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A review of robotic grasp detection technology

Published online by Cambridge University Press:  22 September 2023

Minglun Dong Open the ORCID record for Minglun Dong [Opens in a new window]  and
Jian Zhang
Minglun Dong*
Affiliation:
School of Mechanical Engineering, Tongji University, Shanghai, China
Jian Zhang
Affiliation:
School of Mechanical Engineering, Tongji University, Shanghai, China
*
Corresponding author: Minglun Dong; Email: 364044341@qq.com
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Abstract

In order to complete many complex operations and attain more general-purpose utility, robotic grasp is a necessary skill to master. As the most common essential action of robots in factory and daily life environments, robotic autonomous grasping has a wide range of application prospects and has received much attention from researchers in the past decade. However, the accurate grasp of arbitrary objects in unstructured environments is still a research challenge that has not yet been completely overcome. A complete robotic grasp system usually involves three aspects: grasp detection, grasp planning, and control subsystem. As the first step, identifying the location of the object and generating the grasp pose is the premise of successful grasp, which is conducive to planning the subsequent grasp path and the realization of the entire grasp action. Therefore, this paper conducts a literature review focusing on grasp detection technology and concludes two significant aspects: the analytic and data-driven methods. According to the previous grasp experience of the target object, this paper divides the data-driven methods into the grasp of known and unknown objects. Then it describes in detail the typical grasp detection methods and related characteristics of each classification in the grasp of unknown objects. Finally, current research status and potential research directions in this field are discussed to provide some reference for related research.

Keywords

robotic handsgraspingcontrol of robotic systems
Type
Review Article
Information
Robotica , Volume 41 , Issue 12 , December 2023 , pp. 3846 - 3885
Copyright
© The Author(s), 2023. Published by Cambridge University Press

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