Iterative learning procedure with reinforcement for high-accuracy force tracking in robotized tasks

HIGHLIGHTS

• who: Loris Roveda and colleagues from the (UNIVERSITY) have published the research: Iterative Learning Procedure with Reinforcement for High-Accuracy Force Tracking in Robotized Tasks, in the Journal: (JOURNAL)
• what: -The paper focuses on industrial interaction robotics tasks investigating a control approach involving multiples learning levels for training the manipulator to execute a repetitive (partially) changeable task accurately controlling the interaction. Following the approach described, the main idea of this paper is to combine iterative learning controllers with the reinforcement learning procedures. The aim of the method is to define a friction parameter learning procedure . . .
  

   

  

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