Jeremy Wyatt

Professor of Robotics and Artificial Intelligence
Intelligent Robotics Laboratory
Centre for Computational Neuroscience and Cognitive Robotics
School of Computer Science
University of Birmingham
Edgbaston
Birmingham
B15 2TT
+44 (0)121 414 4788
+44 (0)121 414 4281 (fax)
+44 (0)121 415 8722 (Claire Benson, IRLab Administrator)
Email for Claire Benson: irlabpa @ cs.bham.ac.uk)
Email for teaching and admin: jlw @ cs.bham.ac.uk
Email for research only
Picture of Me

News

We have just finished our first year of work on our FP7 project PacMan on robot manipulation of objects.

Have a look at our video on learning dextrous grasps that are transferable to novel objects (ICRA 2014), and also a video of our work on planning active information gathering during grasping (IROS 2013).

I recently appeared on Business Daily on the BBC World Service, talking about robotics.

A new paper on visual gaze control for manipulation with Jose Nunez-Varela has just come out in ACM Transactions in Applied Perception. Well done Jose!

I'm involved in the STRANDS project on spatio-temporal representations in long term robotics, led by Nick Hawes.

Have a look at our 2011 video (IJCAI 11 video finalist) on probabilistic planning in robot object search here. This was joint work with other labs in the CogX project in which we showed how a robot can make search much faster and more reliable by incorporating commonsense knowledge about the world, and reasoning explicitly about its uncertainty about the state of the world, and how that can change.

Research Interests

I'm interested in a number of problems, all of which are motivated by the same scientific goal: studying general architectures and methods for learning and reasoning in autonomous agents, especially those with bodies. My interests are broad. I have worked on the exploration-exploitation problem in reinforcement learning, the problem of managing diversity in committees of learning machines, cognitive architectures for intelligent robotics, learning of predictions in robot manipulation, planning and learning of information gathering strategies in robots (e.g. in AUVs, in processing of images, in gaze control, or in object search), and on the use of physics knowledge in prediction and estimation in vision. There are relevant publications on these topics and many others below. My current interests are all based around the need for robots to understand their surroundings, and to be able to extend that understanding by themselves, and with others.

I am a member of the Intelligent Robotics Laboratory. The lab has about twenty five researchers. I'm also the Project Coordinator for the FP7 funded project PacMan. My funders include, or have included: the European Commission, EPSRC, NERC, the Royal Society, the Leverhulme Trust, The British Council, the Department of Trade and Industry, and AWM. Thanks to all of them for the generous support they provide.

Publications



2013

  1 [nunez-wyatt-acmtap13] Jose Nunez and Jeremy L Wyatt. Models of Gaze Control for Manipulation Tasks. ACM Transactions on Applied Perception, 10(4), pages Article 20. October 2013. [pdf] [bib]
  2 [rietzler-iros13-workshop] Rietzler, Alexander, Detry, Renaud, Kopicki, Marek, Wyatt, Jeremy L and Piater, Justus. Inertially-safe Grasping of Novel Objects. In . 2013. [pdf] [bib]
  3 [zitoetal-rss13-workshop] Zito, Claudio, Kopicki, Marek, Stolkin, Rustam and Wyatt, Jeremy L. Sequential Re-planning for Dextrous Grasping Under Object-pose Uncertainty. In RSS 2013 Workshop: Manipulation with Uncertain Models. 2013. [pdf] [bib]
  4 [zitoetal-iros13] Zito, Claudio, Kopicki, Marek, Stolkin, Rustam, Borst, Christoph,, Schmidt, Florian,, Roa, Maximo, and Wyatt, Jeremy L. Sequential Trajectory Re-planning with Tactile Information Gain for Dexterous Grasping under Object Pose Uncertainty. In Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on, IEEE. 2013. [pdf] [bib]

