People
Members of IPAB.
Director
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Subramanian Ramamoorthy | Robot Learning for Decision Making under Uncertainty, Dexterous Manipulation and Control, Human-Robot Interaction, Physics-informed Machine Learning, Safe and Trustworthy Artificial Intelligence |
Academic Staff
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Stefano V. Albrecht | Robust sequential decision making by autonomous agents in complex dynamic environments. Deep reinforcement learning, multi-agent reinforcement learning, models of other agents (beliefs, goals, plans) in interactive decision making. |
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Hakan Bilen | Computer vision, machine learning, deep learning, weakly supervised learning, multiple task learning, object recognition, action classification |
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Bob Fisher | Model-based vision, 3D/range data interpretation and applications, video sequence analysis |
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Michael Herrmann | Neurorobotics, self-organisation of behaviour, prosthetic control, computational neuroscience, neuroinformatics |
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Timothy Hospedales | Computer vision. Deep learning. Lifelong machine learning. Transfer and multi-task learning. Learning to Learn. Domain adaptation. Language and vision. Reinforcement Learning for control. Active Learning. Weakly supervised learning |
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Mohsen Khadem |
Medical Robotics, Image-guided Surgery, Continuum Robots, Dynamic Modeling and Simulation, Applications of Control Theory in Robotics |
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Taku Komura | Computer graphics, robotics and biomechanics: human motion analysis and synthesis, physically-based animation and real-time computer graphics |
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Zhibin (Alex) Li |
Control of complex behaviors for robots, eg humanoids, to achieve human-comparable ability to move and manipulate through control theories, optimization and machine learning. |
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Chris Xiaoxuan Lu | Mobile Robotics. Mixed Reality. Spatial AI under Low-visibility. Fog Robotics and Edge IoT. Human-robot Collaboration. Secure and Privacy-aware Autonomous Systems |
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Michael Mistry |
Dexterous motion, dynamics modelling, and control of physical interaction, for humans and robotic systems.
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Laura Sevilla-Lara |
Computer Vision, Motion Estimation, Temporal Modeling, Object Segmentation, Object Tracking, Deep Learning, Unsupervised Learning |
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Kartic Subr | Graphics, Stochastic sampling, signal processing and image manipulation |
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Steve Tonneau |
Humanoid/legged robotics; computer graphics; Motion planning; Optimal control |
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Amir Vaxman | Geometry processing, computer graphics, directional field processing, meshing, reconstruction in medical imaging, discrete differential geometry |
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Sethu Vijayakumar | Statistical Machine Learning for Robotics; Planning, Optimisation and Adaptive Control for Anthropomorphic (Humanoid) Platforms; Computational Motor Control; Rehabilitation Robotics |
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Barbara Webb | Perceptual systems for the control of behaviour, robot models of animals, simulation of neural circuits |
Honorary Staff
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Michael Burke | Robot learning and control, specifically in the development of probabilistic machine learning and computer vision tools for robotics applications |
Associate Academic Staff
| Tim Colles | Mobile robot programming languages |
| Alex Lascarides | Computational semantics, particularly discourse, conversation and gestures; learning strategies in complex games; learning to adapt to unforeseen possibilities |
| Oisin Mac Aodha |
Machine Learning, Computer Vision, and Computer-Assisted Teaching |
| Siddharth Narayanaswamy | |
| Kia Nazarpour | Neural Systems and Rehabilitation Engineering, Machine Learning for Health |
| Austin Tate | Planning and activity management, Human-robot collaboration, Emergency response, search and rescue |
| Chris Williams | Machine learning and computer vision |
| David Willshaw | Construction of networks of neurons and the computations performed by them |
Research Staff
| Matthias Applegreen | |
