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一种用于操纵器轨迹规划的新型成本计算方法.
Leiyang Fu1,2, Shaowen Li1,2
1School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei 230036, China.
Sensors (Basel, Switzerland)
|July 13, 2024
概括
计算操纵器执行成本对于农业机器人来说至关重要. 本研究引入了使用质量,代和剩余的新型成本函数,优于现有的轨迹规划方法.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 人工智能的人工智能
背景情况:
- 对操纵器的轨迹规划对于机器人应用至关重要,特别是在农业中.
- 现有的方法通常针对时间或距离等单一因素进行优化,忽视了整体方法.
- 德纳维特-哈顿伯格 (D-H) 方法是操纵器动力学的传统方法.
研究的目的:
- 开发和验证一个全面的成本函数来评估操纵器在轨道规划中的努力.
- 将拟议的成本函数与双A*和MoveIt等最先进的方法进行比较.
- 评估使用机器人工具箱用于农业机器人的操纵器轨迹规划的可行性.
主要方法:
- 利用Python版本的机器人工具箱用于操纵器轨迹规划.
- 开发了一个新的成本函数,包括质量,代和剩余.
- 实施并比较了三个反向动力学方法:牛顿-拉普森 (NR),高斯-牛顿 (GN) 和莱文伯格-马奎特 (LM).
主要成果:
- 拟议的成本函数在评估操纵者的努力方面证明了可行性和有效性.
- 与双A*和MoveIt.It相比,开发的方法被证明是有效和稳定的.
- 采用Chan λ = 0.1的Levenberg-Marquardt (LM) 在农业机器人平台上的移动操作中成功应用.
结论:
- 新型成本函数为轨迹规划提供了对操纵器努力的更综合的评估.
- 机器人工具箱为操纵器轨迹规划的传统方法提供了一个可行的替代方案.
- 经过验证的方法适用于现实世界的应用,包括农业中的移动操作.
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