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Fuzzy Logic-Driven Variable Time-Scale Prediction-Based Reinforcement Learning for Robotic Multiple Peg-in-Hole Assembly.

IEEE Transactions on Automation Science and Engineering(2020)

Cited 22|Views77
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Key words
Impedance,Robotic assembly,Task analysis,Force,Fuzzy logic,Robot sensing systems,Fuzzy logic system (FLS),multiple peg-in-hole,prediction learning,reinforcement learning (RL),robotic assembly
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