首页|Reports Outline Robotics Study Findings from Fudan University (A Novel Redundant Cooperative Control Strategy for Robotic Pollination)
Reports Outline Robotics Study Findings from Fudan University (A Novel Redundant Cooperative Control Strategy for Robotic Pollination)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “This paper proposes a novel Redunda nt Cooperative Control (RCC) strategy to address the pollination sequence planni ng problem for a mobile pollination robot in the greenhouse. Firstly, the RCC st rategy divides the robot’s workspace into subspaces based on the distribution of flowers through clustering.” Our news journalists obtained a quote from the research from Fudan University, “ Subsequently, the RCC strategy plans the traveling salesman problem within the v isual field of these subspaces, seeking a compromise solution for an optimal pat h. Finally, the RCC strategy utilizes the redundant motion capabilities of the m obile chassis and robotic arm to accomplish the pollination task during the move ment. The RCC strategy exploits the available redundancy in both the agricultura l robot’s mobile platform and end-effector, carefully balancing computational co mplexity and path quality. To validate the effectiveness of the RCC strategy, we designed a series of experiments conducted on our pollination robot platform, m easuring different strategies. The results demonstrate that the RCC strategy ach ieves an average pollination rate of 7.5 s per flower, representing a 36.4% improvement compared to the most common intermittence strategy.”
ShanghaiPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningRobotRoboticsRobotsFudan Univ ersity
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