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
Model-Based Grasping of Unknown Objects from a Random Pile
Sign Up to like & getrecommendations! Published in 2019 at "Robotics"
DOI: 10.3390/robotics8030079
Abstract: Grasping an unknown object in a pile is no easy task for a robot—it is often difficult to distinguish different objects; objects occlude one another; object proximity limits the number of feasible grasps available; and… read more here.
Keywords: model based; based grasping; unknown objects; grasping unknown ... See more keywords