People
Members of IPAB.
Director
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Subramanian Ramamoorthy | Autonomous robotics, Robot learning, Safe and explainable Artificial Intelligence |
Academic Staff
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Stefano 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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Vittorio Ferrari | Computer vision: weakly supervised learning of visual models, object class detection, learning from video, contextual scene understanding |
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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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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 |
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 |
| 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
| Henry Gouk |
Optimisation and machine learning, robust deep learning, interpretable representation learning, computer vision |
| Roman Goulard | |
| Vladimir Ivan | Motion planning, optimisation and machine learning |
| Xialei Liu | Computer vision, Lifelong/Continual learning, Self-supervised/Un-supervised learning, Multi-task learning, Metric learning, Network distillation, Active learning and GANs |
| Carlos Mastalli | |
| Christian Rauch | |
| Humanoid robot teleoperation, control and locomotion. Optimization and machine learning | |
| Simon Smith | Explainable artificial intelligence, model learning, intrinsic motivation, reinforcement learning, information theory and complex systems |
| Carlo Tiseo | |
| Guiyang Xin | Dynamics modeling and optimization-based control for legged robotics |
| Songyan Xin | |
| Lei Yan | multi-robot collaboration, dynamic object manipulation, model reference adaptive control |
PhD Research Students
| Yurdusev Yakup Akan | |
| Carl Allen | |
| Titas Anciukevicius | |
| Daniel Angelov | |
| Martin Asenov | |
| Ivana Balazevic | Representation learning, relational learning for knowledge graphs, multi-task learning |
| Ondrej Bohdal | Efficient meta-learning |
| Oguzhan Cebe | Optimal planning and control for legged robots |
| Iordanis Chatzinikolaidis | Optimisation, planning and control for legged robots |
| Hanz Cuevas Velasquez | 3D recognition and modeling, statistical machine learning and deep learning |
| Todor Davchev | Intersection of machine and robot learning |
| Lucas Deecke | Deep Learning, Computer Vision |
| Traiko Dinev | |
| Linus Ericsson | |
| Panagiotis Eustratiadis | Deep reinforcement learning, adversarial robustness, explainable AI |
| Linxu Fan | Computer graphics, physical-based animation |
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Robust end-pose planning on uneven and inclined surfaces |
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| Levi Fussell | |
| Boyan Gao | |
| James Garforth | Bio-inspired vision and navigation |
| Jack Geary | Autonomous Vehicular Control |
| Evripidis Gkanias | |
| Arushi Goel | |
| Daniel Gordon | Optimisation-based design and control of exoskeletons |
| Jiacheng Gu | |
| Julian Habekost | |
| Yordan Hristov | Using Embodied Interaction to Facilitate Symbol Grounding |
| Wenbin Hu | |
| Calum Imrie | Artificial Confidence in Robotics, Reaction-Diffusion in Swarms |
| Andrej Ivanis | |
| Jaques Miguel | |
| Marija Jegorova |
Multi-task and multi-domain learning, deep reinforcement learning |
| Alexandros Keros | |
| Kayoon Kim | |
| Rado Kirilchev | |
| Taha Kocyigit | |
| Keyhan Kouhkiloui Babarahmati | Dual-Arm Robot Control for Human-Robot Cooperative Manipulation |
| Daniel Layeghi | |
| Nanbo Li |
Generative spatial understanding and scene neural representation learning |
| Weihong Li | Computer Vision and Machine Learning, with a focus on multi-task weakly/semi-supervised learning |
| Ran Long | |
| Tatiana Lopez Guevara | |
| Billy Lyons | |
| Geng Lyu | Light field display, virtual reality |
| Emile Mackute | |
| Octave Mariotti | |
| Ian Mason | Machine Learning for Character Animation |
| Emmanuel Mbabazi | |
| Robert Mitchell | |
| Joao Moura | |
| Christopher Mower | |
| Christopher McGreavy | |
| John Pisokas | Bio-robotics, computational neuroscience, and modelling the insect brain |
| Emily Rolley-Parnell | Robotic grasping, insect grasping, ant behaviour, ant behavioural modelling |
| Brian Seipp | |
| David Sinclair | |
| Joshua Smith | |
| Stefanie Speichert | |
| Theodoros Stouraitis | |
| Arturas Straizys | |
| Balint Thamo | |
| Eleftherios Triantafyllidis | |
| Jiayi Wang | Quadruped Locomotion |
| Jack Wilkinson | |
| Wanming Yu | |
| Kai Yuan | |
| He Zhang | Character Animation and Deep Learning |
| Xueting Zhang | |
| Bo Zhao | Machine learning, computer vision and efficient deep learning |
| Chenyang Zhao |
Multi-task, transfer learning. Lifelong learning for robot control with reinforcement learning |
| Le Zhu |
Administrative Staff
| Joanne Pennie | Portfolio Manager |
| Anna Lantouri | 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 |
| Alex Lascarides |