Chohei Pang — accepted AI-conference papers

2022

Viko 2.0: A Hierarchical Gecko-Inspired Adhesive Gripper With Visuotactile Sensor

Chohei Pang, Qicheng Wang, Kinwing Mak, Hongyu Yu, Michael Yu Wang

RA-L 2022

Robotic grippers with visuotactile sensors have access to rich tactile information for grasping tasks but encounter difficulty in partially encompassing large objects with sufficient grip force. While hierarchical gecko-inspired adhesives are a potential technique for bridging performance gaps, they

Cited by 16 Source ↗Scholar ↗

2021

Viko: An Adaptive Gecko Gripper with Vision-based Tactile Sensor

Chohei Pang, Kinwing Mak, Yazhan Zhang, Yang Yang, Yu Alexander Tse, Michael Yu Wang

ICRA 2021poster

Monitoring the state of contact is essential for robotic devices, especially grippers that implement geckoinspired adhesives where intimate contact is crucial for a firm attachment. However, due to the lack of deformable sensors, few have demonstrated tactile sensing for gecko grippers. We present V…

Cited by 20 Source ↗Scholar ↗