A Vision-based Force/Position Fusion Actuation-Sensing Scheme For Tendon-Driven Mechanism

Shiwei Chen, Zhiming Deng,Haiyu Gu, Cheng Wei

IEEE Robotics and Automation Letters(2024)

引用 0|浏览0
暂无评分
摘要
Current robotic sensing systems typically employ multiple sensors to obtain position and force information. This usually leads to many challenges, such as high costs and complex wiring. In this paper, a vision-based force/position fusion actuation-sensing scheme is proposed. The scheme can measure the angles and torques of all joints with only one low-cost camera. Through careful design of the actuation-sensing mechanism, the camera can achieve high resolution and high bandwidth processing. The proposed angle measurement model and external torque measurement model are evaluated by rigorous experiments. The experimental results indicate that the designed mechanism shows excellent repeatability and accuracy. The average error for all angles is less than 1 degree, and the average maximum relative error for torque is 4.43%.
更多
查看译文
关键词
Multifingered Hands,Tendon/Wire Mechanism,Computer Vision for Automation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要