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Multi-Agent Systems, Swarms

Continuous advances in technology have made the use of several robotic agents possible in order to carry out a large variety of cooperative tasks. While one could design a robot for every imaginable task, it would be intuitively more efficient, and perhaps more effective, to assign a team of cooperative mobile robots to perform different tasks, with the possibility that some of the tasks being executed concurrently. Research in this area aims to coordinate, localize and plan the motion of the robots by designing distributed or decentralized algorithms that scales from small to very large groups of robots, also known as swarms. These algorithms can be used in applications that range from warehouse automation to smart cities populated by fleets of self-driving vehicles. 

Affiliated Faculty

Recent Publications

  1. Dhanaraj, N., Hewitt, N., Edmonds-Estes, C., Jarman, R., Seo, J., Gunner, H., Hatfield, A., Jonshon, T., Yifru, L., Maffeo, J., Pereira, G., Gross, J., Gu, Y. “Adaptable Plaform for Interactive Swarm Robotics (APIS): A Human-Sward Interactions Research Testbed” 2019 IEEE Conference on Advanced Robotics (ICAR) , Belo-Horizonte, Brazil, Dec. 2019
  2. Gross, J.N., De Petrillo, M., Beard, J., Nichols, H., Swiger, T., …, & Griffin, C., “ Field-Testing of a UAV-UGV Team for GNSS-Denied Navigation in Subterranean Environments” Proceedings of the 32nd Annual International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+), Miami, FL, Sept., 2019. pp. 2112-2124