2012

  5 [nunezetal-icra12] Nunez-Varela, Jose, Ravindran, B and Wyatt, Jeremy L. Where Do I Look Now? Gaze Allocation During Visually Guided Manipulation. In IEEE ICRA, IEEE. 2012. [pdf] [bib]
  6 [zitoetal-iros12] Zito, Claudio, Stolkin, Rustam, Kopicki, Marek and Wyatt, Jeremy L. Two-level RRT planning for robotic push manipulation. In Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on, pages 678--685, IEEE. 2012. [pdf] [bib]
  7 [schofieldetal-perception12] Schofield, A, Jiang, X, Sun, P, Georgeson, M and Wyatt, J. Using texture cues to separate illumination and reflectance changes in human and machine vision. In PERCEPTION, pages 375--375, PION LTD 207 BRONDESBURY PARK, LONDON NW2 5JN, ENGLAND. 2012.
  8 [nunez-wyatt-perception12] Varela, JI and Wyatt, JL. Gaze allocation during visually guided manipulation. In PERCEPTION, pages 1270--1270, PION LTD 207 BRONDESBURY PARK, LONDON NW2 5JN, ENGLAND. 2012.
  9 [dilucaetal-perception12] Di Luca, M, Vivian-Griffiths, TE, Wyatt, JL and Zito, C. Grasping a Shape with Uncertain Location. In PERCEPTION, pages 253--253. 2012. [bib]

2011

  10 [hanheideetal2011dora] Marc Hanheide, Charles Gretton, Richard Dearden, Nick Hawes, Jeremy L. Wyatt, Andrzej Pronobis, Alper Aydemir, Moritz Golbelbecker and Hendrik Zender. Exploiting probabilistic knowledge under uncertain sensing for efficient robot behaviour. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI'11). July 2011. [pdf] [bib]
  11 [damien_jade_duff_physical_2011] Damien Jade Duff, Thomas Morwald, Rustam Stolkin and Jeremy Wyatt. Physical simulation for monocular 3D model based tracking. In IEEE International Conference on Robotics and Automation (ICRA), IEEE. May 2011. [pdf] [bib]
  12 [kopicki2011icra] Kopicki, M., Zurek, S., Stolkin, R., Morwald, T. and Wyatt, J.. Learning to predict how rigid objects behave under simple manipulation. In Robotics and Automation (ICRA), 2011 IEEE International Conference on, pages 5722--5729, IEEE. 2011. [pdf]
  13 [wyatt2011dagstuhlreport] Wyatt, J.L., Dayan, P., Leonardis, A. and Peters, J.. Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131). Dagstuhl Reports, 1, pages 67--95, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. 2011. [pdf]
  14 [morwald2011icra] Morwald, T., Kopicki, M., Stolkin, R., Wyatt, J., Zurek, S., Zillich, M. and Vincze, M.. Predicting the unobservable Visual 3D tracking with a probabilistic motion model. In Robotics and Automation (ICRA), 2011 IEEE International Conference on, pages 1849--1855, IEEE. 2011. [pdf]
  15 [arriola2011sgai] Arriola-Rios, V.E. and Wyatt, J.. 2D Mass-spring-like Model for Prediction of a Sponge's Behaviour upon Robotic Interaction. In Research and Development in Intelligent Systems XXVIII: Incorporating Applications and Innovations in Intelligent Systems XIX: Proceedings of Ai-2011, the Thirty-first SGAI International Conference, pages 195--208, Springer-Verlag New York Inc. 2011. [pdf]
  16 [jiang-schofield-wyatt-bmvc11] Jiang, Xiaoyue, Schofield, Andrew J and Wyatt, Jeremy L. Shadow Detection based on Colour Segmentation and Estimated Illumination. In Proceedings of the 22nd British Machine Vision Conference, pages 87--1, BMVA Press. 2011. [pdf] [bib]

