A review: machine learning on robotic grasping

Youhao Li; Qujiang Lei; ChaoPeng Cheng; Gong Zhang; Weijun Wang; Zheng Xu

doi:10.1117/12.2522945

15 March 2019 A review: machine learning on robotic grasping

Youhao Li, Qujiang Lei, ChaoPeng Cheng, Gong Zhang, Weijun Wang, Zheng Xu

Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 110412U (2019) https://doi.org/10.1117/12.2522945
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany

Abstract

Machine learning has made breakthroughs in areas such as computer vision and natural language processing. In recent years, more and more research has been done on the application of machine learning on robotic grasping. This article summarizes the research progress of machine learning on robotic grasping, from the aspects of object grasping datasets, two main categories of methods that differ from the criteria for successful grasping with deep learning or reinforcement learning algorithm, discusses what current researches have done and the problems that have not yet been solved, and hopes to inspire new ideas in research of robotic grasping based on machine learning.

Citation Download Citation

Youhao Li, Qujiang Lei, ChaoPeng Cheng, Gong Zhang, Weijun Wang, and Zheng Xu "A review: machine learning on robotic grasping", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110412U (15 March 2019); https://doi.org/10.1117/12.2522945

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