Distributed Sensing using Swarms of Robots

Several case studies concerned with distributed sensing have been performed in order to develop and verify probabilistic modeling  techniques, bio-inspired distributed control algorithms, and control optimization methods based on machine-learning. We classify these efforts based on the target experiment although the ultimate goal of this research has been (and still is) to develop general modeling, control, and optimization methodologies for self-organized, swarm-intelligent, real-time, embedded systems.

Exploration and Mapping
Infrared Source Localization
Odor Source Localization