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 …

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

This paper presents a comprehensive review of ground agricultural robotic systems and
applications with special focus on harvesting that span research and commercial products …

Planning realizable and stable grasps on 3D objects is crucial for many robotics
applications, but grasp planners often ignore the relative sizes of the robotic hand and the …

Learning diverse dexterous manipulation behaviors with assorted objects remains an open
grand challenge. While policy learning methods offer a powerful avenue to attack this …

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 …

Thinking about intelligent robots involves consideration of how such systems can be
enabled to perceive, interpret and act in arbitrary and dynamic environments. While sensor …

This article develops model-based grasp planning algorithms. It focuses on industrial end-
effectors like grippers and suction cups, and plans grasp configurations considering …

Precision grasp synthesis has received a lot of attention in past few last years. However, real
mechanical hands can hardly assure that the fingers will precisely touch the object at the …

The robotic grasping task persists as a modern industry problem that seeks autonomous,
fast implementation, and efficient techniques. Domestic robots are also a reality demanding …