Swarms of robots will revolutionize many industrial applications, from targeted material
delivery to precision farming. However, several of the heterogeneous characteristics that …

Effective deployment of multi-robot teams requires solving several interdependent problems
at varying levels of abstraction. Specifically, heterogeneous multi-robot systems must …

Self-organisation in robot swarms can produce collective behaviours, particularly through
spatial self-organisation. For example, it can be used to ensure that the robots in a swarm …

Bio-inspired computation, short for biologically inspired computation, is the use of computers
to model the living phenomena, and simultaneously the study of life to improve the usage of …

This paper presents a distributed coordination methodology for multi-robot systems, based
on nearest-neighbor interactions. Among many interesting tasks that may be performed …

Bio-inspired intelligence is in the spotlight in the field of international artificial intelligence,
and unmanned combat aerial vehicle (UCAV), owing to its potential to perform dangerous …

This letter proposes a navigation method for multirobots with heterogeneous abilities. In this
method, a single leader navigates other robots that have different translational and rotational …

Complex, multi-task missions require the coordination of heterogeneous robots at multiple
inter-connected levels, such as coalition formation, scheduling, and motion planning. This …

To realize effective heterogeneous multi-robot teams, researchers must leverage individual
robots' relative strengths and coordinate their individual behaviors. Specifically …

Energy is one of the key enablers for robotic swarms. The feasibility of heterogeneous
swarms to perform complex missions depends upon the energy stored in the robot batteries …