Mengde Li

RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation

Humanoid robots exhibit significant potential in executing diverse human-level skills. However, current research predominantly relies on data-driven approaches that necessitate extensive training datasets to achieve robust multimodal decision-making capabilities and generalizable visuomotor control.

When Attention Betrays: Erasing Backdoor Attacks in Robotic Policies by Reconstructing Visual Tokens

Design and Fabrication of a Novel Miniature Magnetic Gripper

Small-scale robots hold significant promise in the field of minimally invasive surgery (MIS). In this paper, we present a miniature magnetic gripper and develop a data-driven kinematic model. The gripper comprises four fingers, wherein each finger has a maximum size not exceeding 3mm, 4mm and 5.5mm…