Robotics and Autonomous Systems Group

Academic Staff

Prof. Katie Atkinson		AI and Law, computational models of argument, dialogue games
Dr. Guangliang Cheng		Deep Learning, Computer Vision, Perception algorithms and applications
Dr. Mario Gianni		Robot Teaming
Prof. Xiaowei Huang		Trustworthy Machine Learning, Verification and Validation, Model Checking
Dr. Ullrich Hustadt		High Performance Computing, Bioinformatics, String algorithms, Combinatorial Optimization
Dr. Anh Nguyen		Vision: Image segmentation, medical image, object detection, video understanding, connecting vision and language. Learning: Deep learning, graphical model, deep reinforcement learning. Robotics: Manipulation, locomotion, medical robot
Dr. Terry Payne		Head of Group The use of ontological knowledge for the support of agent-based service discovery and the exploration of dialogue-based negotiation approaches to establish contextually-relevant ontological alignment between interacting agents on the fly
Dr. Bei Peng		(deep) reinforcement learning, multi-agent systems, interactive machine learning, and curriculum learning
Andrew Roxburgh		Mobile and web technologies as digital interventions
Dr. Wiley Ruan
Prof. Sven Schewe		Automata theory, game theory (especially finite games of infinite duration) verification, reinforcement learning, temporal logic, Markov games and decision processes, control theory, equilibria, agent & game logics
Dr. Valentina Tamma		Ontologies in open and distributed environments. AI methods in dynamic knowledge evolution & adaptation. Ontology design, ontology management, semantic integration, ontology evolution, and knowledge acquisition
Prof. Wiebe van der Hoek		Knowledge Representation, Logic, Logics for Knowledge and Belief, Logics for games
Dr. Dominik Wojtczak		Probabilistic systems, game theory, coalition games, control theory, verification of embedded systems

Research Staff

Joe Collenette		Evolution of co-operation between agents, natural language processing, computational representations of emotions
Yi Dong		Deep Reinforcement Learning; Probabilistic Verification; Multi-Agent Systems; Distributed Optimisation; Power System Management
Joe Jerome		Reinforcement Learning agents
Leszek Pecyna		Artificial Intelligence, Artificial Neural Network Developmental, Robotics, Deep Neural Networks, Modeling of Number Cognition
Prof Karl Tuyls		Adaptation in multi-agent and robot systems, Reinforcement learning, (Evolutionary) Game theory, Swarm intelligence and bio-inspired computing, Machine learning, and Datamining