Shervin Nouyan

TL;DR: This paper presents the first self-organized system of robots that displays a dynamical hierarchy of teamwork (with cooperation also occurring among higher order entities), and shows that teamwork requires neither individual recognition nor differences between individuals.

TL;DR: Two swarm intelligence control mechanisms used for distributed robot path formation, called vectorfield and chains, are presented and it is observed that chains perform better for small robot group sizes, while vectorfield performs better for large groups.

TL;DR: An overview of the SWARM-BOTS project is provided, a robotic project sponsored by the Future and Emerging Technologies program of the European Commission, in which distributed adaptive controllers are used to control a group of real, or simulated, robots so that they perform a variety of tasks which require cooperation and coordination.

TL;DR: This work implements virtual ants that lay artificial pheromone inside a network of robots that favors the selection of the closest resource and is able to select a new path if a selected resource becomes unavailable and selects a newly detected and better resource when possible.

TL;DR: The case in which robots have partial and noisy knowledge of the goal direction and can not perceive the goal itself is investigated and a bio-inspired mechanism of negotiation of direction that is fully distributed is proposed.