Professor Mark Lee

INTELLIGENT ROBOTICS RESEARCH GROUP

Publications

Building Representations of Proto-Objects with Exploration of the Effect on Fixation TimesBraud, R., Giagkos, A., Shaw, P., Lee, M. & Shen, Q. 2017 (Accepted/In press) 8 p.
Assessing Humanoid Multimodal Grasping Towards Object RecognitionGiagkos, A., Braud, R., Shaw, P., Lee, M. & Shen, Q. 2017 (Accepted/In press) 2 p.
Perception of Localized Features During Robotic Sensorimotor DevelopmentGiagkos, A., Lewkowicz, D., Shaw, P., Kumar, S., Lee, M. & Shen, Q. 2017 In : IEEE Transactions on Cognitive and Developmental Systems.99, p. 127-140
Developing Object Understanding through Schema GeneralisationKumar, S., Shaw, P., Lewkowicz, D., Giagkos, A., Shen, Q. & Lee, M. 2016
Towards Learning Strategies and Exploration Patterns for Feature PerceptionLewkowicz, D., Giagkos, A., Shaw, P., Kumar, S., Lee, M. & Shen, Q. 2016
Generalising Predictable Object Movements Through Experience Using SchemasKumar, S., Shaw, P., Lewkowicz, D., Giagkos, A., Lee, M. & Shen, Q. 2016 From Animals to Animats 14: 14th International Conference on Simulation of Adaptive Behaviour, SAB 2016, Aberystwyth, UK, August 23-26, 2016, Proceedings. Tuci, E., Giagkos, A., Wilson, M. & Hallam, J. (eds.). Springer Nature, p. 329-33911 p. (Lecture Notes in Computer Science; vol. 9825)
Babybot Challenge: Motor SkillsShaw, P., Lewkowicz, D., Giagkos, A., Law, J., Kumar, S., De Masson d' Autume, C., Lee, M. & Shen, Q. 2015 5th International Conference on Development and Learning and on Epigenetic Robotics. Providence, RI USA: IEEE Press, p. 47-548 p.
Representations of body schemas for infant robot developmentShaw, P., Law, J. & Lee, M. 2015 5th International Conference on Development and Learning and on Epigenetic Robotics. Providence, RI USA: IEEE Press, p. 123-1286 p.
A comparison of learning strategies for biologically constrained development of gaze control on an iCub robotShaw, P. H., Law, J. A. & Lee, M. H. 2014 In : Autonomous Robots.37, 1, p. 97-11014 p.
A psychology based approach for longitudinal development in cognitive robotics.Law, J. A., Shaw, P. H., Earland, K. G., Sheldon, M. T. & Lee, M. H. 2014 In : Frontiers in Neurorobotics.8, 1, p. 1-19
Overlapping Structures in Sensory-Motor MappingsEarland, K., Lee, M., Shaw, P. & Law, J. 2014 In : PLoS One.9, 1, e84240
An Infant Development-inspired Approach to Robot Hand-eye CoordinationChao, F., Lee, M. H., Jiang, M. & Changle, Z. 2014 In : International Journal of Advanced Robotic Systems.11, 15
From Saccades to Grasping: A Model of Coordinated Reaching Through Simulated Development on a Humanoid RobotLaw, J. A., Shaw, P. H., Lee, M. H. & Sheldon, M. T. 2014 In : IEEE Transactions on Autonomous Mental Development.6, 2, p. 93-109
A Developmental Framework for Cumulative Learning RobotsLee, M., Law, J. & Hülse, M. 2013 Computational and Robotic Models of the Hierarchical Organization of Behavior. Baldassarre, G. & Mirolli, M. (eds.). Springer Nature, p. 177-212
The development of chlorophyll-based markers in poultry diets to aid detection of fluorescent fecal contaminationLee, M. R. F., Leemans, D., Theobald, V. J., Fleming, H. R. & Gay, A. P. 2013 In : Poultry Science.92, 12, p. 3251-3258
Synergy-based affordance learning for robotic graspingGeng, T., Wilson, J., Sheldon, M., Lee, M. & Hülse, M. 2013 In : Robotics and Autonomous Systems.61, 12, p. 1626-164015 p.
