Collective Path Planning and Swarm Intelligence

Control of a large group of individuals that form a collective has applications in the fields of swarm robotics, biology, economics and also in control of human crowd motion. Cooperative, multiple robots are employed for many different purposes to increase the efficiency and success in tasks. Autonomous multi-robot systems have a wide range of applications such as area exploration, cooperative transportation, reconnaissance and rescue operations with unmanned vehicles. Cooperative agents are usually operated in unknown areas with limited or without prior knowledge of the environment. Our research focuses on the cooperative control strategies, path planning and the collective decision-making to ensure a reliable navigation for autonomous multi-agents.

Person in charge: Ertug Olcay, M. Sc. ,  PhD at the chair from 2016 to 2020