Design, modeling, and manipulability evaluation of a novel four-DOF parallel gripper for dexterous in-hand manipulation
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-021-0636-7
Abstract: This study presents a novel four-degrees-of-freedom parallel gripper with potential application to industrial automation. The gripper adopts a parallel grasping mode on objects and can independently complete in-plane horizontal and vertical motions and in-hand twisting… read more here.
Keywords: novel four; hand manipulation; manipulability; hand ... See more keywords
Optimal Grasping Strategy for Robots With a Parallel Gripper Based on Feature Sensing of 3D Object Model
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3153071
Abstract: Grasping strategy of many different kinds of target objects is vital in a wide range of automatic robotic manipulations. Among the many potential applications for a robot arm with a parallel gripper, the key challenge… read more here.
Keywords: grasping strategy; optimal grasping; parallel gripper; model ... See more keywords
Robotic Grasping of Unknown Objects Using Novel Multilevel Convolutional Neural Networks: From Parallel Gripper to Dexterous Hand
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2020.3017022
Abstract: To achieve high-accuracy grasping of unknown objects, we present novel multilevel convolutional neural networks (CNNs) for robotic grasping with a parallel gripper or multifingered dexterous hand. The multilevel CNNs include four levels with different structures… read more here.
Keywords: unknown objects; multilevel convolutional; grasping unknown; parallel gripper ... See more keywords