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番茄机器人收获臂的结构参数优化:考虑无碰撞操作要求
Chuanlang Peng1,2,3, Qingchun Feng1,2,3, Zhengwei Guo2,3
1College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China.
Plants (Basel, Switzerland)
|November 27, 2024
概括
这项研究优化了7度自由度 (DOF) 的机器人手臂,用于避开障碍的番茄收获. 新的设计确保了紧的配置和在混乱的环境中高效的采摘.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 农业工程 农业工程
- 机械设计 机械设计
背景情况:
- 目前的机器人收获武器在狭小空间内避开障碍物方面存在局限性.
- 在复杂的农业环境中,标准产品设计阻碍了有效的番茄采摘.
研究的目的:
- 为7自由度 (DOF) 机器人手臂提出几何参数优化方法.
- 为了增强避障能力,在各种姿势下采摘番茄束.
- 为了实现更紧的手臂配置,同时保持工作空间的可达性.
主要方法:
- 用7DOF机器人手臂的几何参数优化方法.
- 分析了番茄束,主干和脚的空间分布,以确定最佳的终端效应器姿势.
- 使用非主导排序基因算法II (NSGA-II) 进行多目标优化.
- 通过使用工作空间穿越和Denavit-Hartenberg (D-H) 建模的虚拟实验验验证结果.
主要成果:
- 优化的机器人手臂结构实现了紧的配置.
- 根据无碰撞收获标准,在工作空间内证明了92.88%的可达性.
- 成功量化描述了避障工作空间.
结论:
- 拟议的优化方法有效地提高了机器人手臂的性能,以避免障碍物收获.
- 优化的紧型设计提高了复杂农业环境中的可访问性和效率.
- 这项研究为优化果蔬收获中的机器人手臂提供了宝贵的参考.
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