Bayesian Reinforcement Learning for Adaptive Balancing in an Assembly Line With Human-Robot Collaboration

Bayesian Reinforcement Learning for Adaptive Balancing in an Assembly Line With Human-Robot Collaboration

Reinforcement learning (RL) has been frequently used in recent years to develop intelligent robot agents that collaborate with human workers. In human-robot collaboration (HRC), the adaptation ability of automated robots is critical for efficient collaboration. However, previous studies using RL for...

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Bibliographic Details
Main Authors: Hyun-Rok Lee, Sanghyun Park, Jimin Lee
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Human-robot collaboration
reinforcement learning
assembly line balancing
hidden-parameter Markov decision processes
Bayesian inference
Online Access:https://ieeexplore.ieee.org/document/10756596/
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