2010

  17 [wyattetal2010tamd] Jeremy L. Wyatt, Alper Aydemir, Michael Brenner, Marc Hanheide, Nick Hawes, Patric Jensfelt, Matej Kristan, Geert-Jan M. Kruijff, Pierre Lison, Andrzej Pronobis, Kristoffer Sj. Self-Understanding and Self-Extension: A Systems and Representational Approach. IEEE Transactions on Autonomous Mental Development, 2(4), pages 282 -- 303. December 2010. [pdf] [bib]
  18 [Saigol2010] Zeyn A. Saigol, Richard W. Dearden, Jeremy L. Wyatt and Bramley J. Murton. Belief Change Maximisation for Hydrothermal Vent Hunting Using Occupancy Grids. In Tony Belpaeme and Guido Bugmann and Chris Melhuish and Mark Witkowski (editors) Proceedings of the Eleventh Towards Autonomous Robotic Systems (TAROS-10), pages 247--254, University of Plymouth. August 2010. [pdf] [bib]
  19 [hanheideetal10motivation] Marc Hanheide, Nick Hawes, Jeremy Wyatt, Moritz Gobelbecker, Michael Brenner, Kristoffer Sjoo, Alper Aydemir, Patric Jensfelt, Hendrik Zender and Geert-Jan M. Kruijff. A Framework for Goal Generation and Management. In Proceedings of the AAAI Workshop on Goal-Directed Autonomy. July 2010. [pdf] [bib]
  20 [sridharanetal2010] Sridharan, Mohan, Wyatt, Jeremy and Dearden, Richard. Planning to see: A hierarchical approach to planning visual actions on a robot using POMDPs. Artif. Intell., 174, pages 704--725, Elsevier Science Publishers Ltd.. July 2010. [bib]
  21 [damien_jade_duff_motion_2010] Damien Jade Duff, Jeremy Wyatt and Rustam Stolkin. Motion Estimation Using Physical Simulation. In IEEE International Conference on Robotics and Automation (ICRA), pages 1511--1517, IEEE. May 2010. [pdf] [bib]
  22 [Skocaj_etal_2010_cosybook] Danijel Skocaj, Matej Kristan, Alen Vrecko, Ales Leonardis, Mario Fritz, Michael Stark, Bernt Schiele, Somboon Hongeng and Jeremy L. Wyatt. Multi-modal Learning. In Henrik I. Christensen and Geert-Jan M. Kruijff and Jeremy L. Wyatt (editors) Cognitive Systems, volume 8 of Cognitive Systems Monographs, pages 265--309, Springer Berlin Heidelberg. April 2010. [bib]
  23 [Christensen_etal_2010_cosybook] Henrik I. Christensen and Geert-Jan M. Kruijff and Jeremy L. Wyatt (editors) Cognitive Systems. Volume 8 of Cognitive Systems Monographs. Springer Berlin Heidelberg. April 2010. [bib]
  24 [Hawes_etal_2010_cosybook_p] Nick Hawes, Jeremy L. Wyatt, Mohan Sridharan, Marek Kopicki, Somboon Hongeng, Ian Calvert, Aaron Sloman, Geert-Jan Kruijff, Henrik Jacobsson, Michael Brenner, Danijel Skocaj, Alen Vrecko, Nikodem Majer and Michael Zillich. The PlayMate System. In Henrik I. Christensen and Geert-Jan M. Kruijff and Jeremy L. Wyatt (editors) Cognitive Systems, volume 8 of Cognitive Systems Monographs, pages 367--393, Springer Berlin Heidelberg. April 2010. [bib]
  25 [Hawes_etal_2010_cosybook_a] Nick Hawes, Jeremy L. Wyatt, Mohan Sridharan, Henrik Jacobsson, Richard Dearden, Aaron Sloman and Geert-Jan Kruijff. Architecture and Representations. In Henrik I. Christensen and Geert-Jan M. Kruijff and Jeremy L. Wyatt (editors) Cognitive Systems, volume 8 of Cognitive Systems Monographs, pages 51--93, Springer Berlin Heidelberg. April 2010. [bib]
  26 [haweswyatt09aei] Nick Hawes and Jeremy Wyatt. Engineering Intelligent Information-Processing Systems with CAST. Advanced Engineering Infomatics, 24(1), pages 27 - 39, Elsevier. January 2010. [pdf] [bib]
  27 [jiang2010layer] Jiang, X., Schofield, AJ and Wyatt, JL. Layer segmentation using hue, texture and luminance amplitude in a steerable filter framework. Perception: ECVP Abstract Supplement, 39, pages 46, Pion. 2010.
  28 [demery2010aisb] Demery, Z., Rios, V.E.A., Sloman, A., Wyatt, J. and Chappell, J.. Construct to Understand: Learning through Exploration. In Proceedings of the International Symposium on AI-Inspired Biology, Jackie Chappell, Susannah Thorpe, Nick Hawes and Aaron Sloman (Eds.), at the AISB 2010 convention, 29 March -- 1 April 2010, De Montfort University, Leicester, UK, AISB. 2010. [pdf]
  29 [saigol2010ieeeauv] Saigol, Z., Py, F., Rajan, K., McGann, C., Wyatt, J. and Dearden, R.. Randomized testing for robotic plan execution for autonomous systems. In Autonomous Underwater Vehicles (AUV), 2010 IEEE/OES, pages 1--9, IEEE. 2010. [pdf]
  30 [jiang2010eccv-supplementary] Jiang, X., Schofield, A.J. and Wyatt, J.L.. Correlation-based Intrinsic Image Extraction from a Single Image: Supplement. In ECCV, pages Supplementary--material, Springer. 2010. [pdf]
  31 [jiang2010eccv] Jiang, X., Schofield, A. and Wyatt, J.. Correlation-based intrinsic image extraction from a single image. Computer Vision--ECCV 2010, pages 58--71, Springer. 2010. [pdf]

