This paper presents a comprehensive survey on vision-based robotic grasping. We
conclude three key tasks during vision-based robotic grasping, which are object localization …

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 …

Grasp detection in clutter requires the robot to reason about the 3D scene from incomplete
and noisy perception. In this work, we draw insight that 3D reconstruction and grasp learning …

This overview presents computational algorithms for generating 3D object grasps with
autonomous multi-fingered robotic hands. Robotic grasping has been an active research …

A robotic grasping simulator, called Graspit!, is presented as versatile tool for the grasping
community. The focus of the grasp analysis has been on force-closure grasps, which are …

Automatic grasp planning for robotic hands is a difficult problem because of the huge
number of possible hand configurations. However, humans simplify the problem by …

With the development of cloud computing, big data, and other emerging technologies, the
integration of cloud technology and multi-robot systems makes it possible to design multi …

Robot manipulation, for example, pick-and-place manipulation, is broadly used for intelligent
manufacturing with industrial robots, ocean engineering with underwater robots, service …

Learning robotic grasps from visual observations is a promising yet challenging task. Recent
research shows its great potential by preparing and learning from large-scale synthetic …

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 …