Biological multi-agent systems such as animal herds, insect colonies and fish schools provide a lot of insight into the study and design of artificial multi-agent systems such as teams of autonomous mobile robots. Similarly, a lot can be learned about biological systems by borrowing design and analysis tools from multi-agent robotics. In this paper some recent work in the area of multi-agent ro...

Two algorithms for area coverage (for use in space applications) were evaluated using a simulator and then tested on a multi-robot society consisting of LEGO Mindstorms robots. The two algorithms are (i) a vector force based implementation and (ii) a machine learning approach. The second is based on an organizational-learning oriented classifier system (OCS) introduced by Takadama in 1998.

The online coach within the simulation league has become more powerful over the last few years. Therefore, new options with regard to the recognition of the opponents strategy are possible. For example, the online coach is the only player who gets the information of all the objects on the field. This leads to the idea determine the opponents play system by the online coach and then choose an ef...

Formations that contain a small number of robots are modeled as controlled Lagrangian systems on Jacobi shape space. This allows a block-structured control of position, orientation and shape of the formation. Feedback control laws are derived using control Lyapunov functions. The controlled dynamics converges to the invariant set where desired shape is achieved. Controllers are implemented in a...

This paper is concerned with planning the motion of mobile robots in formation, which means certain geometrical constraints are imposed on the relative positions and orientations of the robots throughout their travel. Specifically, a method of planning motion for formations of mobile robots with nonholonomic constraints is presented. The kinematic equations developed allow a certain class of fo...

AbsIruct-Formations that contain a small number of robots are modeled as controlled Lagrangian systems on Jacobi shape space. This allows a blocked decoupled control for position, orientation and shape of the formation. Feedback control laws are derived using control Lyapunov functions. The controlled dynamics converges to the invariant set where desired shape is achieved. Controllers are imple...