Robotics & Machine Learning Daily News2024,Issue(Jul.22) :38-39.

Research Conducted at North China University of Technology Has Updated Our Knowl edge about Robotics (Multi-robot Collaborative Hunting In Cluttered Environments With Obstacle-avoiding Voronoi Cells)

Robotics & Machine Learning Daily News2024,Issue(Jul.22) :38-39.

Research Conducted at North China University of Technology Has Updated Our Knowl edge about Robotics (Multi-robot Collaborative Hunting In Cluttered Environments With Obstacle-avoiding Voronoi Cells)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Robotics have been published. According to news reportingout of Beijing, People’s Republic o f China, by NewsRx editors, research stated, “This work proposes anonline colla borative hunting strategy for multi-robot systems based on obstacle-avoiding Vor onoi cells ina complex dynamic environment. This involves firstly designing the construction method using a supportvector machine (SVM) based on the definitio n of buffered V oronoi cells (Bv’Cs), Based on the safecollision-free region of the robots, the boundary weights between the robots and the obstacles are dynamically updated such that the robots are tangent to the buffered Voronoi safety a reas without intersectingwith the obstacles.”

Key words

Beijing/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/North C hina University of Technology

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