Robotics & Machine Learning Daily News2024,Issue(Dec.5) :114-115.

Reports Outline Robotics Study Findings from Inha University (Bayesian Reinforce ment Learning for Adaptive Balancing in an Assembly Line With Human-Robot Collab oration)

报告概述了Inha大学机器人学研究结果(贝叶斯强化学习,用于人-机器人协作的装配线中的自适应平衡)

Robotics & Machine Learning Daily News2024,Issue(Dec.5) :114-115.

Reports Outline Robotics Study Findings from Inha University (Bayesian Reinforce ment Learning for Adaptive Balancing in an Assembly Line With Human-Robot Collab oration)

报告概述了Inha大学机器人学研究结果(贝叶斯强化学习,用于人-机器人协作的装配线中的自适应平衡)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器人的研究发现在一份新的报告中被使用。据新闻报道NewsRx编辑从韩国仁川报道,研究称,"强化学习(RL)"近年来被广泛应用于开发与人类协作的智能机器人agent工人。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on robotics are disc ussed in a new report. According to newsreporting out of Incheon, South Korea, by NewsRx editors, research stated, “Reinforcement learning (RL)has been freque ntly used in recent years to develop intelligent robot agents that collaborate w ith humanworkers.”

Key words

Inha University/Incheon/South Korea/A sia/Emerging Technologies/Machine Learning/Reinforcement Learning/Robot/Rob otics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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