Robotics & Machine Learning Daily News2024,Issue(Jul.1) :129-130.

New Robotics Data Have Been Reported by Investigators at National University of Defense Technology (An Improved Artificial Electric Field Algorithm for Robot Pa th Planning)

国防科技大学的研究人员报告了新的机器人数据(一种改进的机器人路径规划人工电场算法)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :129-130.

New Robotics Data Have Been Reported by Investigators at National University of Defense Technology (An Improved Artificial Electric Field Algorithm for Robot Pa th Planning)

国防科技大学的研究人员报告了新的机器人数据(一种改进的机器人路径规划人工电场算法)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑-调查人员讨论机器人学的新发现。根据NewsRx记者在长沙的新闻报道,研究表明:“有效提高人工电场算法(AEFA)的优化性能,拓宽其应用领域,有助于在三维复杂场景中提供机器人路径规划,有效地提出了改进的人工电场算法(I-AEFA),并创造性地将其应用于机器人路径规划中。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Robotics. A ccording to news reporting from Changsha, People’s Republic of China, by NewsRx journalists, research stated, “Effectively improving the optimization performanc e of artificial electric field algorithm (AEFA) and broadening its application d omain can aid in providing robot path planning in 3-D complex scenes. This artic le effectively proposes an improved AEFA (I-AEFA) and creatively applies it to r obot path planning.”

Key words

Changsha/People's Republic of China/As ia/Algorithms/Emerging Technologies/Machine Learning/Robot/Robotics/Nation al University of Defense Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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