Our recently introduced self-organizing nervous system (SoNS) provides robot swarms with 1) ease of behavior design and 2) global estimation of the swarm configuration and its collective environment, facilitating the implementation of online automatic code generation for robot swarms. In a demonstration with 6 real robots and simulation trials with >30 robots, we show that when a SoNS-enhanced robot swarm gets stuck, it can automatically solicit and run code generated by an external LLM on the fly, completing its mission with an 85% success rate.

翻译：我们近期提出的自组织神经系统（SoNS）为机器人集群提供了两大优势：1）行为设计的便捷性；2）对集群配置及其集体环境的全局估计能力，从而促进了面向机器人集群的在线自动代码生成技术的实现。通过在6台真实机器人上的演示实验以及对超过30台机器人的仿真测试，我们证明当配备SoNS的机器人集群陷入运行困境时，能够自动请求并实时运行由外部大语言模型生成的代码，最终以85%的成功率完成既定任务。