A biologically constrained architecture for developmental learning of eye–head gaze control on a humanoid robotLaw, J. A., Shaw, P. H. & Lee, M. H. 2013 In : Autonomous Robots.35, 1, p. 77-92
Qualitative Order of Magnitude Energy-Flow-Based Failure Modes and Effects AnalysisSnooke, N. & Lee, M. H. 2013 In : Journal of Artificial Intelligence Research.46, p. 413-447
Identifying the Computational Requirements of an Integrated Top-Down-Bottom-Up Model for Overt Visual Attention within an Active Vision System.McBride, S., Hülse, M. S. & Lee, M. H. 2013 In : PLoS One.8, 2, 12 p., e54585
An infant inspired model of reaching for a humanoid robotLee, M., Law, J., Shaw, P. & Sheldon, M. 2012 p. 1-6
An evaluation of environmental constraints for biologically constrained development of gaze control on an iCub robotShaw, P. H., Law, J. A. & Lee, M. H. 2012 In : Paladyn.3, 3, p. 147-155
Task Modulated Active Vision For Advanced Human-Robot InteractionHülse, M. S., McBride, S. D. & Lee, M. H. 2012 In : International Journal of Humanoid Robotics.9, 3, 23 p.
Towards cognitive robotics: Robotics, biology and developmental psychologyLee, M., Nehmzow, U. & Rodrigues, M. 2012 The Complex Mind: An Interdisciplinary Approach. McFarland, D., Stenning, K., McGonigle-Chalmers, M. & Hendry, D. (eds.). Springer Nature, p. 103-126
Development of eye-head gaze control on the iCub robotLaw, J., Shaw, P. & Lee, M. 2012 5th International Conference on Cognitive Systems (CogSys 2012). Vienna, Austria, p. 521 p.
Infants and iCubs: Applying Developmental Psychology to Robot ShapingLaw, J., Lee, M., Hülse, M. & Shaw, P. 2012 In : Procedia Computer Science.7, p. 272-2743 p.
PSchema: A developmental schema learning framework for embodied agentsSheldon, M. & Lee, M. 2011 p. 421-4277 p.
The infant development timeline and its application to robot shapingLaw, J., Lee, M., Hülse, M. & Tomassetti, A. 2011 In : Adaptive Behavior.19, 5, p. 335-35824 p.
Multi-modal visual attention for robotics active vision systems - A reference architectureHülse, M., McBride, S. & Lee, M. 2011 p. 21-299 p.
Transferring human grasping synergies to a robotGeng, T., Lee, M. & Hülse, M. 2011 In : Mechatronics.21, 1, p. 272-28413 p.
Developmental robotics architecture for active vision and reachingHülse, M. S., McBride, S. D. & Lee, M. H. 2011 Proceedings of the First Joint International Conference on Development and Learning (ICDL) and on Epigenetic Robotics (EpiRob).Vol. 2, p. 1-66 p.
Intrinsic activity: from motor babbling to playLee, M. H. 2011 Proceedings of the First Joint International Conference on Development and Learning (ICDL) and on Epigenetic Robotics (EpiRob).Vol. 2, 6 p.
Integration of active vision and reaching from a developmental robotics perspectiveHülse, M. S., McBride, S. D., Law, J. A. & Lee, M. H. 2010 In : IEEE Transactions on Autonomous Mental Development.2, 4, p. 355-36713 p.
Infant development sequences for shaping sensorimotor learning in humanoid robotsLaw, J., Lee, M. & Hülse, M. 2010 p. 65-728 p.
Gaze modulated visual search integrating spatial and feature data: Embodied visual memory for robotic systems IIHülse, M., McBride, S. & Lee, M. 2010 p. 167-1682 p.
Affordance learning for robotic graspingWilson, J., Geng, T., Sheldon, M., Hülse, M. & Lee, M. 2010 p. 170-18011 p.
A developmental approach to the emergence of communication in socially situated embodied agentsSheldon, M. & Lee, M. 2010 IEEE 9th International Conference on Development and Learning.p. 204-2107 p.
