Pokuang Zhou — accepted AI-conference papers

2024

In-Hand Singulation and Scooping Manipulation with a 5 DOF Tactile Gripper

Yuhao Zhou, Pokuang Zhou, Shaoxiong Wang, Yu She

IROS 2024poster

Manipulation tasks often require a high degree of dexterity, typically necessitating grippers with multiple degrees of freedom (DoF). While a robotic hand equipped with multiple fingers can execute precise and intricate manipulation tasks, the inherent redundancy stemming from its extensive DoF ofte…

Cited by 4 Source ↗Scholar ↗

2024

Stick Roller: Precise In-hand Stick Rolling with a Sample-Efficient Tactile Model

Yipai Du, Pokuang Zhou, Michael Yu Wang, Wenzhao Lian, Yu She

IROS 2024poster

In-hand manipulation is challenging in robotics due to the intricate contact dynamics and high degrees of control freedom. Precise manipulation with high accuracy often requires tactile perception, which adds further complexity to the system. Despite the challenges in perception and control, the rol…

Cited by 1 Source ↗code ↗Scholar ↗