| Keyhan Babarahmati |
Safe and Compliant Human-Robot Interaction/Cooperation/Collaboration, Robot Manipulation, Tele-cooperation (Tele-(operation/manipulation) + Human-Robot Cooperation) |
| Mriganka Biswas | Development of methods and algorithms for the effective human-robot social interactions |
| Ignacio Carlucho | Robotics, reinforcement learning, multi-agent systems, ad hoc teamwork |
| Osmar Cedron | Deep reinforcement learning, computer vision, compositional robotics and theory of neural networks |
| Longfei Chen | Human behaviour analysis; Temporal modeling; Explainability; Visual sensing |
| Xin Du | Exceptional Model Mining, Causal Inference, Trustworthy ML, Geo-spatial Science |
| Evripidis Gkanias |
Bio-inspired artificial intelligence,Computational neuroethology, Computational modelling, Learning and memory, Insect-inspired navigation |
| Daniel Gordon | |
| Henry Gouk |
Optimisation and machine learning, robust deep learning, interpretable representation learning, computer vision |
| Craig Innes | |
| Aditya Kamireddypalli | |
| Florent Le Moel | |
| Yihe Lu | Associative learning and memory consolidation in the neural circuits in fruit fly's mushroom body |
| Mohammad Mohades Kasaei | Efficient machine learning for robotics including deep reinforcement learning and computer vision. |
| Joao Pousa de Moura | |
| Saeid Samadi | multi-contact motion planning and balance control of humanoid robots as a means of implementing challenging scenarios |
| Jaehyun Shim | |
| Mohamed Sorour | |
| Ruoshi Wen | Robotic grasping and manipulation, human robot interaction and collaboration, biomedical signal processing, tactile sensing, multi-modal perception, and machine learning |
PhD Research Students
| Yurdusev Yakup Akan | |
| Rana Alkhoury-Maroun | |
| Titas Anciukevicius | Generative Models, Machine Learning, Computer Vision, Computer Graphics |
| Panagiotis Eustratiadis | Deep reinforcement learning, adversarial robustness, explainable AI |
| Linxu Fan | Computer graphics, physical-based animation |
| Levi Fussell | |
| Boyan Gao | Meta-learning, machine learning |
| Evripidis Gkanias | |
| Arushi Goel | Vision and Language, Deep learning |
| Daniel Gordon | Optimisation-based design and control of exoskeletons |
| Jiacheng Gu | |
| Julian Habekost | |
| Anna Hadjitofi | Computational neuroscience, behaviour modelling, communication in insects, honeybees |
| Wenbin Hu | |
| Aditya Kamireddypalli | |
| Kiyoon Kim |
Video action recognition, efficient temporal modelling, disambiguation of video label space |
| Taha Kocyigit | |
| Weihong Li | Computer Vision and Machine Learning, with a focus on multi-task weakly/semi-supervised learning |
| Ran Long | |
| Emile Mackute | Machine Learning, Computer Vision, Medical Image Analysis, Surgical Robotics |
| Octave Mariotti | Computer vision, unsupervised learning and object pose estimation |
| Robert Mitchell | |
| John Pisokas | Bio-robotics, computational neuroscience, and modelling the insect brain |
| Aruna Raman | |
| Emily Rolley-Parnell | Robotic grasping, insect grasping, ant behaviour, ant behavioural modelling |
| Brian Seipp | |
| David Sinclair | |
| Stefanie Speichert | |
| Arturas Straizys |
Medical robotics, imitation learning, tactile sensing |
| Balint Thamo | |
| Eleftherios Triantafyllidis |
Human-Computer and Robot Interaction,Multimodal and Multisensory Integration,Immersive Technologies (VR/MR),Machine Learning for Robotics and Learning from Demonstration/Imitation |
| Jiayi Wang | Quadruped Locomotion |
| Wanming Yu |
Legged locomotion, deep reinforcement learning |
| He Zhang | Character Animation and Deep Learning |
| Xueting Zhang | |
| Bo Zhao | Machine learning, computer vision and efficient deep learning |
| Le Zhu | Memory and learning mechanisms in insect brains |
Administrative Staff
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Joanne Pennie | Portfolio Manager |
| Karolin Reh | Finance Administrator | |
| Jodie Cameron | Institute Administrative Assistant | |
| Stephanie Smith | Institute Administrator |
Business Development
| Cristian Novotny | Business Development Executive |
Technical Support
| Dave Hamilton | Superintendent |
| Garry Ellard | Electronic Technician |
| Douglas Howie | Technician |
| Gilbert Inkster | Electronic Technician |
| Tom Whigham | Technician |
Affiliates
| Anthony Ashbrook | 3D vision, statistical modelling of visual data, dynamic models |
| Richard Baldock | |
| Joanna Bryson | Agent architectures and action selection for real and virtual robots |
| John Hallam | Biorobotics, especially sensory biorobotic systems; user modelling in computer games; computational neuroscience and machine learning |
| Margarita Chli |
Computer Vision for Robotics |