The mission of the CI Group in our Department is to perform research on various aspects of computational intelligence and to contribute to the Business Mathematics and Informatics curriculum. Computational Intelligence belongs to the areas of evolutionary computing, fuzzy computing and neurocomputing. As opposed to traditional logic based artificial intelligence techniques, computational intelligence techniques are generally bottom-up, where order and structure emerges from an unstructured beginning.
Below are the research projects that the CI Group is working on:
ETHICAL ROBOT STEWARDS
GENERATIVE CONTINUAL LEARNING
DATA-DRIVEN LIFESTYLE SUPPORT THROUGH SMART DEVICES
DIRECTED LOCOMOTION LEARNING FOR EVOLVING MODULAR ROBOTS OF ARBITRARY MORPHOLOGIES
PERSONALISED SMART HEALTH APPS
CONSTRAINED REINFORCEMENT LEARNING FOR PERSONALIZATION IN HIGHLY REGULATED DOMAINS
CONSTRAINED PERSONALIZATION OF SMART HEALTH APPS
MACHINE LEARNING FOR INTENSIVE CARE
PREDICTIVE MODELING AND OUTLIER DETECTION FOR LARGE DATASETS
MACHINE LEARNING AND OPTIMISATION APPLIED TO SENSORIAL DATA
EFFICIENT DEEP LEARNING
AUTONOMOUS ROBOTICS EVOLUTION: CRADLE TO GRAVE
To find out more about the robot evolution, go to the new VUweb Research website.
Check our website for more.