Publications

2012

 

Journal publications


  1. • S. Chatzis and Y. Demiris, “The Echo State Gaussian Process”, IEEE Transactions on Neural Networks, vol 22:9, pp. 1435-1445, Sept. 2011.

  2. • T. Carlson and Y. Demiris, “Collaborative Control of a Robotic Wheelchair: Evaluation of Performance, Attention and Workload”, IEEE Transactions on Systems, Man and Cybernetics B (in press, 2012).

  3. • S. Chatzis and Y. Demiris, “The Copula Echo State Network”, Pattern Recognition, 45:1, pp. 570-577, January 2012.

  4. • B. Takacs and Y. Demiris, “Spectral Clustering in Multi-Agent Systems”, Journal of Knowledge and Information Systems, 25:3, pp. 607-622, Springer, 2010.

  5. • Y. Demiris and B. Khadhouri, “Content-based control of goal-directed attention during human action perception”, Journal of Interaction Studies, 9:2, 353-376, 2008.

•  Y. Demiris and A. Meltzoff, “The Robot in the Crib: A developmental analysis of imitation skills in infants and robots”, Infant and Child Development, 17:43-53, 2008.

  1. • Y. Demiris, “Prediction of intent in robotics and multi-agent systems”, Cognitive Processing, 8: 151-158, 2007.

  2. • G. Simmons and Y. Demiris, “Object Grasping using the Minimum Variance Model”, Biological   Cybernetics, 94:5, 393-407, May 2006.

•  Y. Demiris and G. Simmons, “Perceiving the unusual: temporal properties of hierarchical motor representations for action perception”, Neural Networks, 19:3, pp. 272-284, 2006.

•  Y. Demiris and B. Khadhouri, “Hierarchical Attentive Multiple Models for Execution and Recognition (HAMMER)”, in Robotics and Autonomous Systems, 54:361-369, 2006.

•  M. Johnson and Y. Demiris, “Perceptual Perspective Taking and Action Recognition”, International Journal of Advanced Robotic Systems, 2:4, pp. 301-308, Dec. 2005.

•  G. Simmons and Y. Demiris, “Optimal robot arm control using the minimum variance model”, Journal of Robotic Systems, 22(11), pp. 677-690, November 2005.

•  Y. Demiris and M. Johnson, “Distributed, predictive perception of actions: a biologically inspired robotics architecture for imitation and learning”, Connection Science, vol. 15:4, pp. 231-243, Dec 2003.

•  V. Klingspor, Y. Demiris, and M. Kaiser, “Human-Robot-Communication and Machine Learning”, Applied Artificial Intelligence, Vol. 11, pp. 719-746, 1997. 


Conference papers (refereed)


2012


  1. • Kyuhwa Lee, T. K. Kim, and Y. Demiris, “Learning Reusable Task Representations using Hierarchical Activity Grammars with Uncertainties”, 2012 IEEE International Conference on Robotics and Automation (IEEE ICRA 2012), St. Paul, Minnesota, to appear (May 2012).

  2. • M. Blokzijl-Zanker and Y. Demiris, “Multi-robot learning by demonstration”, 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), Valencia, Spain, to appear (July 2012).


2011


  1. • J. Claassens and Y. Demiris, “Generalising Human Demonstration Data by Identifying Affordance Symmetries in Object Interaction Trajectories”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), pp 1980-1985, San Francisco, 2011.

  2. • Y. Wu and Y. Demiris, “Learning Dynamical Representations of Tools for Tool-user Recognition”, 21st IEEE International Conference on Robotics and Biomimetics (ROBIO 2011), pp 2664-2669, 2011.

  3. • M. Sarabia, R. Ros, and Y. Demiris, “Towards an open-source social middleware for humanoid robots”, 11th IEEE-RAS International Conference on Humanoid Robots, Bled, Slovenia, pp. 670-675, 2011.

  4. • S. Chatzis, D. Korkinoff, and Y. Demiris, “A non-parametric bayesian treatment of feedforward neural networks”, IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2011), pp. 825-831, Florida, USA, 7-9 Nov 2011.

  5. • K. Lee and Y. Demiris, “Towards Incremental Learning of Task-dependent Action Sequences using Probabilistic Parsing”, IEEE First Joint International Conference on Development and Learning and on   Epigenetic Robotics (ICDL-EPIROB 2011), Frankfurt am Main, 24-27 Aug 2011, DOI: http://dx.doi.org/10.1109/DEVLRN.2011.6037332.

