2023 article

Improving Workers' Musculoskeletal Health During Human-Robot Collaboration Through Reinforcement Learning

Xie, Z., Lu, L., Wang, H., Su, B., Liu, Y., & Xu, X. (2023, May 22). HUMAN FACTORS.

By: Z. Xie n, L. Lu n, H. Wang n, B. Su n, Y. Liu n & X. Xu n

author keywords: robotics; computer-supported collaborations; human-automation interaction; job risk assessment; human-robot interaction
TL;DR: The proposed model-free reinforcement learning method can learn the optimal worker postures without the need for specific biomechanical models and can be applied to improve the occupational safety in robot-implemented factories. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: June 19, 2023

Objective This study aims to improve workers’ postures and thus reduce the risk of musculoskeletal disorders in human-robot collaboration by developing a novel model-free reinforcement learning method.