Survey of the key technologies of manipulator target grasping

Jiyuan Huang; Min Li; Bingbing Xie; Yutong Fu; Sizhe Xiao

doi:10.1117/12.2684734

21 July 2023 Survey of the key technologies of manipulator target grasping

Jiyuan Huang, Min Li, Bingbing Xie, Yutong Fu, Sizhe Xiao

Proceedings Volume 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023); 127170V (2023) https://doi.org/10.1117/12.2684734
Event: 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 2023, Wuhan, China

Abstract

At present, the object grasping system of robot based on vision is one of the research hotspots, and it has a broad application prospect in industry, especially in the part of sorting. The key technologies of this system include robot hand-eye calibration, grasping target detection, grasping path planning, etc. This paper provides an overview about the current status of these key technologies by collating relevant literature, including the four kinds of hand-eye calibration methods, deep learning based grasping target detection algorithms, and the advantages and disadvantages of three kinds of grasping path planning methods. In this paper, the key technologies of vision-based robot object grasping system are summarized and prospected, which can be helpful to researchers in related fields.

Citation Download Citation

Jiyuan Huang, Min Li, Bingbing Xie, Yutong Fu, and Sizhe Xiao "Survey of the key technologies of manipulator target grasping", Proc. SPIE 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 127170V (21 July 2023); https://doi.org/10.1117/12.2684734

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