  6. • R. Ros Espinosa, M. Nalin, R. Wood, P. Baxter, R. Looije, Y. Demiris and T. Belpaeme, “Child-robot interaction in the wild: Advice to the Aspiring Experimenter”, Proceedings of the ACM International Conference on Multi-modal Interaction, Valencia, Spain, pp. 335-342, 2011.

  7. • H. Soh and Y. Demiris, “Evolving Policies for Multi-Reward Partially Observable Markov Decision Processes (MR-POMDPs)”, Genetic and Evolutionary Computation Conference (GECCO-2011), Dublin, pp. 713-720, 2011.

  8. •  H. Soh and Y. Demiris, “Multi-Reward Policies for Medical Applications - Anthrax Attacks and Smart Wheelchairs”, 7th GECCO Workshop on Medical Applications of Genetic and Evolutionary Computation (MedGEC 2011), in Proceedings of the Genetic and Evolutionary Computation conference G(ECCO 2011), pp. 471-477, Dublin 2011.

  9. • R. Ros, I. Baroni, M. Nalin, and Y. Demiris, “Adapting Robot Behavior to User’s Capabilities: a Dance Instruction Study”,  ACM/IEEE Human-Robot Interaction conference (HRI-2011), Lausanne, pp. 235-236, 2011.

  10. • Baxter, P., Belpaeme, T., Canamero, L., Cosi, P., Demiris, Y. & Enescu, V. “Long-Term Human-Robot Interaction with Young Users”, in ACM/IEEE Human-Robot Interaction 2011 Conference (Robots with Children Workshop), 2011.

  11. • H. Soh and Y. Demiris, “Involving Young Children in the Development of a Safe, Smart Paediatric Wheelchair:, ACM/IEEE HRI-2011 Pioneers Workshop, Lausanne 2011.


2010


  1. •   Wu, Y., Kuvinichkul, P., Cheung, P., and Demiris, Y., "Towards Anthropomorphic Robot Thereminist", 2010 IEEE International Conference on Robotics and Biomimetics (ROBIO 2010), pp 235-240, 2010 (best paper award finalist).

  2. •   Wu, Y., and Demiris, Y., "Hierarchical Learning Approach for One-shot Action Imitation in Humanoid Robots", 11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010), p453-458, 2010.

  3. •   S. Butler and Y. Demiris,  Partial Observability During Predictions of the Opponent’s Movements in an RTS Game, in Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, pp 46-53, IEEE, August 2010.

  4. •    M. Fernandes-Martins and Y. Demiris, “Learning Multirobot Joint Action Plans from Simultaneous Task Execution Demonstrations”, Proc. of 9th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2010), pp. 931-938, Toronto, Canada, 2010.

  5. •   M. Fernandes-Martins and Y. Demiris, “Impact of Human Communication in a Multi-Teacher, Multi-robot Learning by Demonstration System”, Proc. of AAMAS-2010 Workshop on Agents Learning Interactively from Human Teachers, Toronto, Canada, 2010.     

  6. •     S. Butler and Y. Demiris, “Using a Cognitive Architecture for Opponent Target Prediction”,  Proc. of the 3rd International Symposium on AI and Games, AISB 2010, pp. 55-61, Leicester, April 2010.

  7. •    T. Carlson and Y. Demiris, “Robotic Wheelchairs: scientific experimentation or social intervention?”, IEEE ICRA 2010 Workshop on “The Role of Experiments in Robotics Research”, Anchorage, Alaska, May 2010.

  8. •    T. Carlson and Y. Demiris, “Increasing Robotic Wheelchair Safety With Collaborative Control: Evidence from Secondary Task Experiments”, IEEE International Conference on Robotics and Automation (ICRA 2010), Anchorage, Alaska, pp. 5582-5587, May 2010.

  9. •  Y. Wu and Y. Demiris, “Towards One Shot Learning by Imitation for Humanoid Robots”, IEEE International Conference on Robotics and Automation (ICRA 2010), Anchorage, Alaska, USA, pp 2889-2894, May 2010.


2009


  1. •      Y. Wu, and Y. Demiris, "Efficient Template-based Path Imitation by Invariant Feature Mapping", IEEE International Conference on Robotics and Biomimetics (ROBIO) 2009, Guilin, China, pp. 913-918, Dec 2009.

  2. •Y. Demiris, “Knowing when to assist: developmental issues in lifelong assistive robotics”, in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2009), pp 3357-3360, Minneapolis, Minnesota, USA, September 2-6, 2009.

  3. •A. Tidemann, P. Öztürk and Y. Demiris, “A Groovy Virtual Drumming Agent”, in Proceedings of the International Conference on Intelligent Virtual Agents, Volume 5773 of Lecture Notes in Computer Science, pp. 104-117, Springer (2009).

