This work addresses the problem of radially segregating heterogeneous robotic swarms. Such swarms are those composed of different groups of robots. Unlike other works on segregation in the literature, we propose a controller for Dubins-like robots, motivated by autonomous aerial, wheeled, and underwater vehicles. Our controller can drive the robots individually to converge to circles that are shared only by robots of the same group. We present a heuristic and a collision avoidance scheme in which the information required is locally acquired. We present several simulations widely varying the number of robots per group and the number of groups in which segregation is always reached and collisions between robots are always avoided.

This paper proposes a decentralized control strategy to reach segregation in heterogeneous robot swarms distributed in curves. The approach is based on a formation control algorithm applied to each robot and a heuristics to compute the distance between the groups, i.e. the distance from the beginning of the curve. We consider that robots can communicate through a fixed underlying topology and also when they are within a certain distance. A convergence proof with a collision avoidance strategy is presented. Simulations and experimental results show that our approach allows a swarm of multiple heterogeneous robots to segregate into groups.

This paper addresses the problem of segregation of groups of heterogeneous units in robot swarms. We propose a controller that can drive robots in a way that each group composed of robots of a similar type will form clusters while maintaining segregation from other groups. The approach is based on abstractions created to represent each group of robots and an artificial potential function used to segregate the groups. Different from previous works on swarm segregation, we can mathematically guarantee that by using our approach the system will always converge to a state where multiple dissimilar groups are segregated. Moreover, in some situations, our controller does not require all robots to have information about all the other robots in the system. We demonstrate the effectiveness of our controller with simulations with different types of robots and varying number of robots and groups.