Distributed Autonomous Robotic Systems The 13th International Symposium / [electronic resource] :
edited by Roderich Groß, Andreas Kolling, Spring Berman, Emilio Frazzoli, Alcherio Martinoli, Fumitoshi Matsuno, Melvin Gauci.
- 1st ed. 2018.
- XXIII, 697 p. 329 illus., 250 illus. in color. online resource.
- Springer Proceedings in Advanced Robotics, 6 2511-1264 ; .
- Springer Proceedings in Advanced Robotics, 6 .
Distributed Coverage and Exploration -- Multi-Robot Control -- Multi-Robot Estimation -- Multi-Robot Planning -- Modular Robots and Smart Materials -- Swarm Robotics -- Multi-Robot Systems in Applications.
Distributed robotics is an interdisciplinary and rapidly growing area, combining research in computer science, communication and control systems, and electrical and mechanical engineering. Distributed robotic systems can autonomously solve complex problems while operating in highly unstructured real-world environments. They are expected to play a major role in addressing future societal needs, for example, by improving environmental impact assessment, food supply, transportation, manufacturing, security, and emergency and rescue services. The goal of the International Symposium on Distributed Autonomous Robotic Systems (DARS) is to provide a forum for scientific advances in the theory and practice of distributed autonomous robotic systems. This volume of proceedings include 47 original contributions presented at the 13th International Symposium on Distributed Autonomous Robotic Systems (DARS 2016), which was held at the Natural History Museum in London, UK, from November 7th to 9th, 2016. The selected papers in this volume are authored by leading researchers from around the world, thereby providing a broad coverage and perspective of the state-of-the-art technologies, algorithms, system architectures, and applications in distributed robotic systems. The book is organized into seven parts, representative of critical long-term and emerging research thrusts in the multi-robot community: Distributed Coverage and Exploration; Multi-Robot Control; Multi-Robot Estimation; Multi-Robot Planning; Modular Robots and Smart Materials; Swarm Robotics; and Multi-Robot Systems in Applications. .