Robotics & Machine Learning Daily News2024,Issue(Dec.6) :148-149.

Researchers from University Sains Malaysia Report on Findings in Robotics (Doubl e Critics and Double Actors Deep Deterministic Policy Gradient for Mobile Robot Navigation Using Adaptive Parameter Space Noise and Parallel Experience Replay)

马来西亚Sains大学的研究人员报告了机器人学的发现(双重批评和双行为者深度确定性策略梯度用于移动机器人导航的自适应参数空间噪声和并行经验回放)

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :148-149.

Researchers from University Sains Malaysia Report on Findings in Robotics (Doubl e Critics and Double Actors Deep Deterministic Policy Gradient for Mobile Robot Navigation Using Adaptive Parameter Space Noise and Parallel Experience Replay)

马来西亚Sains大学的研究人员报告了机器人学的发现(双重批评和双行为者深度确定性策略梯度用于移动机器人导航的自适应参数空间噪声和并行经验回放)

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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新闻-研究人员详细介绍了机器人学的新数据。根据马来西亚尼邦提巴尔的新闻报道,NewsRx新闻记者的研究表明:“近年来,移动机器人被越来越多地用于各种行业,如制造业、物流、医疗保健和安全服务。有效的移动机器人自主导航避碰成为高效执行任务的关键这些不同应用程序中的任务。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Researchers detail new data in robotics. Accordin g to news reporting from Nibong Tebal, Malaysia,by NewsRx journalists, research stated, “In recent years, mobile robots have been increasingly used in avariet y of industries, such as manufacturing, logistics, health care, and security ser vices. Effectiveautonomous navigation preventing collisions for mobile robots h as become crucial for efficiently performingtasks in these diverse applications .”

Key words

University Sains Malaysia/Nibong Tebal/Malaysia/Algorithms/Cybersecurity/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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