Collective Robotics

Inspired by the fascinating collective motion patterns and efficient collective decision making processes of animals, we investigate the widespread potential of collective artificial intelligence of large swarms of drones. We develop distributed, self-organized drone swarm systems both in hardware and software and try to find the optimal autonomous behavior of drones in several tasks, such as coordinated flocking behavior in open or confined areas, drone traffic, collective chase and escape or vision based collective search.

Project leader(s): Vásárhelyi Gábor

Participant(s): Vicsek Tamás; Somorjai Gergő; Vadász Gergő

Webpage: hal.elte.hu/~vasarhelyi

Publication(s):

• Vásárhelyi, G., Virágh, C., Somorjai, G., Nepusz, T., Eiben, A. E., & Vicsek, T. (2018). Optimized flocking of autonomous drones in confined environments. Science Robotics, 3(20). DOI .
• Balázs, B., & Vásárhelyi, G. (2018). Coordinated dense aerial traffic with self-driving drones. In Robotics and Automation (ICRA 2018), International Conference on (pp. 6365–6372).
• Janosov, M., Virágh, C., Vásárhelyi, G., & Vicsek, T. (2017). Group chasing tactics: how to catch a faster prey. New Journal Of Physics, 19(5), 053003. DOI .
• Vásárhelyi, G., Virágh, C., Tarcai, N., Szörényi, T., Somorjai, G., Nepusz, T., & Vicsek, T. (2014). Outdoor flocking and formation flight with autonomous aerial robots. In Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on (pp. 3866–3873). DOI .