一种植物保护机器人的多目标路径优化方法,基于改进的A*-IWOA
Jing Niu1, Chuanyan Shen1, Lipeng Zhang2
1School of Mechatronics and Automotive Engineering, Tianshui Normal University, Tianshui, China.
PeerJ. Computer science
|February 3, 2025
概括
本研究介绍了山区植物保护机器人的优化路径规划算法,大大降低了能源消耗,提高了扩展自主操作的效率.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 农业工程 农业工程
背景情况:
- 植物保护机器人越来越多地被采用,将智能技术与农业机械相结合.
- 电池容量有限和重量限制限制了机器人的自主性和连续运行时间.
- 有效的路径规划对于机器人在山区等具有挑战性的地形上运行至关重要.
研究的目的:
- 为植物保护机器人在山区环境中开发一个多目标路径优化方法.
- 为了应对低能耗的挑战,并提高路径规划效率.
- 为了使机器人能够在长时间内连续执行任务,尽管能量有限.
主要方法:
- 使用动力学和动态模型,为斜坡上的机器人开发了能源消耗模型.
- 实施了改进的A*算法,具有8域对角搜索和新的成本函数.
- 利用改进的鱼优化算法 (A*-IWOA) 来优化路径曲率和能源消耗.
- 在模拟和果园场景中使用2.5D高度网格地图进行路径规划.
主要成果:
- 拟议的A*-IWOA算法显著减少了行程距离,并提高了路线规划效率.
- 这种方法满足了山区机器人的驾驶精度和能源消耗要求.
- 在计算精度,融合速度和整体效率方面取得了实质性的改进.
结论:
- 优化的路径规划算法提高了机器人在复杂的山地地形中的效率和准确性.
- 该方法满足自主运行的严格的能源消耗和路径规划需求.
- 这种方法在其他机器人领域有潜在的应用,包括采摘和工业检查.
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