This paper surveys recently published literature on tactile sensing in robotic manipulation to
understand effective strategies for using tactile sensing and the issues involved in tactile …

Sensory perception for dexterous robotic hands is an active research area and recent
progress in robotics. Effective dexterous manipulation requires robotic hands to accurately …

In this paper, we propose an end-to-end grasp evaluation model to address the challenging
problem of localizing robot grasp configurations directly from the point cloud. Compared to …

For humans, the process of grasping an object relies heavily on rich tactile feedback. Most
recent robotic grasping work, however, has been based only on visual input, and thus …

Unmanned surface vessels (USVs) are supposed to be able to adapt unstructured
environments by means of multi-sensor active perception without any human interference …

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 …

Robots still cannot perform everyday manipulation tasks, such as grasping, with the same
dexterity as humans do. In order to explore the potential of supervised deep learning for …

In this article, a six-step approach is proposed to simulate the grasp and evaluate the grasp
quality for a versatile vacuum gripper by tracking the deformation and force-torque wrench of …

This paper reports the development of a manipulation system for electric wires, implemented
by means of a commercial gripper installed on an industrial manipulator and equipped with …

In the dynamic and unstructured environment where horticultural crops grow, obstacles and
interference frequently occur but are rarely addressed, which poses significant challenges …