适应性循环节律用于自主和生物启发的机器人行为
Marcos Maroto-Gómez1, María Malfaz1, Álvaro Castro-González1
1Systems Engineering and Automation, University Carlos III of Madrid, Av. de la Universidad 30, 28911 Leganés, Madrid, Spain.
Biomimetics (Basel, Switzerland)
|September 27, 2023
概括
这项研究引入了一个机器人行为模型,灵感来自人类昼夜节律. 适应型模型调整机器人的行为以适应环境变化,如光线和用户活动,以改善人机交互.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 计算生物学 计算生物学
- 人工智能的人工智能
背景情况:
- 生物节律,包括昼夜节律,是生物体的内部变化,适应环境变化.
- 上核作为人类的生物节拍器,调节睡眠,情绪和平衡等功能.
- 适应性机器人行为对于在动态的社会环境中有效的人机交互至关重要.
研究的目的:
- 基于昼夜生物节律的自主和适应性机器人行为的生物灵感模型.
- 通过自适应性行为使机器人能够模仿人类的社会技能,从而增强人机互动.
- 开发一种机器人控制系统,模仿人类生物功能进行决策.
主要方法:
- 利用动态昼夜综合响应特征 (DCIRC) 方法来建模人类昼夜节律.
- 实现了适应性机器人时钟,与环境刺激如光,环境噪音和用户活动同步.
- 模拟的荷尔蒙调节影响睡眠/活动时间,压力和心率控制.
主要成果:
- 证明了模型对时间变化和环境刺激的季节性变化的适应性反应.
- 展示了机器人行为与不断变化的环境条件的成功同步.
- 验证了对机器人生物功能至关重要的模拟激素的调节.
结论:
- 这种生物启发的模型有效地实现了机器人的自适应行为,以应对环境动态.
- 这种方法通过模仿人类生物节奏来提高机器人的社交技能和用户参与度.
- 该DCIRC方法提供了一个强大的框架,用于创建更具响应性和类似人类的自主系统.
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