  4. •     S. Butler and Y. Demiris, “Predicting the movements of robot teams using generative models”, Proc.  of the 9th International Symposium on Distributed Autonomous Robotic Systems, pp. 533-542, Springer, May 2009.

  5. •B. Takacs and Y Demiris, “Heuristic MWIS solvers for resource allocation”, IMA Mathematics in Defense Conference, Farnborough, UK, 19 November 2009 (in press).

  6. •T. Carlson and Y. Demiris, “Using visual attention to evaluate collaborative control architectures for human robot interaction”, in Proceedings of AISB 2009 Symposium on "New Frontiers in Human - Robot Interaction", Edinburgh, UK, April 2009, pp 38-43.

  7. •Y. Demiris and T. Carlson, “Lifelong robot-assisted mobility: models, tools and challenges, in Proceedings of IET Assisted Living Conference 2009, London, UK, March 2009

  8. •Bálint Takács and Yiannis Demiris, “Multi-robot plan adaptation by constrained minimal distortion feature mapping”, IEEE International Conference on Robotics and Automation, pp. 742-749, Kobe, Japan, May 12-17, 2009.

  9. •B. Takacs and Y. Demiris, "Balancing Spectral Clustering for Segmenting Spatio-Temporal Observations of Multi-Agent Systems", in Proceedings of the Eighth IEEE International Conference on Data Mining, Pisa, Italy, pp. 580-587, Dec. 15-19, 2008, IEEE Computer Society Press. [Acceptance rate for full papers <10%]  [For an extended version see the KAIS journal paper above (2009)].


2008


  1. •J. Moreno, J. Pons , E Rocon, Y. Demiris, "A Hybrid Method based on Fuzzy Inference and Non-Linear Oscillators for Real-Time Control of Gait". International Conference on Bio-inspired Systems and Signal Processing – BIOSTEC Conference, BIOSIGNALS (2), 44-58, 2008.

  2. •A. Tidemann and Y. Demiris, “A Drum Machine that Learns to Groove”, Proceedings of KI-08, Volume 5243 of Lecture Notes in Computer Science, Springer (2008), pp. 144-151.

  3. •A. Tidemann and Y. Demiris, “Groovy Neural Networks”, Proceedings of European Conference on Artificial Intelligence (ECAI-2008), Volume 178, IOS Press (2008), pp. 271-275.

•T.  Carlson and Y. Demiris, “Human-Wheelchair Collaboration through Prediction of Intention and Adaptive Assistance”, Proceedings of IEEE International Conference on Robotics and Automation (ICRA-2008), Pasadena, CA, pp 3926-3931, 2008.

  1. •       T. Carlson and Y. Demiris, “Collaborative Control in Human Wheelchair Interaction Reduces the Need for Dexterity in Precise Manoeuvres”, In Proc. of ACM/IEEE HRI-2008 workshop on "Robotic Helpers: User Interaction, Interfaces and Companions in Assistive and Therapy Robotics", Amsterdam, Netherlands, March 2008, pp 59-66.


2007 and earlier


•B. Takacs, S. Butler and Y. Demiris, “Multi-Agent Behaviour Segmentation via Spectral Clustering”, Proceedings of the AAAI-2007 Workshop on Plan, Activity and Intention Recognition (PAIR), pp. 74-81, AAAI Press, July 2007.

•A. Tidemann and Y. Demiris, “Imitating the Groove: Making Drum Machines more Human”, Proceedings of the AISB-2007, pp.232-240 (2007).

•A. Dearden and Y. Demiris, “From exploration to imitation: using learnt internal models to imitate others”, Proceedings of the AISB-2007, pp.218-226 (2007).

•M. R. Johnson and Y. Demiris, “Visuo-Cognitive Perspective Taking for Action Recognition”, Proceedings of the AISB-2007, pp.262-269 (2007).

  1. •       A. Dearden Y. Demiris and O. Grau, “Learning models of camera control for imitation in football matches”, Proceedings of the AISB-2007, pp.227-231 (2007).

•A. Dearden, Y. Demiris and O. Grau, “Tracking Football Player Movement From a Single Moving Camera using particle filters”, Proceedings of the 3rd European Conference on Visual Media Production (CVMP 2006), pp. 29-37, IET Press, Nov 2006.

•Y. Demiris and B. Khadhouri, “Content-Based Control of Goal-Directed Attention During Human Action Perception”, in Proceedings of the 15h IEEE Symposium on Robot and Human Interactive Communication (RO-MAN 2006), pp. 226-231, September 2006. For an updated enhanced version of this paper see the Journal of Interaction Studies paper above.

