Vision-Based Reinforcement Learning for Robotic Grasping of Moving Objects on a Conveyor

This study introduces an autonomous framework for grasping moving objects on a conveyor belt, enabling unsupervised detection, grasping, and categorization. The work focuses on two common object shapes—cylindrical cans and rectangular cartons—transported at a constant speed of 3–7 cm/s on the convey...

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Bibliografski detalji

Glavni autori:	Yin Cao, Xuemei Xu, Yazheng Zhang
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-10-01
Serija:	Machines
Teme:	deep reinforcement learning object detection robotic object grasping robot vision RGB-D sensors
Online pristup:	https://www.mdpi.com/2075-1702/13/10/973
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