Gras** is the process of picking up an object by applying forces and torques at a set of
contacts. Recent advances in deep learning methods have allowed rapid progress in robotic …

Dexterous prosthetic hand is an essential rehabilitation assistant device to improve the life
quality of amputee patients. Despite the continuous emergence of commercial prostheses …

The study of hand-object interaction requires generating viable grasp poses for high-
dimensional multi-finger models, often relying on analytic grasp synthesis which tends to …

Generating dexterous gras** has been a long-standing and challenging robotic task.
Despite recent progress, existing methods primarily suffer from two issues. First, most prior …

Robotic dexterous gras** is the first step to enable human-like dexterous object
manipulation and thus a crucial robotic technology. However, dexterous gras** is much …

Gras** with anthropomorphic robotic hands involves much more hand-object interactions
compared to parallel-jaw grippers. Modeling hand-object interactions is essential to the …

This article investigates the challenge of enabling multifinger hands to perform human-like
functional gras** for various intentions. However, accomplishing functional gras** in …

Dexterous gras** aims to produce diverse gras** postures with a high gras**
success rate. Regression-based methods that directly predict gras** parameters given the …

Estimating and synthesizing the hand's manipulation of objects is central to understanding
human behaviour. To accurately model the interaction between the hand and object …

Recent advances in multi-fingered robotic gras** have enabled fast 6-Degrees-of-
Freedom (DOF) single object gras**. Multi-finger gras** in cluttered scenes, on the …