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Subramanian Ramamoorthy
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Michael Burke
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Research Staff |
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Alumni
Postdoctoral Research Associates
- Dr. Craig Innes
- Dr. Xin Du
- Dr. Michael Burke
- Dr. Simón C. Smith
- Dr. Aciel Eshky
- Dr. M.M. Hassan Mahmud
- Dr. Matteo Leonetti
PhD students
-
Dr. Artūras Straižys (2024) - Learning robotic cutting of viscoelastic objects from demonstration using force sensing.
(First position after PhD: Senior Systems Engineer at Trig Avionics Ltd.) -
Dr. Todor Davchev (2022) - Structured machine learning models for robustness against different factors of variability in robot control
(First Position after PhD: Research Scientist at DeepMind) -
Dr. Martin Asenov (2022) - Architectures for online simulation-based inference applied to robot motion planning
(First Position after PhD: Machine Learning Engineer at Hyperscience) -
Dr. Daniel Angelov (2021) - Composing diverse policies for long horizon tasks
(First Position after PhD: Co-founder and CTO at Efemarai) -
Dr. Emmanuel Kahembwe (2021) - Efficient methods and architectures for deep neural network sequence models
(First Position after PhD: CEO, VDE UK Ltd.)
-
Dr. Yordan Hristov (2021) - Interactive robot learning with human alignment
(First Position after PhD: Postdoctoral Research Associate, School of Informatics, University of Edinburgh - NPL Metrology Fellowship)
(Current Position: Postdoctoral Researcher, Facebook AI Applied Research) -
Dr. Svetlin V Penkov (2019) - Learning structured task related abstractions
(First Position after PhD: Research Scientist at FiveAI)
(Current Position: Co-founder and CEO at Efemarai) -
Dr. Pavlos Andreadis (2018) - Coarse Preferences: Representations, Elicitation, and Decision Making
(First Position after PhD: University Teacher in Informatics, University of Edinburgh)
(Current Position: Teacher in Informatics, The University of Edinburgh) -
Dr. Alejandro Bordallo (2017) - Intention Prediction for Interactive Navigation in Distributed Robotic Systems
(First Position after PhD: Chief Robotics Officer at Robotical Ltd.)
(Current Position: Director of Motion Planning and Prediction, FiveAI) -
Dr. Stefano Albrecht (2015) - Utilising policy types for effective ad hoc coordination in multiagent systems
(First Position after PhD: Postdoctoral Research Associate, Learning Agents Research Group (LARG), The University of Texas at Austin)
(Current Position: Lecturer, School of Informatics, University of Edinburgh) -
Dr. Efstathios Vafeias (2015) - Recognising activities by jointly modelling actions and their effects
(First Position after PhD: Research Engineer, Toshiba Medical Visualization Systems Europe - Edinburgh) (Current Position: Machine Learning Enginer, Stripe) -
Dr. Majd Hawasly (2014) - Policy space abstraction
for a lifelong learning agent
(First Position after PhD: Research Fellow, School of Computing, The University of Leeds)
(Current Position: Senior Research Scientist, FiveAI) -
Dr. Benjamin Rosman
(2014) - Learning domain abstractions for long lived
robots
(First Position after PhD: Research Scientist, Mobile Intelligent Autonomous Systems Group , The Council for Scientific and Industrial Research (CSIR) - South Africa)
(Current Position: Associate Professor, University of the Witwatersrand) -
Dr. Aris Valtazanos
(2013) - Decision shaping and strategy learning in
multi-robot interactions
(First Position after PhD: Postdoctoral Research Associate, Institute for Language, Cognition and Computation , School of Informatics, The University of Edinburgh)
(Current Position: Chief Scientist, WovenLight) - Dr. Thomas Larkworthy
(2012) - Motion planning for
self-reconfiguring robots
(First Position after PhD: Postdoctoral Research Associate, Ocean Systems Laboratory, Heriot-Watt University)
(Current Position: Founder and self-employed, Ex-Firebase, Ex-Google Cloud) -
Dr. Ioannis Havoutis
(2012) - Motion planning and
reactive control on learnt skill manifolds
