Humans use their dexterous fingers and adaptable palm in various multiobject grasping
strategies to efficiently move multiple objects together in various situations. Advanced …

Embodied learning for object-centric robotic manipulation is a rapidly developing and
challenging area in embodied AI. It is crucial for advancing next-generation intelligent robots …

We consider a decluttering problem where multiple rigid convex polygonal objects rest in
randomly placed positions and orientations on a planar surface and must be efficiently …

In this paper, using a honeycomb-velcro structure to generate a novel jamming gripper is
explored. Each finger of the gripper consists of multi-layers with a honeycomb sandwich …

Efficiently manipulating objects in a group state poses an emerging challenge for soft robot
hands. Overcoming this problem necessitates the development of hands with highly stable …

To maximize the space occupied by unknown objects in a narrow crate and handle
uncertain situations, we propose a novel human-like system-level learning framework …