Self-organised emergent patterns can be widely seen in natural and man-made complex
systems generated by interactions among local components without external or global …

This paper introduces the concepts of distributed intelligence, outlining the motivations for
studying this field of research. We then classify common systems of distributed intelligence …

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 …

We present a constrained optimization method for multi-robot formation control in dynamic
environments, where the robots adjust the parameters of the formation, such as size and …

Recent advances in miniaturizing of computing, communication, sensing, and actuation
have made it feasible to envision large numbers of autonomous vehicles (air, ground, and …

This self-contained introduction to the distributed control of robotic networks offers a
distinctive blend of computer science and control theory. The book presents a broad set of …

Most ocean vessels are underactuated but control of their motion in the real ocean
environment is essential. Control of Ships and Underwater Vehicles concentrates on the …

A decentralized, adaptive control law is presented to drive a network of mobile robots to an
optimal sensing configuration. The control law is adaptive in that it uses sensor …

The ability of a robot team to reconfigure itself is useful in many applications: for
metamorphic robots to change shape, for swarm motion towards a goal, for biological …

This paper presents a region-based shape controller for a swarm of robots. In this control
method, the robots move as a group inside a desired region while maintaining a minimum …