(First Position after PhD: Postdoctoral Research Associate, Dept. of Advanced Robotics, Italian Institute of Technology)
(Current Position: Departmental Lecturer, Oxford Robotics Institute, University of Oxford)
MPhil students
- Jack Geary (2021) - Resolving conflict in decision-making for autonomous driving
MSc by Research students
- Quanyi Li (2023) - Full-sensor autonomous vehicle falsification via compositional adaptive sampling
- Aditya Kamireddypalli (2021) - Physics based parameter estimation of deformable material using robotic indentation primitives
- Carson Vogt (2015) - Wind flow sampling using an autonomous UAV
MSc students
- Nathaniel Hey (2023) - Identification of highly boosted H–>yy decays with the ATLAS detector using deep neural networks
- Ana Deligny (2022) - Learning to manipulate unknown objects with underactuated robots
- Zhe Hua (2022) - Learning motion primitives from human tool-using behaviours
- Cesar Ochoa (2022) - Evaluating the Vision Checklist in a clinical context
- Sijie Li (2020) - Object classification using proprioceptive force and proximity information for upper limb prostheses
- Nevena Blagoeva (2019) - Adversarial attacks in the closed loop settings of Deep Reinforcement Learning
- Mounika Gurram (2019) - Vision-based surgical skill assessment in laproscopic training on eoSurgical simulator using deep learning
- Katie Lu (2019) - Active viewpoint selection for 3D reconstruction with space carving
- Qihao Shan (2019) - Improving motion plans using expert guided value functions
- Arturas Straizys (2019) - Deformable object manipulation using force feedback
- Mike Woodcock Calvache (2019) - Hierarchical Reinforcement Learning for robustness, performance and explainability
- David A. Wagner (2018) - Policy interpretability via approximate influence functions
- Adeel Mufti (2018) - Probabilistic model-based Reinforcement Learning using the Differentiable Neural Computer
- Sumedh Ghaisas (2017) - Learning framework for general game playing
- Jack Geary (2017) - Learning and interactive decision making for human-robot coordination
- Martin Asenov (2017) - Active sensing of spatiotemporal phenomena with a UAV
- Faiz Mirza (2017) - Visual prediction from active manipulation with a UR-10 robotic arm
- Arnav Varma (2017) - Multi-camera array calibration and predictive camera selection
- Daniel Angelov (2016) - Physical scene understanding through active manipulation
- Tanya Soni (2016) - Multi-camera array calibration and predictive camera selection
- Emmanuel M. Kahembwe (2015) - Planning coordinated actions with trajectory clusters
- James Ganis (2015) - Parallel adaptive sampling for particle filters
- Jorge Salamanca (2015) - Empirical evaluation of properties of a model for learning to interact
- Alexandre Silva (2015) - Mobile manipulation with a Kuka YouBot
- Federico Boniardi (2014) - Robot navigation in crowded environments
- Svetlin Penkov (2014) - Event related potentials in the electroencephalogram for human-robot interaction [Informatics Class Prize for Top Performance in Neuroinformatics and Computational Neuroscience MSc by Research]
- Kshitij Tiwari (2014) - Co-operative manipulation with robots
- Demetris Kolanis (2013) - Learning to adapt robotic interfaces
- Yu Li (2013) - Learning to adapt robotic interfaces
- Aniket Sanyal (2013) - Categorizing behaviour profiles using topological data analysis
- Stavros Gerakaris (2012) - A graph theoretical approach to coordination of ad hoc agent teams
- Jaymin Daniel Mankowitz (2012) - BRISK-based visual landmark localisation using Nao humanoid robots
- Andrew Robinson (2012) - Searching for evidence of phase transitions in problem solving in humans, MResthesis
- Nikolaos Tsiogkas (2012) - Ad hoc multi-robot teams in dynamic environments
- Zheng Wu (2012) - Pose tracking on the Nao robots
- Stefano Albrecht (2011) - Comparison of multiagent learning algorithms in ad hoc teams
- Jayant Bansal (2011) - Multi-robot control with topology specifications: An empirical study
- Nicholas Birnie (2011) - Multiagent sequential decision making in nonstationary environments
