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改进了鱼优化,以在双臂机器人中进行最佳时间和无碰撞的轨迹规划
Ying Du1, Chengbo Xu2, Yunjia Wang2
1School of Electrical and Mechanical Engineering, Jilin University of Architecture and Technology, Changchun, 130114, China. 1226101040@qq.com.
Scientific reports
|January 6, 2026
概括
本研究介绍了一种改进的鱼优化算法 (WOA),用于双臂机器人路径规划,增强协作式避障. 这种新的方法显著减少了运动距离,并提高了路径优化效率.
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
- 优化算法 优化算法
背景情况:
- 双臂机器人路径优化面临环境和协作障碍回避方面的挑战.
- 在复杂,动态的场景中,现有的方法可能缺乏效率.
研究的目的:
- 为双臂机器人提出一个时间最佳的轨迹优化方法.
- 加强协作和环境障碍回避能力.
- 为了提高效率和减少双臂机器人的运动距离.
主要方法:
- 开发了一个多策略优化的鱼优化算法 (WOA).
- 左臂的轨迹被用来作为右臂路径规划的障碍.
- 集成了碰撞检测机制,将问题描述为一个受约束的优化任务.
主要成果:
- 拟议的方法将操纵器的总运动距离减少了17.59%.
- 与传统的WOA相比,路径优化效率提高了51%.
- 模拟实验验证了多策略优化WOA的有效性.
结论:
- 新的多策略优化WOA有效地解决了双臂机器人路径优化挑战.
- 该方法在效率和运动距离减少方面提供了显著的改进.
- 这种方法为机器人技术中协作避开障碍提供了一个强大的解决方案.
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