The autonomous manipulation of objects by robotic grippers has made significant strides in
enhancing both human daily life and various industries. Within a brief span, a multitude of …

The intricate kinematics of the human hand enable simultaneous grasping and manipulation
of multiple objects, essential for tasks, such as object transfer and in-hand manipulation …

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

Efficiently picking up multiple objects is an emergent challenge for soft robotics. Our work
focused on a novel gripper in picking up multiple objects in one grasping trial. The objects …

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 …

Recently, robots have seen rapidly increasing use in homes and warehouses to declutter by
collecting objects from a planar surface and placing them into a container. While current …

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 …

Picking up multiple objects at once is a grasping skill that makes a human worker efficient in
many domains. This paper presents a system to pick a requested number of objects by only …

Multiple-suction-cup grasping can improve the efficiency of bin picking in cluttered scenes.
In this paper, we propose a grasp planner for a vacuum gripper to use multiple suction cups …