摘要
由一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器人的新研究是一份报告的主旨。根据NewsRx编辑在上海的新闻报道，研究表明：“针对温室内移动授粉机器人授粉顺序规划问题，提出了一种冗余协同控制(RCC)策略。首先，RCC St Rategy根据花朵分布情况，将机器人工作空间划分为子空间。”我们的新闻记者从复旦大学的研究中获得了一句话："随后，RCC策略在这些子空间的视觉域内规划旅行商问题，寻求最优PAT H的折衷解决方案。最后，RCC策略利用了移动机器人底盘和机械臂的冗余运动能力来完成授粉任务,利用了农业机器人移动平台和末端执行器的冗余度,仔细平衡了计算复杂度和路径质量,设计了一系列实验,验证了RCC策略的有效性。结果表明，RCC策略平均每花授粉7.5s，比最常见的间歇策略提高36.4%。
Abstract
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.”
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