Grasping 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 manipulation, especially dexterous grasping, is a primitive and crucial ability of
robots that allows the implementation of performing human-like behaviors. Deploying the …

Robotic Grasping has always been an active topic in robotics since grasping is one of the
fundamental but most challenging skills of robots. It demands the coordination of robotic …

Nowadays robots play an increasingly important role in our daily life. In human-centered
environments, robots often encounter piles of objects, packed items, or isolated objects …

Industrial Cyber Physical Systems can use data and information gained from across a
variety of different environments to enable robots that are reconfigurable. Custom grasping …

This paper presents a novel method for model-free prediction of grasp poses for suction
grippers with multiple suction cups. Our approach is agnostic to the design of the gripper …

Humans learn to recognize and manipulate new objects in lifelong settings without forgetting
the previously gained knowledge under non-stationary and sequential conditions. In …

Existing grasp prediction approaches are mostly based on offline learning, while, ignoring
the exploratory grasp learning during online adaptation to new picking scenarios, ie, objects …

The robotic pick-and-place system is applied widely in many fields such as assembly,
packaging, bin-picking, and sorting. In this paper, we present a deep learning and analytical …

In this thesis, we make a bridge from the past to the future by using artificial-intelligence
methods for text recognition in a historical Dutch collection of the Natuurkundige Commissie …