Known as an artificial intelligence subarea, Swarm Robotics is a developing study field
investigating bio-inspired collaborative control approaches and integrates a huge collection …

We present a survey on the application of fluid approximations, in the form of mean-field
models, to the design of control strategies in swarm robotics. Mean-field models that consist …

This paper proposes a novel game-theoretical autonomous decision-making framework to
address a task allocation problem for a swarm of multiple agents. We consider cooperation …

We present a distributed control algorithm simultaneously solving both the stochastic target
assignment and optimal motion control for large-scale swarms to achieve complex formation …

This paper introduces a probabilistic guidance approach for the coordination of swarms of
autonomous agents. The main idea is to drive the swarm to a prescribed density distribution …

Probabilistic swarm guidance enables autonomous agents to generate their individual
trajectories independently so that the entire swarm converges to the desired distribution …

Motivated by biological swarms occurring in nature, there is recent interest in developing
swarms comprised completely of engineered agents. The main challenge for developing …

This paper presents a Markov chain based approach for the probabilistic density control of a
large number, swarm, of autonomous agents. The proposed approach specifies the time …

The goal of this paper is to provide a survey and application-focused atlas of collective
behavior coordination algorithms for multi-agent systems. We survey the general family of …

As the number of agents comprising a swarm increases, individual-agent-based control
techniques for collective task completion become computationally intractable. We study a …