Robotics & Machine Learning Daily News2024,Issue(Nov.11) :55-56.

Data from School of Control Science and Engineering AdvanceKnowledge in Robotic Systems (Deep reinforcement learning basedonline lifting path planning for tow er cranes in unknown dynamic environments)

来自控制科学与工程推进学院的数据机器人系统知识(基于深度强化学习的未知动态环境下拖车起重机在线提升路径规划

Robotics & Machine Learning Daily News2024,Issue(Nov.11) :55-56.

Data from School of Control Science and Engineering AdvanceKnowledge in Robotic Systems (Deep reinforcement learning basedonline lifting path planning for tow er cranes in unknown dynamic environments)

来自控制科学与工程推进学院的数据机器人系统知识(基于深度强化学习的未知动态环境下拖车起重机在线提升路径规划

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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-一项关于机器人系统的新研究现在可用。根据新闻报道《中华人民共和国山东日报》编辑的研究报告指出,“提升路径规划是一种可行的方法。”对于塔式起重机在动态施工环境中的安全和效率至关重要。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on robotic systems is now available. According to news reporting outof Shandong, People’s Republic of Chi na, by NewsRx editors, research stated, “Lifting path planning iscritical for t he safety and efficiency of tower cranes operating in dynamic construction envir onments.”

Key words

School of Control Science and Engineerin g/Shandong/People’sRepublic of China/Asia/Emerging Technologies/Machine Le arning/Reinforcement Learning/Robotic Systems/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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