Swarm of primitive robots

A robotic swarm aims to achieve physical and computational flexibility and increased system robustness in multi-task performance, including localization, mapping, and navigation in an unknown, possibly dynamic, environment. Despite their potential, robotic swarms have not yet been applied to tackle real-world problems, due to challenges in achieving controllable global behaviors in a scalable and distributed manner, and the lack of systematic evaluation methods for task performance.


This project aims to develop and evaluate scalable and adaptive algorithms and hardware platforms for controllable global behaviors in an artificial swarm of primitive robots.