Fault tolerance and sensor performance in swarm systems
Swarm systems are generally considered to be robust and scalable, at least if all sensors and platforms work as intended. But what if sensors start to introduce false detections or platforms malfunction? How will this affect the overall performance of the swarm, taking into account that all agent behavior is fundamentally sensor driven and related to the behavior of nearby agents?
In this assignment we aim at analyzing a baseline area monitoring scenarios in order to derive bounds on required detector performance for swarm operation. Furthermore, is it possible to develop strategies that protect the integrity of the swarm in case of corrupted data or platform failure? This assignment is proposed as a simulation project where one typically uses different bio-inspired optimization methods for analysis.
FFI is researching swarm systems, both from a theoretical perspective and in terms of practical applications development (https://vimeo.com/170946568). Our goal is to operate and understand continuous swarm operation for area monitoring using multifunction RF, electrooptical and acoustic sensors onboard. In this cross disciplinary research we are interested in working with all kinds of talented students, ranging from sensor students to more theoretical students in artificial intelligence methods. In the following some themes for master projects are suggested. However, we are open to all aspects of swarm research. So, if you are interested in swarm you should talk to us and we will find a project that is in line with your research interests.