Robotics & Machine Learning Daily News2024,Issue(Jun.4) :109-109.

Research Conducted at Tsinghua University Has Provided New Information about Rob otics and Automation (Heterogeneous Embodied Multi-agent Collaboration)

清华大学进行的研究提供了有关Rob otics和自动化(异构实体化多agent协作)的新信息

Robotics & Machine Learning Daily News2024,Issue(Jun.4) :109-109.

Research Conducted at Tsinghua University Has Provided New Information about Rob otics and Automation (Heterogeneous Embodied Multi-agent Collaboration)

清华大学进行的研究提供了有关Rob otics和自动化(异构实体化多agent协作)的新信息

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-一项关于机器人的新研究-机器人和自动化现在可用。根据NewsRx记者从北京发回的新闻报道,研究表明:“室内视觉环境下的多智能体具体性任务已经得到了研究,但现有的研究大多集中在同构的多智能体任务上,异构的多智能体任务在现实场景中是常见的,不同能力的异构智能体之间的协作速度是一个具有挑战性和亟待解决的重要问题。”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 – A new study on Robotics - Robotics and Automation is now available. According to news reporting originating from Beiji ng, People’s Republic of China, by NewsRx correspondents, research stated, “Mult i-agent embodied tasks have been studied in indoor visual environments, but most of the existing research focuses on homogeneous multi-agent tasks. Heterogeneou s multi-agent tasks are common in realworld scenarios, and the collaboration st rategy among heterogeneous agents with different capabilities is a challenging a nd important problem to be solved.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Beijing/People’s Republic of China/Asi a/Robotics and Automation/Robotics/Tsinghua University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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