- Anthony Cruickshank (2011) - The behaviour of an artificial market with adaptive agents under different conditions
- Alesis Novik (2011) - Regime switching models for markets
- Andrew Robinson (2011) - Achievement of global shapes through local goals in reconfigurable robotics
- Thomas Joyce (2010), Low level embodied mathematical cognition and the beginnings of representation (Co-supervised with Alison Pease and Alan Smaill)
- Jonathan Millin (2010) - In search of structure: Unsupervised learning in foreign exchange
- Sheng Qin (2010) - Regime switching portfolio allocation algorithm
- Alex Svanevik
(2010), The role
of metaphor and
embodiment in the
development of
mathematical concepts: A
computational approach
(Co-supervised with Alison Pease and Alan
Smaill)
[Informatics Prize for Outstanding MSc Project] - Efstathios Vafeias (2010) - Where is my humanoid? Vision-based localization
- Benjamin Saul Rosman (2009)
- Game
theoretic
procedures for
learning
structured
strategies from
demonstration
[Jim Howe Prize for Outstanding MSc (Artificial Intelligence) Student] - Richard Clossick (2008) - Learning a template based running strategy for a humanoid robot
- Thomas George Elder (2008)
- Creating
algorithmic
traders with
hierarchical
reinforcement
learning
[Informatics Prize for Outstanding MSc (Computer Science) Student] - Sandhya Prabhakaran (2008)
- Multi-scale,
reactive motion
planning with
deformable linear
objects
Short video describing this work.
UG/MInf students
- Matthew Whyte (2022) - Perception-based control for aggressive driving in formula student competition
- Frazer McIntosh (2018) - Recording a 3D scene using a mobile device and making measurements on recorded features
- Nantas Nardelli (2016) - StarCraft: Brood War as an agent learning platform
- Paul Harris (2015) - A gesture-based interface for exploring simulations in virtual reality
- Borislav Ikonomov (2015) - Brain-computer interface for modulating human-robot interaction
- Peter MacGregor (2015) - Calibration-free brain-computer interface
- Moataz Elmasry (2014) - A study of trading agents for TAC Ad Exchange
- Jack Pimbert (2014) - A multiagent poker player for No Limit Texas Holdem
- Christian Pelissier (2013) - A No Limit Texas Hold'em agent emphasizing individual player exploitation
- Flavius Popescu (2013) - Coordination mechanisms for multi-robot systems in uncertain environments
- Sean Wilson (2013) - Learning to improve kicking motions on the Nao robot
- Petar Valentinov Ivanov (2012) - Self-localization using Extended Kalman Filter and Multi-hypothesis EKF
- Seyed Behzad Tabibian (2012) - Games robots play: Coordination mechanisms for multi-robot systems in uncertain environments
- Daniel Wren (2012) - Automatic colour calibration using multiple views
- Georgi Gochev (2011) - Skill learning from interactions with multiple opponents
- Seyed Mohammadali Eslami (2009) - Evolving robust
control strategies for a simulated robot
[Jim Howe Prize (AI UG) and B.Eng.(AI & SE) Class Medal] - Jay Kotak (2009) - Visual tracking and data acquisition system for team sports
Visitors
-
Dr.
Esra Erdem (2019) - SICSA Distinguished Visiting Fellow
(on sabbatical from Faculty of Engineering and Natural Sciences, Sabanci University, Turkey) -
Dr.
Volkan Patoğlu (2019) - Visiting Fellow
(on sabbatical from Faculty of Engineering and Natural Sciences, Sabanci University, Turkey) -
Daniel Zwilling (2015) - Multi-robot motion planning with YouBots
(from FH Aachen - Aachen University of Applied Sciences) -
Fabio
Previtali (2014) - Distributed sensor network
for multi-robot surveillance
(from Dipartimento di Informatica e Sistemistica, Sapienza Università di Roma) - Gwendolijn Schropp (2013/14) - Behaviour modelling and plan recognition for ad hoc player/coach in RoboCup SPL (MSc research student from Information and Computing Sciences, Utrecht University)
-
Dr.
Matteo Leonetti (2010 - 2012) - Planning and
learning in non-Markovian domains
(from Dipartimento di Informatica e Sistemistica, Sapienza Università di Roma) -
Thomas McGuire (2010/11) - Real time vision and
localization for the Nao humanoid robot
(from Universität Siegen, Germany)