Robotics & Machine Learning Daily News2024,Issue(Sep.19) :53-53.

Hainan University Researchers Add New Findings in the Area of Robotics (Multi-ro bot collision avoidance method in sweet potato fields)

Robotics & Machine Learning Daily News2024,Issue(Sep.19) :53-53.

Hainan University Researchers Add New Findings in the Area of Robotics (Multi-ro bot collision avoidance method in sweet potato fields)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on robotics have been pr esented. According to news originating from Haikou, People’s Republic of China, by NewsRx correspondents, research stated, “Currently, precise spraying of sweet potatoes is mainly accomplished through semi-mechanized or single spraying robo ts, which results in low operating efficiency. Moreover, it is time-consuming an d labor-intensive, and the pests and diseases cannot be eliminated in time.” The news editors obtained a quote from the research from Hainan University: “Bas ed on multi robot navigation technology, multiple robots can work simultaneously , improving work efficiency. One of the main challenges faced by multi robot nav igation technology is to develop a safe and robust collision avoidance strategy, so that each robot can safely and efficiently navigate from its starting positi on to the expected target. In this article, we propose a low-cost multi-robot co llision avoidance method to solve the problem that multiple robots are prone to collision when working in field at the same time. This method has achieved good results in simulation. In particular, our collision avoidance method predicts th e possibility of collision based on the robot’s position and environmental infor mation, and changes the robot’s path in advance, instead of waiting for the robo t to make a collision avoidance decision when it is closer. Finally, we demonstr ate that a multi-robot collision avoidance approach provides an excellent soluti on for safe and effective autonomous navigation of a single robot working in com plex sweet potato fields.”

Key words

Hainan University/Haikou/People’s Repu blic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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