2009

  32 [hawesetal08kbs] Nick Hawes, Jeremy Wyatt and Aaron Sloman. Exploring Design Space For An Integrated Intelligent System. Knowledge-Based Systems, 22(7), pages 509--515, Elsevier. Published as a best paper from Artificial Intelligence 2008 (AI-2008), The twenty-eighth SGAI International Conference on Artificial Intelligence. September 2009. [pdf] [bib]
  33 [saigoletal2009tr] Zeyn A. Saigol, Richard W. Dearden, Jeremy L. Wyatt and Bramley J. Murton. Information-Lookahead Planning for AUV Mapping. Technical report CSR-09-01, School of Computer Science, University of Birmingham. April 2009. [bib]
  34 [saigoletal2009ijcai] Zeyn A. Saigol, Richard W. Dearden, Jeremy L. Wyatt and Bramley J. Murton. Information-Lookahead Planning for AUV Mapping. In Proceedings of the Twenty-first International Joint Conference on Artificial Intelligence (IJCAI-09). 2009. [pdf] [bib]
  35 [welsh2009nipsworkshop] Welsh, N. and Wyatt, J.. Building Graph Structures from the Beta Process. In Workshop on Non-Parametric Bayes, held at Advances in Neural Information Processing Systems 23. 2009. [pdf]

