JamTac: A Tactile Jamming Gripper for Searching and Grasping in Low-Visibility Environments
Shoujie Li, Linqi Ye, Haixin Yu, Yin Xianghui, Chongkun Xia, Wenbo Ding, Xueqian Wang, Bin Liang
- 发表年份
- 2023
- 引用次数
- 12
摘要
Humans can feel and grasp efficiently in the dark through tactile feedback, whereas it is still a challenging task for robots. In this research, we create a novel soft gripper named JamTac, which has high-resolution tactile perception, a large detection surface, and integrated sensing-grasping capability that can search and grasp in low-visibility environments. The gripper combines granular jamming and visuotactile perception technologies. Using the principle of refractive index matching, a refraction-free liquid-particle rationing scheme is developed, which makes the gripper itself to be an excellent tactile sensor without breaking its original grasping capability. We simultaneously acquire color and depth information inside the gripper, making it possible to sense the shape, texture, hardness, and contact force with high resolution. Experimental results demonstrate that JamTac can be a promising tool to search and grasp in situations when vision is not available.
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