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
Concrete Defect Localization Based on Multilevel Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2024 at "Materials"
DOI: 10.3390/ma17153685
Abstract: Concrete structures frequently manifest diverse defects throughout their manufacturing and usage processes due to factors such as design, construction, environmental conditions and distress mechanisms. In this paper, a multilevel convolutional neural network (CNN) combined with… read more here.
Keywords: convolutional neural; cnn; localization; multilevel convolutional ... See more keywords