2008

  36 [hawesetal08ai] Nick Hawes, Jeremy Wyatt and Aaron Sloman. Exploring Design Space For An Integrated Intelligent System. In Proceedings of the Twenty-Eighth SGAI International Conference on Artificial Intelligence (AI-2008). To appear. December 2008. [pdf] [bib]
  37 [sridharanetal08ehippo] Mohan Sridharan, Richard Dearden and Jeremy Wyatt . E-HiPPo: Extensions to Hierarchical POMDP-based Visual Planning on a Robot. In The 27th PlanSIG Workshop. December 2008. [pdf] [bib]
  38 [wyatthawes08bica] Jeremy Wyatt and Nick Hawes. Multiple Workspaces as an Architecture for Cognition. In Biologically Inspired Cognitive Architectures: Papers from the 2008 AAAI Fall Symposium. To appear. November 2008. [pdf] [bib]
  39 [sridharanetal08hippo] Mohan Sridharan, Jeremy Wyatt and Richard Dearden. HiPPo: Hierarchical POMDPs for Planning Information Processing and Sensing Actions on a Robot. In International Conference on Automated Planning and Scheduling (ICAPS). September 2008. [pdf] [bib]
  40 [haweswyatt08b] Nick Hawes and Jeremy Wyatt. Developing Intelligent Robots with CAST. In Martin Hulse and Manfred Hild (editors) IROS Workshop on current software frameworks in cognitive robotics integrating different computational paradigms. Invited talk. September 2008. [pdf] [bib]
  41 [haweswyatt08benchmarking] Nick Hawes and Jeremy Wyatt. Benchmarking The Influence of Information-Processing Architectures on Intelligent Systems. In Fabio Bonsignorio, John Hallam and Angel P. del Pobil (editors) Proceedings of the Robotics: Science & Systems 2008 Workshop: Experimental Methodology and Benchmarking in Robotics Research. June 2008. [pdf] [bib]
  42 [jacobssonetal2008hri] Henrik Jacobsson, Nick Hawes, Geert-Jan Kruijff and Jeremy Wyatt. Crossmodal Content Binding in Information-Processing Architectures. In Proceedings of the 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI '08), pages 81--88, ACM. March 2008. [pdf] [bib]

2007

  43 [jacobssonetal07binding] Henrik Jacobsson, Nick Hawes, Geert-Jan Kruijff and Jeremy Wyatt. Crossmodal Content Binding in Information-Processing Architectures Architectures. In Luis Seabra Lopes, Tony Belpaeme and Stephen J, Cowley (editors) Symposium on Language and Robots 2007 (LangRo 2007), pages 43--52. Deprecated! Please see the HRI paper of the same name instead. December 2007. [pdf] [bib]
  44 [sridharanetal07] Mohan Sridharan, Nick Hawes, Jeremy Wyatt, Richard Dearden and Aaron Sloman. Planning Information Processing and Sensing Actions. Technical report COSY-TR-0706, University of Birmingham, School of Computer Science. November 2007. [pdf] [bib]
  45 [hawesetal07cast] Nick Hawes, Michael Zillich and Jeremy Wyatt. BALT & CAST: Middleware for Cognitive Robotics. In The 16th IEEE International Symposium on Robot and Human interactive Communication (RO-MAN 2007), pages 998 -- 1003, IEEE. August 2007. [pdf] [bib]
  46 [hawesetal07eai] Nick Hawes, Aaron Sloman and Jeremy Wyatt. Towards an Empirical Exploration of Design Space. In Gal A. Kaminka and Catherina R. Burghart (editors) Evaluating Architectures for Intelligence: Papers from the 2007 AAAI Workshop, pages 31 -- 35, AAAI Press. Technical Report WS-07-04. July 2007. [pdf] [bib]
  47 [hawesetal07playmate] Nick Hawes, Aaron Sloman, Jeremy Wyatt, Michael Zillich, Henrik Jacobsson, Geert-Jan Kruijff, Michael Brenner, Gregor Berginc, Danijel Skocaj . Towards an Integrated Robot with Multiple Cognitive Functions. In Robert C. Holte and Adele Howe (editors) Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence (AAAI 2008), pages 1548 -- 1553, AAAI Press. July 2007. [pdf] [bib]
  48 [hawesetal07balt] Nick Hawes, Michael Zillich and Jeremy Wyatt. BALT & CAST: Middleware for Cognitive Robotics. Technical report CSR-07-1, University of Birmingham, School of Computer Science. April 2007. [pdf] [bib]
  49 [brenneretal07ijcai] Michael Brenner, Nick Hawes, John Kelleher and Jeremy Wyatt. Mediating Between Qualitative and Quantitative Representations for Task-Orientated Human-Robot Interaction. In Manuela M. Veloso (editor) IJCAI 2007, Proceedings of the 20th International Joint Conference on Artificial Intelligence, pages 2072-2077. January 2007. [pdf] [bib]
  50 [deardenetal2007] Richard W. Dearden, Zeyn A. Saigol, Jeremy L. Wyatt and Bramley J. Murton. Planning for AUVs: Dealing with a Continuous Partially-Observable Environment. In Workshop on Planning and Plan Execution for Real-World Systems, 17th International Conference on Automated Planning & Scheduling. 2007. [pdf] [bib]

