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 …

The motivation behind our work is to review and analyze the most relevant studies on deep
reinforcement learning-based object manipulation. Various studies are examined through a …

Machine vision-based planar grasping detection is challenging due to uncertainty about
object shape, pose, size, etc. Previous methods mostly focus on predicting discrete gripper …

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

Grasping has long been considered an important and practical task in robotic manipulation.
Yet achieving robust and efficient grasps of diverse objects is challenging, since it involves …

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

Robotic manipulation refers to how robots intelligently interact with the objects in their
surroundings, such as grasping and carrying an object from one place to another. Dexterous …

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

While there exists many methods for manipulating rigid objects with parallel-jaw grippers,
grasping with multi-finger robotic hands remains a quite unexplored research topic …

This paper provides a comprehensive survey on the current state of prosthetic robotic arm;
focusing on grasping strategy, sensing technologies, and control system. Numerous studies …