My research studies problems concerning the security of multi-robot systems,
covering the key aspects such as threat identification methodologies and
countermeasure developments. To ensure the security of multi-robot systems with
the given objectives, this study proposes an attack diagnosis method and an
attack-resilient control system for multi-robot systems.
The main tasks to be achieved in this study are:
(1) types of attack that can occur on a robotic system and corresponding system
requirements are introduced to model and understand how a cyber adversary may
affect the system operation;
(2) an attack diagnosis scheme is developed to enable an agent in multi-robot systems
continuously monitored for anomalies caused by adversary actions;
(3) an attack-resilient controller is designed to adapt to the abnormal situation
so that the overall system continues to satisfy its goal, thus mitigating the impact of attacks;
(4) the performance of the proposed system is illustrated and evalutated using real robots.
This work is sponsored by the U.S. Department of Justice.