•P. Veskos and Y. Demiris, "Experimental Comparison of the van der Pol and Rayleigh Nonlinear Oscillators for a robotic swinging task", Proceedings of the AISB 2006, pp.197-202 (2006)

•A. Dearden and Y. Demiris "Active learning of probabilistic forward models in visuo-motor development", Proceedings of the AISB 2006, pp.176-183, April 2006.

•P. Veskos and Y. Demiris "Neuro-mechanical entrainment in a bipedal robotic walking platform", Proceedings of the AISB 2006 - Volume 2, pp.78-84  April 2006.

•B. Khadhouri and Y. Demiris, “Compound effects of Top-down and Bottom-up influences on Visual Attention during Action Recognition”, Proceedings of IJCAI-2005, pp. 1458-1463, Edinburgh, July 2005. (acceptance rate 18.1%)

•A. Dearden and Y. Demiris, “Learning Forward Models for Robotics”, in Proceedings of IJCAI-2005, Edinburgh, pp. 1440-1445, July 2005 (acceptance rate 18.1%).

•M. Johnson and Y. Demiris, “Perspective taking through simulation”, Proceedings of TAROS-2005, pp. 119-126, September 2005.

•Y. Demiris and A. Dearden, “From motor babbling to hierarchical learning by imitation: a robot developmental pathway”, Proceedings of EPIROB-2005, July 2005, pp. 31-37, Japan.

•P. Veskos and Y. Demiris, “Developmental acquisition of entrainment skills in robot swinging using van der Pol oscillators”, in Proceedings of the EPIROB-2005, pp. 87-93, July 2005, Japan.

•P. Roy and Y. Demiris, “Analysis of biped gait patterns generated by van der Pol and Rayleigh oscillators under feedback”, Proceedings of AMAM-2005, Germany (to appear).

•P. Veskos and Y. Demiris, “Robot swinging using van der Pol non-linear oscillators”, Proceedings of AMAM-2005, Germany.

•Y. Demiris and B. Khadhouri, “Hierarchical, Attentive Multiple Models for Execution and Recognition (HAMMER)”, Proceedings of the IEEE ICRA-2005 Workshop on Robot Programming by Demonstration, Barcelona, Spain, 2005.

•B. Khadhouri and Y. Demiris, “Attention during action recognition for social robots”, in Proceedings of IEEE International Conference on Advanced Robotics, pp. 468-475, 2005, Seattle, USA.

•M. Johnson and Y. Demiris, “Hierarchies of Coupled Inverse and Forward Models for Abstraction in Robot Action Planning, Recognition and Imitation”, Proceedings of the AISB 2005 Symposium on Imitation in Animals and Artifacts, pp. 69-76, Hertfordshire, UK.

•G. Simmons and Y. Demiris, “Imitation of Human Demonstration Using A Biologically Inspired Modular Optimal Control Scheme”, in Proceedings of IEEE-RAS/RSJ International Conference on Humanoid Robots 2004, pp. 215-234, Los Angeles, USA.

•M. Johnson and Y.Demiris, “Abstraction in Recognition to Solve the Correspondence Problem for Robot Imitation”, in Proceedings of TAROS 2004, pp. 63-70, Essex, 2004.

•G. Simmons and Y. Demiris, “Biologically inspired optimal robot arm control with signal-dependent noise”, in Proceedings of IEEE IROS 2004, pp. 491-496, Sendai, Japan

•E. Eneje and Y. Demiris, “Towards Robot Active Intermodal Matching Using Spiking Neurons”, in Proceedings of the IROS'03 Workshop on Programming by Demonstration”, IEEE Press, pp. 95-99, USA, Oct 2003.

•M. Johnson and Y. Demiris, “An Integrated Rapid Development Environment for Computer Aided Robot Design and Simulation”, in Proceedings of the International Conference on Mechatronics, pp. 485-490, Loughborough, UK, June 2003.

•Y. Demiris, “Imitation, Mirror Neurons, and the Learning of Movement Sequences”, in Proceedings of the International Conference on Neural Information Processing (ICONIP-2002), pp. 111-115, Singapore, November 2002.

•Y. Demiris, “Biologically inspired imitation mechanisms and their application as models of mirror neurons”, in Proceedings of the EPSRC/BBSRC International Workshop on Biologically Inspired Robotics, pp. 126-133, Bristol, 14-16 August 2002.

•M. Mataric, M. Williamson, Y. Demiris, and A. Mohan, “Behavior-Based Primitives for Articulated Control”, in Proceedings, From Animals to Animats 5, Fifth International Conference on Simulation of Adaptive Behavior (SAB-98), Zurich, Switzerland, Aug 17-21, 1998.

