Robotics & Machine Learning Daily News2024,Issue(Jun.27) :122-122.

Reports Outline Robotics Study Results from University of Science and Technology China (Fast Temporal Logic Mission Planning of Multiple Robots: a Planning Deci sion Tree Approach)

中国科技大学机器人研究成果概要(多机器人快速时序逻辑任务规划:规划决策树方法)

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :122-122.

Reports Outline Robotics Study Results from University of Science and Technology China (Fast Temporal Logic Mission Planning of Multiple Robots: a Planning Deci sion Tree Approach)

中国科技大学机器人研究成果概要(多机器人快速时序逻辑任务规划:规划决策树方法)

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摘要

一位新闻记者兼机器人与机器学习的新闻编辑每日新闻-机器人的研究发现被用在一份新的报告中。据NewsRx记者从中国合肥发回的新闻报道,研究人员称:“本文开发了一个快速任务规划框架——规划决策树(PDT),该框架能够实时处理具有时序逻辑规范的大型多机器人系统,具体地说,PDT增量生成一棵树来表示TA SK的进程。”本研究经费来源于国家自然科学基金(NSFC)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are disc ussed in a new report. According to news reporting originating from Hefei, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “This letter d evelops a fast mission planning framework named planning decision tree (PDT), th at can handle large-scale multi-robot systems with temporal logic specifications in real time. Specifically, PDT builds a tree incrementally to represent the ta sk progress.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Hefei/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Universit y of Science and Technology China

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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