between the interaction wrench and robot motion. The original admittance control requires the interaction wrench and motion be converted to/from the space in which the desired admittance property is defined. In this letter, we first present the end-to-end admittance control formulation that represents the direct relationship between the generalized velocity and interaction wrench measurement when they satisfy the desired admittance property. Based on this formulation, we then develop a sampling-based algorithm for directly computing the robot reference motion without using the actual location of the interaction or the additional inverse kinematics step that is typically required for task-space admittance control. The algorithm is demonstrated in a number of simulation examples including collisions with a moving object and fixed obstacle.
科研通智能强力驱动
Strongly Powered by AbleSci AI