Robotics & Machine Learning Daily News2024,Issue(Jun.3) :72-72.

New Findings from Tsinghua University in Intelligent Systems Provides New Insigh ts (Lp-slam: Language-perceptive Rgb-d Slam Framework Exploiting Large Language Model)

清华大学在智能系统方面的新发现提供了新的见解(LP-Slam:利用大型语言模型的语言感知RGB-D Slam框架)

Robotics & Machine Learning Daily News2024,Issue(Jun.3) :72-72.

New Findings from Tsinghua University in Intelligent Systems Provides New Insigh ts (Lp-slam: Language-perceptive Rgb-d Slam Framework Exploiting Large Language Model)

清华大学在智能系统方面的新发现提供了新的见解(LP-Slam:利用大型语言模型的语言感知RGB-D Slam框架)

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摘要

由一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器学习-智能系统的最新研究结果已经发表。据NewsRx记者从中国北京发回的新闻报道,研究表明:“随着深度学习的发展,在同时定位和映射(SLAM)领域可以获得更高的环境感知水平,如语义水平。然而,以前的工作没有达到自然语言水平的感知。”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 – Current study results on Machine Learn ing - Intelligent Systems have been published. According to news originating fro m Beijing, People’s Republic of China, by NewsRx correspondents, research stated , “With the development of deep learning, a higher level of perception of the en vironment such as the semantic level can be achieved in the simultaneous localiz ation and mapping (SLAM) domain. However, previous works did not achieve a natur al-language level of perception.” 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/Intelligent Systems/Machine Learning/Tsinghua University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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