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High-Performance Pixel-Level Grasp Detection Based on Adaptive Grasping and Grasp-Aware Network
IEEE Transactions on Industrial Electronics, 2022Machine vision based planar grasping detection is challenging due to uncertainty about object shape, pose, size, etc. Previous methods mostly focus on predicting discrete gripper configurations, and may miss some ground-truth grasp postures. In this paper, a pixel-level grasp detection method is proposed, which uses deep neural network to predict pixel-
Dexin Wang +4 more
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2022
Automation is being integrated into a wider range of tasks every year as technology increases to allow its development and growth. A machine that is able to capably perform more than one task or be able to adapt to unknown circumstances is more beneficial than a machine that cannot. This project investigates the capabilities of low cost tactile sensors
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Automation is being integrated into a wider range of tasks every year as technology increases to allow its development and growth. A machine that is able to capably perform more than one task or be able to adapt to unknown circumstances is more beneficial than a machine that cannot. This project investigates the capabilities of low cost tactile sensors
openaire +1 more source
Adaptive Grasping: Machine Learning Applied to Planning of Power Grasps
Robotics 2000, 2000Robots used for tasks in hazardous environments frequency must cope with environmental uncertainty. The objects which must be manipulated are not well known in advance. Multifingered dexterous grippers are useful for grasping objects in uncertain environments.
Gregory P. Starr, Yanbin Liu
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An adaptive planning framework for dexterous robotic grasping with grasp type detection
Robotics and Autonomous Systems, 2021Abstract Dexterous grasping is one of the most fundamental abilities of robots to implement various manipulation tasks. Robots should have the same ability as humans to plan various grasp types for dexterous grasping. This paper addresses the problem of the adaptability of grasp planning. A novel adaptive grasp planning framework is designed to adapt
Zhen Deng +3 more
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Adapting to monocular vision: grasping with one eye
Experimental Brain Research, 1995The aim of the present study was to determine whether normal subjects with one eye covered and patients in whom one eye had been enucleated generate more head movements than subjects using binocular vision during the performance of a visually guided grasping movement.
J J, Marotta +4 more
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Science Robotics
Rich tactile embodiment enables robotic hands to perform grasping tasks with humanlike adaptability.
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Rich tactile embodiment enables robotic hands to perform grasping tasks with humanlike adaptability.
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High Precision Constrained Grasping with Cooperative Adaptive Handcontrol
Journal of Intelligent and Robotic Systems, 2001This paper suggests an adaptive control scheme which ensures precise asymptotic grasping and manipulation. Despite parametric uncertainty in all system parameters, tracking of position and force errors enforces an impedance relationship, which in turn allows for a smooth manipulation of the constrained object.
Parra-Vega, V. +3 more
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