On the reduction of raw image data in the context of the appearance-based approach to robot navigationLabrosse, F., Hülse, M. & Lee, M. 2010 p. 76 - 827 p.
Adaptation of coulped sensorimotor mappings: An investigation towards developmental learning of humanoidsHülse, M. & Lee, M. 2010 Proceeding SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animat.Springer Nature, p. 468-47710 p.
An evaluation of gaze modulated spatial visual search for robotic active visionHülse, M., McBride, S. & Lee, M. 2010 TAROS 2010: Proceedings of Towards Autonomous Robotic Systems 2010.Plymouth University Press, p. 83 - 908 p.
The Logic of Biological Inspired RoboticsHülse, M. & Lee, M. 2010 Proceedings of the International Symposium on AI-Inspired Biology. Chappell, J., Thorpe, S., Hawes, N. & Sloman, A. (eds.). p. 43 - 508 p.
A developmental algorithm for ocular–motor coordinationChao, F., Lee, M. H. & Lee, J. J. 2010 In : Robotics and Autonomous Systems.58, 3, p. 239-24810 p.
Fast learning mapping schemes for robotic hand-eye coordinationHülse, M. S., McBride, S. D. & Lee, M. H. 2010 In : Cognitive Computation.2, 1, p. 1 - 1616 p.
The IM-CLeVeR Project: Intrinsically Motivated Cumulative Learning Versatile RobotsBaldassare, G., Mirolli, M., Mannella, F., Caligiore, D., Visalberghi, E., Natale, F., Truppa, V., Sabbatini, G., Guglielmelli, E., Keller, F., Campolo, D., Redgrave, P., Gurney, K., Stafiord, T., Triesch, J., Weber, C., Rothkopf, C., Nehmzow, U., Condell, J., Siddique, M., Lee, M., Hülse, M., Schmidhuber, J., Gomez, F., Foester, A., Togelius, J. & Barto, A. 2009 Proceedings of the 9th International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems. Cañamero, L., Oudeyer, P-Y. & Balkenius, C. (eds.). Lund University Publications, p. 189-1902 p.
Robotic implementation of inhibition of return potential insight into the biological equivalentMcBride, S., Hülse, M. & Lee, M. 2009 p. PC13
Implementing inhibition of return: embodied visual memory for robotic systemsHülse, M., McBride, S. & Lee, M. 2009 Proc. 9th Int. Conf. on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems. Lund Uni. Cognitive Studies. Canamero, L., Oudeyer, P-Y. & Balkenius, C. (eds.). p. 213-2142 p.
Robotic hand-eye coordination without global reference: A biologically inspired learning schemeHülse, M., McBride, S. D. & Lee, M. 2009 2009 IEEE 8th International Conference on Development and Learning.p. 53-586 p.
Cole–Cole, linear and multivariate modeling of capacitance data for on-line monitoring of biomassDabros, M., Dennewald, D., Currie, D. J., Lee, M. H., Todd, R. W., Marison, I. W. & von Stockar, U. 2009 In : Bioprocess and Biosystems Engineering.32, 2, p. 161-173
An autonomous developmental learning approach for robotic eye-hand coordination.Chao, F. & Lee, M. H. 2009 p. 1327 p.
Aspects of sustainable software design for complex robot platforms in multi-disciplinary research projects on embodied cognitionHülse, M. & Lee, M. 2008 6 p.
ROSSI: Emergence of communication in Robots through Sensorimotor and Social InteractionZiemke, T., Borghi, A., Anelli, M., Gianelli, C., Binkovski, F., Buccino, G., Gallese, V., Hülse, M., Lee, M., Nicoletti, R., Parisi, D., Riggio, L., Tessari, A. & Sahin, E. 2008
Error-driven active learning in growing radial basis function networks for early robot learning,Meng, Q. & Lee, M. H. 2008 In : Neurocomputing.71, 7-9, p. 1449-146113 p.
Developmental Learning for Autonomous RobotsMeng, Q., Lee, M. & Chao, F. 2007 In : Robotics and Autonomous Systems.55, 9, p. 750-75910 p.
