优化了模块化机器人的用户引导运动控制
Anastasia Bolotnikova1,2, Kevin Holdcroft1, Henry Cerbone1
1Reconfigurable Robotics Lab, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Nature communications
|September 30, 2025
概括
这项研究介绍了一种用于控制自我重新配置模块化机器人的新平台. 它允许用户安全地引导具有不断变化的形状和尺寸的机器人集体,提高复杂任务的适应性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人与机器人的交互
- 控制系统 控制系统
背景情况:
- 模块化机器人提供了适应性,但在重新配置期间在运动控制方面面临挑战.
- 现有的方法限制了适应性,因为它依赖于预先编程的知识来改变机器人结构.
研究的目的:
- 为可自我重新配置的模块化机器人开发一个用户引导的控制平台.
- 为了能够安全和直观地控制动态变化的机器人集体.
主要方法:
- 实现了用户命令在线处理的优化方案,确保约束满足.
- 引入了联合空间操纵杆,这是一个适应机器人形态的物理接口,用于直接的用户控制.
主要成果:
- 通过物理接口展示了模块化,改变形状的机器人的安全控制.
- 在各种形态 (Mori3,Roombots) 和任务 (接送,移动,工作空间扩展) 中验证了平台的有效性和通用性.
结论:
- 拟议的平台提高了模块化机器人集体的适应性.
- 通过物理接口的用户引导控制可促进动态机器人系统的复杂操作.
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