Robotics & Machine Learning Daily News2024,Issue(MAY.15) :85-85.

Study Findings on Robotics Discussed by Researchers at Shaoguan University (Huma n-Following Strategy for Orchard Mobile Robot Based on the KCF-YOLO Algorithm)

Robotics & Machine Learning Daily News2024,Issue(MAY.15) :85-85.

Study Findings on Robotics Discussed by Researchers at Shaoguan University (Huma n-Following Strategy for Orchard Mobile Robot Based on the KCF-YOLO Algorithm)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on robotics are discussed in a new report. According to news reporting originating from Shaoguan, People’s Repu blic of China, by NewsRx correspondents, research stated, “Autonomous mobile rob ots play a vital role in the mechanized production of orchards, where human-foll owing is a crucial collaborative function. In unstructured orchard environments, obstacles often obscure the path, and personnel may overlap, leading to signifi cant disruptions to human-following.”

Key words

Shaoguan University/Shaoguan/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Ro bot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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