A scenario-driven decision support system for serious crime investigationShen, Q., Keppens, J., Aitken, C., Schafer, B. & Lee, M. 2007 In : Law, Probability and Risk.5, 2, p. 87-11731 p.
Construction of Robot Intra-modal and Inter-modal Coordination Skills by Developmental LearningMeng, Q. & Lee, M. 2007 In : Journal of Intelligent & Robotic Systems.48, 1, p. 97-11418 p.
Staged Competence Learning in Developmental RoboticsLee, M., Meng, Q. & Chao, F. 2007 In : Adaptive Behavior.15, 3, p. 241-25515 p.
Automated cross-modal mapping in robotic eye/hand systems using plastic radial basis function networksMeng, Q. & Lee, M. 2007 In : Connection Science.19, 1, p. 25-5228 p.
Error-driven active learning in growing radial basis function networks for early robot learningMeng, Q. & Lee, M. 2007 IEEE International Conference on Robotics and Automation (ICRA).p. 2984-907 p.
Qualitative FuturesPrice, C., Trave-Massuyes, L., Milne, R., Ironi, L., Forbus, K., Bredeweg, B., Lee, M., Struss, P., Snooke, N., Lucas, P., Cavazza, M. & Coghill, G. 2006 In : Knowledge Engineering Review.21, 4, p. 317-334
Design issues for Assistive Robotics for the ElderlyMeng, Q. & Lee, M. 2006 In : Advanced Engineering Informatics.20, 2, p. 171-18616 p.
Developmental Robotics from Developmental PsychologyLee, M., Meng, Q. & Chao, F. 2006 p. 103-1097 p.
Prediction of Physical Properties of Yeast Cell Suspensions using Dielectric SpectroscopyCurrie, D. J., Lee, M. & Todd, R. W. 2006 p. 672-675
Biologically inspired automatic construction of cross-modal mapping in robotic eye/hand systemsMeng, Q. & Lee, M. 2006 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.p. 4742-47498 p.
A Content-Neutral Approach for Sensory-Motor Learning in Developmental RoboticsLee, M., Meng, Q. & Chao, F. 2006 Sixth International Conference on Epigenetic Robotics.p. 55-628 p.
From Perception to Cognition of ObjectsZhang, X. & Lee, M. H. 2006 Proceedings of Towards Autonomous Robotic Systems 2006 Incorporating the Autumn Biro-Net Symposium. Witkowski, M., Nehmzow, U., Melhuish, C., Moxey, E. & Ellery, A. (eds.). Imperial College Press, p. 262-676 p.
Growth of Motor Coordination in Early Robot LearningLee, M. & Meng, Q. 2005 p. 1732-17332 p.
Compositional Bayesian modelling and its application to decision support in crime investigationShen, Q., Lee, M. & Keppens, J. 2005 p. 138-14811 p.
Psychologically Inspired Sensory-Motor Development in Early Robot LearningLee, M. & Meng, Q. 2005 In : International Journal of Advanced Robotic Systems.p. 325-33410 p.
Psychologically Inspired Sensory-Motor Development in Early Robot LearningLee, M. & Meng, Q. 2005 p. 157-1637 p.
Staged development of robot motor coordinationLee, M. & Meng, Q. 2005 2005 IEEE International Conference on Systems, Man and Cybernetics.IEEE Press, Vol. 3, p. 2917-29226 p.
Novelty and Habituation: the Driving Forces in Early Stage Learning for Developmental RoboticsMeng, Q. & Lee, M. 2005 Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience. Wermter, S., Palm, G. & Elshaw, M. (eds.). Springer Nature, Vol. 3575, p. 315-332 (Lecture Notes in Computer Science)
Novelty and Habituation: the Driving Forces in Early Stage Learning for Developmental RoboticsMeng, Q. & Lee, M. 2004
Learning and Control in Assistive Robotics for the ElderlyMeng, Q. & Lee, M. 2004 p. 71-76
Design Issues for Assistive Robotics for the ElderlyMeng, Q. & Lee, M. 2004
The Epistemological Foundations of Artificial AgentsLacey, N. J. & Lee, M. 2003 In : Minds and Machines.13, 3, p. 339-36527 p.