2006

  51 [hongengwyatt06humanoids] S. Hongeng and J. L. Wyatt. Learning Causality and Intention in Human Actions. In Proceedings of the 6th IEEE-RAS International Conference of Humanoid Robots, IEEE Robotics and Automation , IEEE. December 2006.
  52 [SunmolaWyatt06a] Funlade Sunmola and Jeremy Wyatt. Model Transfer for Markov Decision Tasks via Parameter Matching. In Proceedings of the 25th Workshop of the UK Planning and Scheduling Special Interest Group (PlanSIG 2006). December 2006. [pdf]
  53 [hawesetal06cosy] Nick Hawes, Jeremy Wyatt and Aaron Sloman. An Architecture Schema for Embodied Cognitive Systems. Technical report CSR-06-12, University of Birmingham, School of Computer Science. Submitted for project review as part of CoSy deliverable DR.1.2. November 2006. [pdf] [bib]
  54 [slomanetal06cogrob] Aaron Sloman, Jeremy Wyatt, Nick Hawes, Jackie Chappell and Geert-Jan Kruijff. Long Term Requirements for Cognitive Robotics. In Michael Beetz, Kanna Rajan, Michael Thielscher, and Radu Bogdan Rusu (editors) Cognitive Robotics: Papers from the 2006 AAAI Workshop, pages 143--150, AAAI Press. Technical Report WS-06-03. July 2006. [pdf] [bib]
  55 [haweswyatt06] Nick Hawes and Jeremy Wyatt. Towards Context-Sensitive Visual Attention. In Markus Vincze and Lucas Paletta (editors) Proceedings of the Second International Cognitive Vision Workshop (ICVW 2006). May 2006. [pdf] [bib]
  56 [matsumuraetal06] Y. Matsumura, Y. Murayama, N.Fujimoto, K. Hagihara, J. Wyatt and X. Yao. Evolutionary Strategies in a Local Desktop Grid Environment Using Task Scheduling Algorithms. In . 2006. [bib]
  57 [sunmolawyatt06] F. Sunmola and J. Wyatt. Bayesian Inference in Constrained Parameter Markov Decision Processes with Uncertain Transition Probabilities. In Proceedings of the ECAI 2006 Workshop on Planning, Learning and Monitoring with Uncertainty and Dynamic Worlds. 2006. [bib]

2005

  58 [brownwyatt05extremes] G. Brown, J. Wyatt and P. Sun. Between Two Extremes: Examining Decompositions of the Ensemble Objective Function. In Proc. Int. Workshop on Multiple Classifier Systems (LNCS 3541), Springer. June 2005. [pdf] [bib]
  59 [brown04survey] G. Brown, J. Wyatt, R. Harris and X. Yao. Diversity Creation Methods: A Survey and Categorisation. Journal of Information Fusion, 6(1), pages 5--20. March 2005. [pdf] [bib]
  60 [brownwyatt05jmlr] G. Brown, J. Wyatt and P. Tino. Managing Diversity in Regression Ensembles. Journal of Machine Learning Research, 6. 2005. [pdf] [bib]
  61 [wyatt05ijcai] J. Wyatt. Planning clarification questions to resolve ambiguous references to objects. In Proceedings of the 4th Workshop on Knowledge and Reasoning in Practical Dialogue Systems, held at IJCAI 05. 2005. [pdf] [bib]
  62 [sunmolawyatt05] F. Sunmola and J. Wyatt. Reinforcement Learning using Optimistic Process Filtered Models. In Proceedings of Benelearn'05. 2005. [pdf] [bib]
  63 [wyatt05overview] J. Wyatt. Reinforcement Learning: A Brief Overview. In L. Bull and T. Kovacs (editors) Foundations of Learning Classifier Systems, Springer. 2005. [pdf] [bib]

