Machine Learning Approach Enables Robotic Arm to Push and Grasp Tightly Stacked Objects

Only about 6% of players actually win a prize from arcade claw games, where users maneuver a grasping metal claw to attempt to pick up a prize from a tightly packed pile.

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Sydney ,New South Wales ,Australia ,Yuxiang Yang ,Dacheng Tao ,Mingyu Gao ,Automatica Sinica ,Jing Zhang ,Laura Thomsonjan ,School Of Computer Science ,University Of Sydney ,Computer Science ,Tightly Stacked Objects ,Deep Reinforcement Learning ,Impact Factor ,Control Systems ,Journal Citation Reports ,Clarivate Analytics ,Information System ,Systems Engineering ,Artificial Intelligence ,