Robotics & Machine Learning Daily News2024,Issue(Dec.2) :194-195.

Findings from University of Quebec Reveals New Findings on Robotics (Energy Effi ciency Deep Reinforcement Learning for Urllc In 5g Mission-critical Swarm Roboti cs)

魁北克大学的发现揭示了机器人学的新发现(能量效率深度强化学习,用于5g任务关键型蜂群机器人cs中的Urllc)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :194-195.

Findings from University of Quebec Reveals New Findings on Robotics (Energy Effi ciency Deep Reinforcement Learning for Urllc In 5g Mission-critical Swarm Roboti cs)

魁北克大学的发现揭示了机器人学的新发现(能量效率深度强化学习,用于5g任务关键型蜂群机器人cs中的Urllc)

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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-调查人员发布关于机器人的新报道。根据新闻报道NewsRx记者从加拿大蒙特利尔报道,研究称,“5G网络提供了高速率、超低速率新型ncy和高可靠性连接,支持无线移动机器人,提高了移动机器人的灵活性工厂自动化。本文研究了任务关键型群体机器人控制问题基于网格的自动化仓库场景中的机器人应用。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics. According to news reporting originatingfrom Montreal, Canada, by NewsRx correspondents, research stated, “5G network provides high-rate, ultralowlate ncy, and high-reliability connections in support of wireless mobile robots with increased agility forfactory automation. In this paper, we address the problem of swarm robotics control for mission-criticalrobotic applications in an automa ted grid-based warehouse scenario.”

Key words

Montreal/Canada/North and Central Amer ica/Emerging Technologies/Machine Learning/Nano-robot/Reinforcement Learning/Robotics/University of Quebec

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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