Applications and Challenges of Machine Learning in Picking Robots
The development of technology has propelled machine learning to become the core technology in auto-mation and intelligent systems.The widespread application of machine learning in agricultural picking robots high-lights its huge potential for developement and the challenges it faces.In this paper,the current state of machine learning applications in picking robots is summarized,the challenges encountered are discussed,and future develop-ment trends are predicted.The practical applications of machine learning in visual recognition,decision-making processes,and adaptive learning are discussed in detail,providing theoretical foundations and operational guidelines for the further optimization and innovation of picking robots.
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