轻量级双层控制架构用于人类跟随机器人的机器人
Gustavo A Acosta-Amaya1, Deimer A Miranda-Montoya2, Jovani A Jimenez-Builes2
1Instrumentation and Control Department, Faculty of Engineering, Politécnico Colombiano Jaime Isaza Cadavid, Medellín 050022, Colombia.
Sensors (Basel, Switzerland)
|December 17, 2024
概括
这项研究引入了一个新的机器人控制系统,帮助机器人跟随室内的人. 该系统使用模糊逻辑控制器和先进的算法,证明了对辅助机器人的有效性.
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
- 人工智能的人工智能
背景情况:
- 人类检测和跟踪对于室内环境中安全的人机交互至关重要,特别是对辅助机器人来说.
- 老年人和残疾人对援助的日益增长的需求推动了先进机器人系统的发展.
研究的目的:
- 为人类跟随机器人展示一种轻量级的两层控制架构.
- 整合一个模糊的基于行为的控制系统与低级嵌入式控制器,以提高性能.
主要方法:
- 使用RGB-D传感器捕获距离和角度数据.
- 实现了一个模糊控制器来生成电机转速设定点.
- 开发了使用杆位和内部模型控制 (IMC) 方法的低级控制器.
主要成果:
- 机器人成功地实时跟随一个人,在五次试验中保持1.3米的距离.
- 内部模型控制 (IMC) 控制器在所有评估指标上都表现优于杆位控制器.
- 实验验证证证实了该架构在现实世界场景中的有效性.
结论:
- 拟议的控制架构为有限的计算能力的人类跟随辅助机器人提供了强大的实时解决方案.
- 该系统的模块化和可扩展性支持未来个人辅助机器人技术的进步.
- 这种方法有效地解决了室内人机交互的挑战.
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