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Updated: Jul 5, 2025

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Designing and Implementing Nervous System Simulations on LEGO Robots
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实现一个人工同情的机器人队伍
Joanna Siwek1, Patryk Żywica1, Przemysław Siwek2
1Department of Artificial Intelligence, Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Uniwersytetu Poznańskiego 4, 61-614 Poznań, Poland.
Sensors (Basel, Switzerland)
|January 11, 2024
概括
这项研究引入了对机器人群的人工同理心,通过模糊状态向量和同步行为的相似度来增强合作. 现实世界的实验验证了框架的有效性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 群集情报 群集情报 群集情报
背景情况:
- 在多代理系统中,改善沟通和合作至关重要.
- 现有的模型经常与现实世界的不确定性和复杂的相互作用作斗争.
- 人工系统中对同情推理的需求正在增长.
研究的目的:
- 介绍一种用于将人工同情心整合到机器人群中的新框架.
- 增强群体代理之间的沟通和合作.
- 通过同情的推理来实现同步的群体行为.
主要方法:
- 使用模糊状态向量来表示代理知识和环境.
- 采用相似度指标进行状态比较和移情推理.
- 使用开源基于物理的实验平台 (OPEP) 开发用于自动化,可重复的物理实验的过渡环境.
主要成果:
- 在实际的机器人群应用中证明了人工同情心框架的有效性.
- 通过同情的推理实现了同步的群体行为.
- 用实体机器人在现实场景中经验验证了模型的性能.
结论:
- 拟议的框架有效地将人工同情心整合到机器人群中.
- 共感推理显著改善了沟通,合作和同步的行为.
- 欧佩克平台提供了一种强大的方法,用于对群体机器人的实证验证.
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