机器人群的分布式空间意识
Simon Jones1,2, Sabine Hauert1,2
1Department of Engineering Maths, University of Bristol, Queens Road, Bristol, BS8 1QU UK.
概括
研究人员开发了一个分布式空间意识系统,用于机器人群使用本地传感和高斯式信念传播. 这使得新的小群算法具有低带宽和计算能力,在模拟和真实机器人上进行演示.
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
- 分布式系统 分布式系统
背景情况:
- 群体机器人依赖于协调.
- 现有的方法通常需要高带宽或复杂的计算.
- 对于先进的群体行为,需要一个分布式的参考框架.
研究的目的:
- 为机器人群群开发一个分布式空间意识系统.
- 通过一个共享的,集群中心的参考框架来实现新的群集算法.
- 以低通信和计算开销实现这一目标.
主要方法:
- 利用本地机器人观测和高斯的信念传播.
- 实现了连续的群体移动,用于动态参考框架更新.
- 通过模拟和现实世界机器人实验验证实了系统.
主要成果:
- 成功建立了一个全球,分布式的集群中心的参考框架.
- 使用这个框架证明了新的群集算法的可行性.
- 即使有不完美的机器人传感,也可以实现可靠的性能.
结论:
- 在机器人群中可以实现分布式空间意识.
- 拟议的方法为小群协调提供了一个低资源的解决方案.
- 这种框架支持新的,复杂的群体行为的发展.
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