设计,实施和基于观察者的输出控制超卷聚合物驱动的两度自由度的机器人眼睛
Sunil Kumar Rajendran1, Qi Wei2, Ningshi Yao3
1Sunil Kumar Rajendran is with BSS Technologies Inc., MD 20912, USA.
概括
这项研究引入了使用人工肌肉的机器人眼睛,以更好地了解眼睛运动障碍. 观察者估计肌肉温度,从而实现有效的闭环控制,以精确模拟眼动.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 生物医学工程 生物医学工程
- 眼科医生 眼科 眼科
背景情况:
- 对眼部运动障碍的无效正手术凸显了研究人类眼睛运动生物力学的先进工具的需要.
- 现有的机器人眼睛平台缺乏必要的真实性或控制机制,以准确地复制复杂的眼睛运动.
- 超卷聚合物 (SCP) 人造肌肉由于其仿生性质,为机器人眼睛系统提供了一个有前途的执行方法.
研究的目的:
- 介绍由SCP人造肌肉驱动的2DOF机器人眼睛系统的首个硬件设计和实现.
- 开发和验证一个减少顺序状态观察者来估计SCP温度,克服实际测量限制.
- 实施和测试一个闭环输出反控制策略,将观察者与深度决定性政策梯度 (DDPG) 控制器相结合,以准确复制眼动.
主要方法:
- 设计和制造了一种新的2DOF机器人眼睛平台,使用SCP人造肌肉来执行.
- 开发了一种减少级状态观察器,以根据动力学测量估计SCP的内部温度状态.
- 将观察者与先前存在的DDPG基于学习的控制器集成在一起,以实现机器人眼睛的闭环输出反控制.
主要成果:
- 成功实现了SCP驱动机器人眼睛原型的闭环控制系统.
- 基于观察者的输出反控制在控制机器人眼睛方面表现出有效的性能.
- 该系统准确地复制了人类三种基本类型的眼睛运动:视觉固定,冲刺追逐和平滑追逐.
结论:
- 开发的机器人眼睛平台,由SCP人工肌肉驱动,并通过基于观察者的策略控制,是研究眼部运动障碍的可行工具.
- 拟议的减少顺序状态观察器有效地解决了SCP执行器中不切实际的温度传感的挑战.
- 这项研究验证了生物模拟机器人系统闭环控制的新方法,为更复杂的眼动研究和潜在的临床应用铺平了道路.
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