In the Intelligent Digital Systems Lab, we perform research towards high-performance (embedded) digital systems spanning several topic areas, including machine learning, computer vision, and robotics.
Our research is internationally well recognised both through accepted papers at major conferences and in leading journals, and through frequent invited presentations.
Computational Machine Learning
Our vision is to bring Machine Learning algorithms closer to every–day life, enabling as such humans and robots to perform their tasks in a most efficient way. Towards this vision, our aim is to design systems that are able to apply knowledge that have been programmed with on the field (inference stage), but also to design systems that are able to acquire new knowledge as it becomes available (training stage) being able as such to adapt to environment and handle previously unseen inputs.
Our vision is to make robots being able to “see”, “understand” and “interact” with the environment. Towards this, designing an artificial visual system that is able to sense a dynamic environment at high-frame rate at low power consumption in order to be deployable under an embedded setting is of paramount importance.
Robotics & UAVs
We believe that drones and unmanned air vehicles will play an important role in the future. Their domain of application ranges from object delivery for humanitarian reasons, find and rescue operations in harsh environments, ensuring safety of the public, and in general providing an ability to sense and interact with the environment in ways that were never through before. Towards this goal, developing autonomous drones that do not require any infrastructure and can “sense” and “interact” with the environment as it is required is of paramount importance.