How can we make use of one or more computationally powerful virtual robots, to create a hive mind network to better coordinate multi-robot teams?

我们如何利用一个或多个计算能力强大的虚拟机器人来创建蜂巢思维网络，以更好地协调多机器人团队？

• 批准号: 2594635
• 金额: --
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2025
• 资助国家: 英国
• 起止时间: 2025 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2594635
• 关键词: How; make; use; more; computationally

Project description:1. Research Aim and OverviewThis research aims to take inspiration from bee colonies to develop a hive mind [1] network. The proposed network architecture makes use of a queen node, a virtual entity with a large computational resource (e.g. a cloud server) that all robots on the network can connect to. In a similar vein to the queen bee, the queen node can process data for the entire hive mind whilst the individual robots are only able to process data at a local level. The queen node may also be used for communicating information to the network, sharing data between robots, monitoring the status of robots, and controlling the behaviour of the network as a whole. The queen bee model will be combined with swarm robotics concepts wherebyteams of robots operate in a distributed manner.This project aims to answer 3 key research questions, these have been written with the intention of addressing approximately one per year of the PhD:1. How can we build a multi-robot team with an integrated queen node and what useful functions should the queen node complete?2. Can this model be used to facilitate the communication between two or more multi-robot teams, each with their own queen node, to complete a shared task?3. How can we demonstrate the queen node model's effectiveness on real world applications to improve swarm performance outside of the laboratory?

项目描述:1。研究目的与概述本研究旨在从蜂群中获得灵感，发展蜂群思维[1]网络。提出的网络架构利用了皇后节点，这是一个具有大量计算资源（例如云服务器）的虚拟实体，网络上的所有机器人都可以连接到它。与蜂王类似，蜂王节点可以处理整个蜂群思维的数据，而单个机器人只能处理局部层面的数据。皇后节点还可用于向网络通信信息、在机器人之间共享数据、监视机器人的状态以及控制整个网络的行为。蜂王模型将与群机器人概念相结合，其中机器人团队以分布式方式操作。该项目旨在回答3个关键研究问题，这些问题的目的是每年解决大约一个博士学位：1。如何构建一个集成后节点的多机器人团队，后节点应该完成哪些有用的功能？是否可以使用该模型来促进两个或多个多机器人团队之间的通信，每个团队都有自己的后节点，以完成共享任务？我们如何证明后节点模型在实际应用中的有效性，以提高实验室外的群性能？