The Influence of Epistemology on the Design of Artificial AgentsLee, M. & Lacey, N. 2003 In : Minds and Machines.13, 3, p. 367-39529 p.
Adapting Home Service Robot Behaviours by Experience Reuse and Interaction with HumansMeng, Q. & Lee, M. 2003 p. 673-6786 p.
The Implications of Philosophical Foundations for Knowledge Representation and Learning in AgentsLacey, N. & Lee, M. 2003 Adaptive Agents and Multi-Agent Systems: Adaptation and Multi-Agent Learning. Alonso, E., Kudenko, D. & Kazakov, D. (eds.). Springer Nature, p. 216-238
An Hysteresis-Habituation mechanism for Sensorimotor ScaffoldingGunstone, R. & Lee, M. 2003 2nd International Symposium on Imitation in Animals & Artifacts .p. 189-1902 p.
Learning and Reuse of Experience in Behavior-Based Service RobotsMeng, Q., Lee, M. & Holstein, H. 2002 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002.IEEE Press, Vol. 2, p. 1019-10246 p.
Constraining Developmental Learning via ImitationGunstone, R. & Lee, M. 2002 Biologically-Inspired Robotics: The Legacy of W. Grey Walter: EPSRC/BBSRC International Workshop.p. 158-1658 p.
Teaching from Examples in Assembly and Manipulation of Snack Food Ingredients by RobotWilliams, T., Rowland, J. J. & Lee, M. H. 2001 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2001. Proceedings. .IEEE Press, Vol. 4, p. 2300-23056 p.
Behaviour-Based Assistive Robotics for the HomeMeng, Q. & Lee, M. 2001 IEEE International Conference on Systems, Man, and Cybernetics, 2001.Vol. 2, p. 684-6896 p.
Automatic Error Recovery in Behaviour-Based Assistive Robots with Learning from ExperienceMeng, Q. & Lee, M. 2001 5th IEEE International Conference on Intelligent Engineering Systems 2001.IEEE Press, p. 291-2966 p.
Robotic Assembly of Naturally Varying Food Items via Teaching by ExampleWilliams, T., Rowland, J. J. & Lee, M. H. 2001 Proceedings of the 9th International Symosium on Intelligent Robotic Systems (SIRS 2001).p. 133-14210 p.
Ambiguities and Deviations in Qualitative Circuit AnalysisLee, M., Bell, J. & Coghill, G. 2001 Proceedings of the 15th International Workshop on Qualitative Reasoning.p. 51-588 p.
The Implications of Philosophical Foundations for Knowledge Representation and Learning in AgentsLacey, N. & Lee, M. 2001 Proceeds AISB’01 Symposium on Adaptive Agents and Multi-agent Systems.p. 13-2412 p.
Qualitative modelling of unknown interface behaviourLee, M. H. & Garrett, S. M. 2000 In : International Journal of Human-Computer Studies.53, 4, p. 493-51523 p.
Qualitative Modelling of Linear Networks in Engineering ApplicationsLee, M. 2000 Proceedings of the 14th European Conference on Artificial Intelligence (ECAI’2000).p. 161-55 p.
Tactile Sensing: new directions, new challengesLee, M. 2000 In : International Journal of Robotics Research.19, 7, p. 636-6438 p.
Many-Valued Logic and Qualitative Modelling of Electrical CircuitsLee, M. 2000
Teaching by Example in Food Assembly by RobotWilliams, T., Rowland, J. J., Lee, M. H. & Neal, M. J. 2000 Proceedings of the IEEE International Conference on Robotics and Automation 2000.IEEE Press, Vol. 4, p. 3247-526 p.
Model-Based Reasoning: A Principled Approach for Software EngineeringLee, M. 2000 In : Software - Concepts and Tools.19, 4, p. 179-18911 p.
Qualitative Modelling of Linear Networks in ECAD ApplicationsLee, M. 2000 p. 23-3210 p.
Qualitative Modelling of Linear Networks in ECAD ApplicationsLee, M. 1999 p. 146-527 p.
