首页|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)
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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.”
ShanghaiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRoboticsShanghai University
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