Collection

Engineering: Distributed Mobile Robotic Systems

Goal: This topical collection looks for original articles and short communications focusing on the latest theoretical and experimental advances in design, analysis, and application of distributed multi-robot systems. Topics of interest include, but are not limited to: Self-organizing and self-assembling robotic systems; Multi-robot and multi-vehicle motion coordination; Distributed decision making; Swarm robotic systems; Emergent collective behaviors; Hybrid symbiotic teams (humans and robots, animals and robots); Learning and adaptation in teams of robots; Modular robotics; Localization and navigation in multi-robot systems; Distributed cooperative perception / action / planning; Control issues in multi-robot systems; Performance metrics for robot teams; Sensor and actuator networks; Communication / Interactions in multi-robot systems; Wireless and robotic sensor networks; Architectures for teams of robots; Multi-robot applications in exploration, inspection, coverage, search and rescue, service, environmental monitoring, foraging, construction, etc.

Editors

  • Guillaume Sartoretti

    Guillaume Sartoretti joined the Mechanical Engineering department at the National University of Singapore (NUS) as an Assistant Professor in 2019. His work is inscribed in the current push away from centralized methods, where a single entity/AI controls each agent in the team, and toward distributed/decentralized approaches where agents are in charge of their own destiny. Applications range from multi-robot systems, where independent robots need to coordinate their actions to achieve a common goal, to high-DoF articulated robots, where joints need to be carefully coupled during locomotion in rough terrain.

  • Heiko Hamann

    Since 2017 Heiko Hamann is professor for service robotics at the University of Luebeck, Germany. He was assistant professor of swarm robotics at the University of Paderborn, Germany from 2013 until 2017. His main research interests are swarm robotics, bio-hybrid systems, evolutionary robotics, and modeling of complex systems. In recent research projects, he studies bio-hybrid systems, such as phytosensing (EU-funded project WatchPlant) and networked autonomous systems to modulate subjective time perception in humans (EU-funded project ChronoPilot).

  • Giovanni Beltrame

    Giovanni Beltrame obtained his Ph.D. in Computer Engineering from Politecnico di Milano, in 2006 after which he worked as microelectronics engineer at the European Space Agency. In 2010 he moved to Montreal, Canada where he is currently Professor at Polytechnique Montreal with the Computer and Software Engineering Department, where he directs the MIST Lab. He has completed several projects in collaboration with industry and government agencies in the area of robotics, disaster response, and space exploration. His research interests include embedded systems, artificial intelligence, and robotics.

  • Hang Ma

    Hang Ma is an Assistant Professor of Computing Science at Simon Fraser University. His research interests include artificial intelligence, robotics, and machine learning. Specifically, he is interested in automated planning, multi-agent/robot systems, spatio-temporal and constraint reasoning, applications of probabilistic methods, and other topics related to graphs, combinatorial optimization, and algorithms. More information can be found on his webpage.

Articles (4 in this collection)