The use of drones (or Unmanned Aerial Vehicles) in urban areas has emerged rapidly in the
last decade, and continues to expand at an unprecedented pace. Alongside these emergent …

In recent years, there has been a growing interest in designing multi-robot systems
(hereafter MRSs) to provide cost effective, fault-tolerant and reliable solutions to a variety of …

My major motivation to think about swarm robotics is the question of how probabilistic local
actions of small robots sum up to rational global patterns shown by the swarm. For the …

Within the context of multiple mobile, and networked robot systems, this chapter explores the
current state of the art. After a brief introduction, we first examine architectures for multirobot …

Recent advances in technology are delivering robots of reduced size and cost. A natural
outgrowth of these advances are systems comprised of large numbers of robots that …

Swarms of ground-based robots are presently limited to relatively simple environments,
which we attribute in part to the lack of locomotor capabilities needed to traverse complex …

Evolutionary Robotics is a method for automatically generating artificial brains and
morphologies of autonomous robots. This approach is useful both for investigating the …

Swarm robotics systems are characterized by decentralized control, limited communication
between robots, use of local information, and emergence of global behavior. Such systems …

SI can be seen also as part of the broader field of computational intelligence (CI)(Keller et al.
2016), which comprises computational methods for problems not solvable by the first …

A comprehensive introduction to new approaches in artificial intelligence and robotics that
are inspired by self-organizing biological processes and structures. New approaches to …