Multi-Robot Systems: Challenges, Trends and Applications

Edited by
March 2022
392 pages
  • ISBN978-3-0365-2846-5 (Hardback)
  • ISBN978-3-0365-2847-2 (PDF)

This book is a reprint of the Special Issue Multi-Robot Systems: Challenges, Trends and Applications that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Environmental & Earth Sciences
Physical Sciences

This book is a printed edition of the Special Issue entitled “Multi-Robot Systems: Challenges, Trends, and Applications” that was published in Applied Sciences. This Special Issue collected seventeen high-quality papers that discuss the main challenges of multi-robot systems, present the trends to address these issues, and report various relevant applications. Some of the topics addressed by these papers are robot swarms, mission planning, robot teaming, machine learning, immersive technologies, search and rescue, and social robotics.

  • Hardback
© 2022 by the authors; CC BY-NC-ND license
exploration missions; cooperative systems; multi-robot coordinated systems; constrained-communication environments; collaborative localization; distributed tracking; nonlinear model; unscented transformation; robust autonomous landing; unmanned aerial vehicle; unmanned ground vehicle; multi-robot systems; Kalman filter; PID controller; re-localization module; information sharing; multi-robot systems; positional uncertainty; path planning; mapping; human robot interaction; android robot; passive social conversation; multiple conversation robots; swarm; robotics; hormone; behaviour; arbitration; demand; multi-agent systems; planning; M* algorithm; shortest path finding; collision-free constraint; optimality and completeness; multi-robot; collaborative navigation; deep reinforcement learning; autonomous robots; multi-robot systems; teamwork; coordination; dynamic environments; autonomous media production; drone cinematography; multimedia tools; dialogue system; elderly people; two robots; task and motion planning; manipulation planning; robot-human interactions; perception; digital twin; virtual reality; collaborative robots; Industry 4.0; lean automation; multi-robot cell; mixed reality simulation; unmanned aerial vehicles; X-Plane flight simulator; visualized ground control station; dual-head electromagnetic propulsion device; swarm robotics; automatic design; AutoMoDe; evolutionary robotics; time-based synchronization; heterogeneous multi-robotic cell; socket communication; low computational power; native language application; robotics; multi-robot systems; swarms; drones; firefighting; n/a