The Use of Graph Grammars for Model-based Reasoning in Diagnostic Expert SystemsFlasinski, M. & Lee, M. 1999 In : Prace Informatyczne.9, p. 147-16519 p.
Qualitative Circuit Models in Failure Analysis ReasoningLee, M. 1999 In : Artificial Intelligence.111, 1-2, p. 239-27638 p.
Automating Mechanical FMEA Using Functional ModelsHughes, N., Chou, E., Price, C. & Lee, M. 1999 p. 394-985 p.
A Schema-Based Approach to Lifelong LearningCallaway, N. & Lee, M. 1999 p. 8-147 p.
A Case-Based Approach to Black-Box Control LearningGarrett, S. & Lee, M. 1999 p. 17-193 p.
Tactile Sensing for Mechatronics: A State of the Art SurveyLee, M. & Nicholls, H. 1999 In : Mechatronics.9, 1, p. 1-3131 p.
On Models, Modelling and the Distinctive Nature of Model-Based ReasoningLee, M. 1999 In : AI Communications.12, 3, p. 127-13711 p.
Characterising Model-Based ReasoningLee, M. 1999 p. 140-1467 p.
Robotic grasping by showing: an experimental comparison of two novel algorithms.Neal, M. J., Boyce, D., Rowland, J. J., Lee, M. H. & Olivier, P. 1998 Intelligent Components and Instruments for Control Applications 1997: SICICA '97 - Proceedings of the 3rd IFAC Symposium, Annecy, France, 9-11 June 1997 - IFAC Proceedings Volumes.Elsevier, p. 345-3506 p.
Intelligent Assembly SystemsLee, M. H. & Rowland, J. J. 1995 World Scientific.
The effect of the product cost factor on error handling in industrial robotsHardy, N. & Lee, M. 1994 p. 59-646 p.
Intelligent RoboticsLee, M. 1989 Halsted Press. 224 p.
An application of a multiple agent system for flexible assemble tasksOrgill, C., Hardy, N., Lee, M. & Sharpe, K. 1989 IEE Colloquium on Knowledge Based Environments for Industrial Applications Including Co-Operating Expert Systems in Control.IEEE Press, p. 3/1-3/99 p.
Automatic diagnosis of task faults in flexible manufacturing systemsHardy, N., Barnes, D. P. & Lee, M. 1989 In : Robotica.7, 1, p. 25-3511 p.
A software development package for intelligent supervisory systemsBarnes, D. P., Hardy, N., Lee, M., Orgill, C. & Sharpe, K. 1988 1988 Research Conference: Proceedings, Nottingham University: Science and Engineering Research Council (Great Britain). ACME Directorate. Research Conference.
Declarative sensor knowledge in a robot monitoring systemHardy, N., Barnes, D. P. & Lee, M. 1987 Languages for Sensor-Based Control in Robotics. Rembold, U. & Hörmann, K. (eds.). Springer Nature, p. 169-18820 p.
Experiences with a knowledge engineering toolkit: an assessment in industrial roboticsRobinson, V., Hardy, N., Barnes, D. P., Price, C. & Lee, M. 1987 In : Knowledge Engineering Review.21, 1, p. 43-5412 p.
Research into error recovery for sensory robotsLee, M., Barnes, D. P. & Hardy, N. 1985 In : Sensor Review.5, 4, p. 194-1974 p.
Research into automatic error recoveryLee, M., Hardy, N. & Barnes, D. P. 1984 p. 65-695 p.
Knowledge engineering in robot controlLee, M., Hardy, N. & Barnes, D. P. 1983 p. 70-778 p.
Error recovery in robot applicationsLee, M., Hardy, N. & Barnes, D. P. 1983 p. 217-2226 p.
Knowledge based error recovery in industrial robotsLee, M., Barnes, D. P. & Hardy, N. 1983 p. 824-8263 p.
A control and monitoring system for multiple-sensor industrial robotsBarnes, D. P., Lee, M. & Hardy, N. 1983 Proceedings of the 3rd International Conference on Robot Vision and Sensory Controls: November 6-10, 1983, Cambridge, Massachusetts USA.Institute for Fiscal Studies, p. 471-4799 p.