六足动物移动性的协同方法:在具有挑战性的地形上对结构,导航和控制策略的比较评估
Sivayazi Kappagantula1, Giriraj Mannayee2
1Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India. sivayazi.k@manipal.edu.
Scientific reports
|January 22, 2026
概括
本研究介绍了一种用于六足动物机器人的综合系统,通过结构分析,路径规划和自适应性关节控制来优化挑战性地形上的性能. 该系统增强了现实世界部署的稳定性和效率.
科学领域:
- 机器人与机械工程 机器人与机械工程
- 控制系统和自动化控制系统和自动化
- 计算力学 计算力学 计算力学
背景情况:
- 六足动物机器人需要强大的系统,以便在复杂的地形上有效导航.
- 现有的系统往往缺乏结构完整性,路径规划和联合控制的综合方法.
研究的目的:
- 开发和验证一个统一的系统,以优化六足动物机器人在山丘,楼梯和不均的表面上的有效性.
- 将结构应力分析,导航规划评估和适应性联合控制相结合,以提高六足动物的性能.
主要方法:
- 代起草和PLA材料用于机器人开发.
- 有限元分析 (FEA) 用于在不同力量下评估结构完整性.
- 用ROS/Gazebo中的PID本地规划器对全球路径规划器 (A*,Dijkstra,RRT,APF) 的比较分析.
- 适应同步用于联合控制,以提高稳定性和减少错误.
主要成果:
- FEA证实了正应力分配和2.8的安全系数,平衡紧性和耐用性.
- 与RRT相比,A*和Dijkstra的规划人员在路径查找中实现了100%的准确性,减少了17%的变化.
- 适应性关节控制使振荡偏差减少了12%,位移误差减少了15%.
结论:
- 综合方法提供了一个新的,全面的优化战略,为六足人机器人.
- 该系统能够在各种地形上强大有效地在现实世界中部署六足动物.
- 未来的工作将探索基于混合学习的规划和传感器驱动的动态适应.
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