Robotics & Machine Learning Daily News2024,Issue(Jun.19) :69-70.

Reports Outline Robotics Study Findings from Ningbo University (A Spatiotemporal Graphical Attention Navigation Algorithm Based On Limited State Information)

宁波大学机器人研究成果概要(基于有限状态信息的时空图形注意导航算法)

Robotics & Machine Learning Daily News2024,Issue(Jun.19) :69-70.

Reports Outline Robotics Study Findings from Ningbo University (A Spatiotemporal Graphical Attention Navigation Algorithm Based On Limited State Information)

宁波大学机器人研究成果概要(基于有限状态信息的时空图形注意导航算法)

扫码查看

摘要

由新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器人的新报告。根据NewsRx公司在宁波发布的消息,研究表明:“机器人在高密度、动态人群中安全高效地导航是一项具有挑战性的任务,现有的导航算法大多需要随时获取邻近人类的全部动态,这使得它们严重依赖于复杂的高层信息状态估计过程。”本研究的资助单位包括浙江省自然科学基金、宁波市科技计划项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on Robotics. Acc ording to news originating from Ningbo, People's Republic of China, by NewsRx co rrespondents, research stated, "Safe and efficient navigation of a robot in a hi gh-density and dynamic crowd is a challenging task. Most of existing navigation algorithms need to acquire the full dynamics of neighboring humans at all times, making them heavily dependent on a complex upper level information state estima tion process." Funders for this research include Natural Science Foundation of Zhejiang Provinc e, Ningbo Science Technology Plan projects of China.

Key words

Ningbo/People's Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Reinforcement Learning/R obot/Robotics/Ningbo University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文