Robotics & Machine Learning Daily News2024,Issue(Jul.2) :114-114.

New Findings from Tongji University in the Area of Robotics and Automation Descr ibed (Learning Cross Dimension Scene Representation for Interactive Navigation A gents In Obstacle-cluttered Environments)

同济大学在机器人和自动化领域的新发现描述(障碍杂波环境下交互式导航的跨维场景表示学习)

Robotics & Machine Learning Daily News2024,Issue(Jul.2) :114-114.

New Findings from Tongji University in the Area of Robotics and Automation Descr ibed (Learning Cross Dimension Scene Representation for Interactive Navigation A gents In Obstacle-cluttered Environments)

同济大学在机器人和自动化领域的新发现描述(障碍杂波环境下交互式导航的跨维场景表示学习)

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摘要

由一名新闻记者-机器人和机器学习的工作人员新闻编辑每日新闻-机器人和自动化的最新数据在一份新的报告中呈现。根据NewsRx记者从中华人民共和国沙海发来的消息,研究表明:“人体视觉导航已经取得了重大进展。然而,大多数研究通常假设环境是静态的,至少包含一条无碰撞路径。”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 – Fresh data on Robotics - Robotics and Automation are presented in a new report. According to news originating from Sha nghai, People’s Republic of China, by NewsRx correspondents, research stated, “E mbodied visual navigation has witnessed significant advancements. However, most studies commonly assume that environments are static and contain at least one co llision-free path.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Shanghai/People's Republic of China/As ia/Robotics and Automation/Robotics/Tongji University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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