2004

  64 [wyatt05teams] J. Wyatt, Y. Matsumura and M. Todd. Learning in Robot Teams. In Natalie Gold (editor) Teamwork: Multi-Disciplinary Perspectives, pages 236-251, Palgrave McMillan. 2004. [bib]
  65 [matsumuraetal04b] Y. Matsumura, N. Fujimoto, X. Yao, J.L. Wyatt and K.Hagihara. Evolution Strategies on Grid Computing. In China-Japan Joint Conference on Mechatronics (CJCM), CJ-H2, pages 105--106. 2004. [bib]
  66 [ritthipravatetal04] Panrasee Ritthipravat, Thavida Maneewarn, Djitt Laowattana and Jeremy Wyatt. A Modified Approach to Fuzzy Q Learning for Mobile Robots. In Proceedings of IEEE SMC 2004, International Conference on Systems, Man and Cybernetics, pages 2350--2356. 2004. [bib]
  67 [matsumuraetal04a] Y. Matsumura, N. Fujimoto, X. Yao, J.L. Wyatt and K.Hagihara. Near-Optimal Dynamic Grid Task Scheduling of Evolution Strategies. In 4th International Conference on Advanced Mechatronics (ICAM 04), pages 175--180. 2004. [bib]

2003

  68 [brownwyatt03ambiguity] G. Brown and J. Wyatt. The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods. In T. Fawcett and N. Mishra (editors) 20th International Conference on Machine Learning (ICML'03). August 2003. [ps.gz] [pdf] [bib]
  69 [brownwyatt03mcs] G. Brown and J. Wyatt. Negative Correlation Learning and the Ambiguity Family of Ensemble Methods. In Proc. Int. Workshop on Multiple Classifier Systems (LNCS 2709), pages 266-275, Springer. June 2003. [ps.gz] [pdf] [bib]
  70 [sunmolawyatt04] F. Sunmola and J. Wyatt. Optimistic Model Selection in Structure-based Reinforcement Learning. In Alain Dutech and Olivier Buffet (editors) Proceedings of the Sixth European Workshop on Reinforcement Learning EWRL-6, pages 31--32. 2003. [pdf] [bib]
  71 [sunmola03committees] F. Sunmola and J. Wyatt. Developing Committees of Explorers for Reinforcement Learning Agents. In 3rd Symposium on Adaptive Agents and Multi-Agent Systems. 2003. [bib]
  72 [montes03cartesian] Hector Montes and Jeremy Wyatt. Cartesian Genetic Programming for Image Processing Tasks. In Proceedings of IASTED International Conference on Neural Networks and Computational Intelligence (NCI 2003). 2003. [pdf] [bib]
  73 [grossman03semi] A. Grossmann, M. Wendt and J. Wyatt. A Semi-supervised Method for Learning the Structure of Robot Environment Interaction. In Proceedings of the 5th International Symposium on Intelligent Data Analysis, pages 36--47, Springer-Verlag. 2003. [ps] [pdf] [bib]
  74 [matsumuraetal03] Y. Matsumura, X. Yao, J.L. Wyatt, K.Ohkura and K. Ueda. Robust Evolution Strategies Use Adaptive Search Strategies to Design Continuous-Time Recurrent Neural Networks. In Proceedings of the 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003), pages PS07-3-03. 2003. [pdf] [bib]

2002

  75 [brownyao02exploiting] G. Brown, X. Yao, J. Wyatt, H. Wersing and B. Sendhoff. Exploiting Ensemble Diversity for Automatic Feature Extraction. In Proc. of the 9th International Conference on Neural Information Processing (ICONIP'02), pages 1786-1790. November 2002. [ps.gz] [pdf] [bib]
  76 [wyatt02overview] Jeremy Wyatt. Reinforcement Learning: a brief overview. In I.O. Stamatescu (editor) Perspectives on Adaptivity and Learning, pages 243 -- 264, Springer. 2002. [ps.gz] [bib]

