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身体关节四足机器人的多约束空间合和在崎的地形上使用CPG控制方法
Guozheng Song1, Qinglin Ai1,2, Hangsheng Tong1
1College of Mechanical Engineering, Zhejiang University of Technology, 310014 Hangzhou, People's Republic of China.
Bioinspiration & biomimetics
|August 23, 2023
概括
这项研究引入了一种新的步态控制方法,用于具有活跃身体关节的四足机器人,提高在崎的地形上的稳定性. 多约束空间合 (MCSC) 算法通过动态调整身体姿势来确保强大的运动.
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
- 机械工程 机械工程
背景情况:
- 具有活跃身体关节的四肢机器人为救援和勘探等任务提供了增强的环境适应能力.
- 然而,在崎的地形上移动时保持稳定仍然是这些机器人面临的重大挑战.
- 现有的控制方法在复杂,不均的环境中难以保证一致的稳定性.
研究的目的:
- 开发一种先进的步态控制方法,用于身体关节四足机器人.
- 为了提高四足机器人在具有挑战性的地形中运行的稳定性和适应性.
- 解决目前控制策略的局限性,以确保稳健的机动.
主要方法:
- 提出了一个多约束空间合 (MCSC) 算法来定义一个稳定的身体工作空间.
- 开发了一种多层中央模式发生器 (CPG) 模型,使用Hopf振荡器来生成步态和切换 (步行,步行).
- 实施了基于MCSC工作空间的反射调整策略,用于实时修改身体姿势.
主要成果:
- MCSC算法成功为四足机器人定义了一个稳定的身体工作空间.
- 该CPG模型有效地生成并切换行走和步步态度.
- 反射调整策略减少了摇摆腿偏移和身体姿势角度波动.
- 开发的机器人原型在各种地形上表现出稳定的机动.
结论:
- 提出的基于MCSC的步态控制方法显著提高了身体关节四足机器人的稳定性.
- 动态身体姿势修改对于在复杂的环境中保持稳定至关重要.
- 这项研究为在具有挑战性的操作环境中控制四足机器人提供了宝贵的参考.
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