New Robotics Study Findings Reported from Shanghai University (A Multi-objective Teaching-learning-based Optimizer for a Cooperative Task Allocation Problem of Weeding Robots and Spraying Drones)
New Robotics Study Findings Reported from Shanghai University (A Multi-objective Teaching-learning-based Optimizer for a Cooperative Task Allocation Problem of Weeding Robots and Spraying Drones)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news reporting originating from Shanghai, People’s Republic of C hina, by NewsRx correspondents, research stated, “In recent years, both intellig ent robots and drones have been widely used in agriculture. This paper studies a cooperative task allocation problem of weeding robots and spraying drones (WRSD CTA) with two objectives of minimizing the maximum completion time and minimizing the total residual herbicide.”
Key words
Shanghai/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Shanghai University
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