2001

  77 [hartley01issues] Adrian R. Hartley and Jeremy L. Wyatt. Issues in Dynamic Hidden Markov Modelling. In Proceedings of the Fifth European Workshop on Reinforcement Learning. October 2001. [bib]
  78 [hartley01task] Adrian R. Hartley and Jeremy L. Wyatt. Issues in Hidden Markov Modelling and Task Driven Perception. In AAAI Spring Symposium: Learning Grounded Representations. 2001. [bib]
  79 [wyatt01overview] J. Wyatt. . In I.O.Statmescu (editor) Perspectives on Adaptivity and Learning, Springer. 2001. [pdf] [bib]
  80 [wyatt01icml] J. Wyatt. Exploration Control in Reinforcement Learning Using Optimistic Model Selection. In A. Danyluk and C. Brodley (editors) Proceedings of the Eighteenth International Conference on Machine Learning. 2001. [ps.gz] [pdf] [bib]

2000

  81 [wyatt00optimistic] J. Wyatt. Optimistic Model Selection for Exploration Control. In C.Bousono-Calzon et al. (editor) Learning'00. 2000. [bib]

1999

  82 [wyatt96qlambda] Jeremy Wyatt, Gillian Hayes and John Hallam. Investigating the Behaviour of Q(lambda). In Colloquium on Self-Learning Robots. February 1999. [pdf] [bib]
  83 [wyatt97methods] Jeremy Wyatt, John Hoar and Gillian Hayes. Experimental methods for robot learning. In U. Nehmzow and M. Recce and D. Bisset (editors) Towards Intelligent Mobile Robots - Scientific Methods in Mobile Robotics. University of Manchester, Department of Computer Science Tech Report UMCS-97-9-1. 1999. [bib]

1998

  84 [wyatt98design] J. Wyatt, J. Hoar and G. Hayes. Design, analysis and comparison of robot learners. Robotics and Autonomous Systems: Special Issue on quantitative methods in mobile robotics, 24(1), pages 17--32. 1998. [ps.gz] [pdf] [bib]

1997

  85 [wyatt97phd] J. Wyatt. Exploration and Inference in Learning from Reinforcement. Ph.D. thesis, Department of Artificial Intelligence, University of Edinburgh. March 1997. [pdf] [bib]
  86 [hoar97evaluation] J. Hoar, J. Wyatt and G. Hayes. Multiple Evaluation Techniques for Robot Learning. In 10th International Florida AI research symposium (FLAIRS). 1997. [bib]

1995

  87 [wyatt95aisb] J. Wyatt. Issues in putting Reinforcement Learning onto robots. In Mobile Robotics Workshop, 10th Biennal Conference of the AISB. April 1995. [bib]

Birmingham PhD theses in Machine Learning

Here are some great PhD theses to come out of Birmingham in Machine Learning. This includes two winners of the BCS/CPHC Distinguished Dissertation Competition. This is the highest honour that can be given to a doctoral thesis in computer science in the UK. Enjoy:

PhD Opportunities in the Robot Learning lab


Right now I'm primarily interested in recruiting PhD students with excellent mathematical and coding skills to work on aspects of the CoSy project. This is a four year, multi-site European project to study the scientific problems in building Cognitive Robots. I will consider students for other topics. Please note the following before mailing me: In general I am happy to supervise PhD students in any area of robot learning, reinforcement learning, Bayesian or other probabilistic approaches to learning, behaviour based robotics, learning in computer vision, evolutionary robotics, multi-robot learning, reinforcement learning, or sequential decision making. I'll also consider supervising more general work in intelligent mobile robotics. If you have an idea then please e-mail me.

If you're interested in applying to do a PhD in this school you should also look at the School's web page http://www.cs.bham.ac.uk/ and follow the link labelled: How to apply to be a Research Student here. This includes pointers to an online application form and information about funding opportunities, fees, etc. A general page for all admissions information about the School is available.

Current Collaborators

Teaching

Undergraduate and MSc projects on offer


I'm now full for 2008-09.

Travelling Plans

Last updated: 12 October 2009

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