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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

SITUATIONAL ANALYTICS

DATA-DRIVEN LIFESTYLE SUPPORT THROUGH SMART DEVICES

DIRECTED LOCOMOTION LEARNING FOR EVOLVING MODULAR ROBOTS OF ARBITRARY MORPHOLOGIES

EVOLVABLE ROBOTS

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

PHOENIX

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.