The correct grasp of objects is a key aspect for the right fulfillment of a given task. Obtaining
a good grasp requires algorithms to automatically determine proper contact points on the …

Designing robust end-effector plays a crucial role in performance of a robot workcell. Design
automation of industrial grippers' fingers/jaws is therefore of the highest interest in the robot …

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

Medical surgical robot is a fusion of medical image information matching fusion technology
and robotic trajectory control technology. The medical image information matching fusion is …

We present an end-to-end algorithm for training deep neural networks to grasp novel
objects. Our algorithm builds all the essential components of a grasping system using a …

We present a learning-based method for representing grasp poses of a high-DOF hand
using neural networks. Due to redundancy in such high-DOF grippers, there exists a large …

Intelligent robotic manipulation is a challenging study of machine intelligence. Although
many dexterous robotic hands have been designed to assist or replace human hands in …

With the rapid growth in virtual reality technologies, object interaction is becoming
increasingly more immersive, elucidating human perception and leading to promising …

Symmetry is ubiquitous in everyday objects. Humans tend to grasp objects by recognizing
the symmetric regions. In this letter, we investigate how symmetry could boost robotic grasp …

This paper investigates theoretical properties of a well-known L 1 grasp quality measure Q
whose approximation Q− l is commonly used for the evaluation of grasps and where the …