Design and Characterisation of a Soft Barometric Sensing Skin for Robotic Manipulation

Kieran Gilday, Louis Relandeau,Fumiya Iida

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)(2022)

引用 2|浏览0
暂无评分
摘要
Soft sensorised skins are essential for improving robotic manipulation capabilities towards that of humans. Integration of sensors into existing robotic hands is challenging due to rigidity of components, low packing density or poor sensor response. We propose a sensorised skin, based-on barometric sensing, which can be molded over a skeletal robot hand. The sensors connect air chambers embedded in the soft skin to wristmounted pressure sensors, allowing sensor spacing 2-4 mm, force ranges from 23 mN to 5700 mN and bandwidth of 20 Hz. Integrating this with a skeletal hand allows us to showcase the potential of these sensors to aid robotic manipulation. We demonstrate 3-axis contact modelling, useful for in-hand manipulation and exploration. In addition, by grasping a chopstick and sensing forces transmitted from the environment, the system can remotely detect small environmental features, e.g., hole finding using tools.
更多
查看译文
关键词
soft barometric sensing skin,robotic manipulation
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