Researchers’ from Kobe University Report Details of New Studies and Findings in the Area of Robotics (Narrow-Route Path Planning for Mobile Robots Using Deep De terministic Policy Gradient Considering Turning Radius Limit)

神户大学的研究人员报告了机器人领域的新研究和发现的细节（考虑转弯半径限制的深度决策梯度移动机器人窄路径规划）

Robotics & Machine Learning Daily News2024，Issue(Dec.6) ：119-119.

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Researchers’ from Kobe University Report Details of New Studies and Findings in the Area of Robotics (Narrow-Route Path Planning for Mobile Robots Using Deep De terministic Policy Gradient Considering Turning Radius Limit)

神户大学的研究人员报告了机器人领域的新研究和发现的细节（考虑转弯半径限制的深度决策梯度移动机器人窄路径规划）

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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。据神户的新闻报道，日本，NewsRx记者，Research说：“本文提出了一个窄路径规划，用于交通运输。”采用深度确定性策略梯度(DDPG)考虑驱动系统的移动抢劫ot。在这份报纸上，狭窄道路定义为具有非完整约束的移动机器人不能移动的空间不执行转弯。

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 from Kobe,Japan, by NewsRx journalists, res earch stated, “This paper proposes a narrow-route path planning for amobile rob ot using deep deterministic policy gradient (DDPG) considering a drive system. I n this paper,a narrow road is defined as a space in which a mobile robot with a non-holonomic constraint cannot movewithout performing turnabouts.”

Key words

Kobe University/Kobe/Japan/Asia/Emer ging Technologies/Machine Learning/Nano-robot/Robot/Robotics

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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