•Y. Demiris and M. Mataric, “Perceptuo-Motor Primitives in Imitation”, in Autonomous Agents '98 Workshop on Agents In Interaction - Acquiring Competence Through Imitation, Minneapolis/St. Paul, May 10, 1998.

•Y. Demiris, and G. Hayes, “Do Robots Ape?”, Proceedings of the AAAI Fall Symposium on Socially Intelligent Agents , pp. 28-31, MIT, Cambridge, Mass., Nov. 1997.

•Y. Demiris, S. Rougeaux, G. M. Hayes, L. Berthouze, and Y. Kuniyoshi, “Deferred Imitation of Human Head Movements by an Active Stereo Vision Head”, Proceedings of the 6th IEEE International Workshop on Robot Human Communication, pp. 88-93, IEEE Press, Sendai, Japan, Sept. 1997.

•Y. Demiris and G. Hayes,  “Imitative Learning Mechanisms in Robots and Humans”, in Proceedings of the 5th European Workshop on Learning Robots, pp. 9-16, Bari, Italy, July 1996.

  1. •       G. M. Hayes and Y. Demiris, “A Robot Controller Using Learning by Imitation”, Proceedings of the 2nd International Symposium on Intelligent Robotic Systems, pp. 198-204, Grenoble, France, July 1994.



Books I have edited


•J. Wyatt and Y. Demiris (Eds), “Advances in Robot Learning”, Springer-Verlag, Lecture Notes in AI 1812, 2000, ISBN: 3-540-41162-3.

•Y. Demiris & A. Birk (Eds.), “Interdisciplinary Approaches to Robot Learning”, Robotics and Intelligent Systems Series, World Scientific, 2000,  ISBN 981-02-4320-0.

•A. Birk & Y. Demiris (Eds.), “Learning Robots”, Springer Verlag Lecture Notes in Artificial Intelligence (LNAI) 1545, 1998, ISBN 3-540-65480-1.

•Y. Demiris, K. Dautenhahn and C. Nehaniv, “Imitation in Animals and Artifacts”, 3rd International Symposium, AISB Press 2005.

•C. Prince, Y. Demiris, Y. Marom, H. Kozima, C. Balkenius (eds), “Epigenetic Robotics: Modelling Cognitive Development in Robotic Systems”, second international workshop, Edinburgh, 2002; Lund University Cognitive Studies Series, ISBN 91-631-2677-X.

•Y. Demiris and G. Westermann (editors), “Biologically-inspired Machine Learning”, ACAI Workshop Proceedings, Chania, Crete, 1999.


Book Chapters (refereed)


  1. •D. Ognibene, Y. Wu, K, Lee, and Y. Demiris, “Hierarchies in Embodied Action Perception”, in Computational and Robotic Models of the Hierarchical Organisation of Behaviour, G. Baldassare and M. Mirolli (eds), Springer Verlag, 2012 (to appear).

  2. •  S. Butler and Y. Demiris, “Predicting the movements of robot teams using generative models”, in Distributed Autonomous Robotic Systems 8, pp. 533-542, Springer, May 2009 (see paper in conference proceedings above).

  3. •       Y. Demiris and M. Johnson, “Simulation Theory for Understanding Others: A Robotics Perspective” in Imitation and Social Learning in Robots, Humans and Animals: Behavioral Social and Communicative Dimensions, Cambridge University Press, pp.89-102 (2007).

•Y. Demiris, “Robots as modelling tools for studying imitation”, in Neuroconstructivism, Denis Mareschal, Sylvain Sirois & Gert Westermann (eds), Oxford University Press, pp. 159-178 (2007).

•Y. Demiris and G. M. Hayes, “Imitation as a dual-route process featuring predictive and learning components: a biologically-plausible computational model”, chapter 13, pp. 327-361, in Imitation in Animals and Artifacts, edited by K. Dautenhahn and C. Nehaniv, MIT Press, 2002.  [This is a summary of my thesis]. This paper has been cited more than 100 times (source: Google Scholar, Aug 2008).

•R. Joiner, K. Issroff and J. Demiris, “Comparing Human-Human and Robot-Robot Interaction”, in Collaborative Learning: Cognitive and Computational Approachers, Pierre Dillenbourg (ed), pp 81-102, Pergamon Press (Elsevier Science), 1999.


My PhD Thesis


Yiannis (John) Demiris, Movement Imitation Mechanisms in Robots and Humans, PhD Thesis, Department of Artificial Intelligence, University of Edinburgh, May 1999. You can read the summary of the findings in the MIT press book chapter above (which unfortunately appeared 3 years later).