Robotics & Machine Learning Daily News2024,Issue(Aug.1) :12-13.

Reports Outline Robotics Study Results from Xidian University (Hms-rrt: a Novel Hybrid Multi-strategy Rapidly-exploring Random Tree Algorithm for Multi-robot Co llaborative Exploration In Unknown Environments)

Robotics & Machine Learning Daily News2024,Issue(Aug.1) :12-13.

Reports Outline Robotics Study Results from Xidian University (Hms-rrt: a Novel Hybrid Multi-strategy Rapidly-exploring Random Tree Algorithm for Multi-robot Co llaborative Exploration In Unknown Environments)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Robotics is the subject of a repo rt. According to news reporting originatingfrom Xi’an, People’s Republic of Chi na, by NewsRx correspondents, research stated, “In this paper, weproposed a nov el multi-robot collaborative exploration method to improve the efficiency and ro bustnessof multi-robot exploration in unknown environments. Firstly, a novel fr ontier detection algorithm basedon hybrid multi-strategy rapidly-exploring rand om tree (HMS-RRT) is proposed, which is composed of anadaptive incremental dist ance strategy, a subregion sampling strategy and a greedy frontier-based exploration strategy.”

Key words

Xi’an/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Robot/Robotics/Xidian Un iversity

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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