Publications

Journal

Hawes N, et. al. The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE Robotics and Automation Magazine, 24(3): 146-156, 2017. [abstract]

Y. Gatsoulis and T. M. McGinnity. Intrinsically motivated learning systems based on biologically- inspired novelty detection. Robotics and Autonomous Systems, 68: 12-20, 2015. [abstract]

Y. Gatsoulis, G.S. Virk and A.A. Dehghani-Sanij. On the measurement of situation awareness for effective human-robot interaction in teleoperated systems. Journal of Cognitive Engineering and Decision Making, 4(1): 69-98, 2010. [abstract, pdf, @ResearchGate]
Copyright (2010) by the Human Factors and Ergonomics Society, all rights reserved. Making more than one copy of this paper is prohibited except by written permission from HFES. Journal of Cognitive Engineering and Decision Making

Conference

M. Al-Omari, P. Duckworth, Y. Gatsoulis, D. Hogg and A.G. Cohn. Unsupervised Natural Language Acquisition and Grounding to Visual Representations for Robotic Systems. In Proc. IJCAI Cognitum Workshop, Melbourne, Australia. August 2017.

Y. Gatsoulis, M. O. Mehmood, V.G. Dimitrova, D.R. Magee, B. Sage-Vallier, P. Thiaudiere, J. Valdes, A.G. Cohn. Learning the repair urgency for a decision support system for tunnel maintenance. Frontiers in Artificial Intelligence and Applications, pp. 1769-1774. August 2016.

P. Duckworth, M. Alomari, Y. Gatsoulis, D.C. Hogg, and A.G. Cohn. Unsupervised Activity Recognition using Latent Semantic Analysis on a Mobile Robot. In Proc. of the 22nd European Conference on Artificial Intelligence (ECAI 2016). The Hague, Holland. August, 2016.

P. Duckworth, Y. Gatsoulis,  F. Jovan, N. Hawes, D. C. Hogg, D. and A. G. Cohn. Unsupervised Learning of Qualitative Motion Behaviours by a Mobile Robot. In Proc. of the Intl. Conf. on Autonomous Agents and Multiagent Systems (AAMAS). Singapore. May 2016.

M. Al-Omari, E. Chinellato, Y. Gatsoulis, D. C. Hogg and A. G. Cohn. Grounding of Textual Descriptions of Object Features and Actions in Video. In Proc. of the 15th International Conference on Principles of Knowledge Representation and Reasoning (KR). Cape Town, South Africa. April 2016.

J. Tayyub, A. Tavanai, Y. Gatsoulis, A. G. Cohn and D. C. Hogg. Qualitative and Quantitative Spatio-Temporal Relations in Daily Living Activity Recognition. In Proc. of the 12th Asian Conference on Computer Vision (ACCV). Singapore. Nov. 2014. [@ResearchGate]

Y. Gatsoulis, C. Burbridge, T.M. McGinnity. Biologically inspired intrinsically motivated learning for service robots based on novelty detection and habituation. In Proc. of the IEEE International Conference on Robotics and Biomimetics (ROBIO). Guangzhou, Dec. 2012. [@ResearchGate]

Y. Gatsoulis, I. Siradjuddin, T.M. McGinnity. Primitive action learning using fuzzy neural networks. In Proc. of the IEEE International Conference on Robotics and Biomimetics (ROBIO). Guangzhou, Dec. 2012. [@ResearchGate]

Y. Gatsoulis, C. Burbridge, T.M. McGinnity. Online unsupervised cumulative learning for life-long robot operation. In Proc. of the IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 2486-2490, Phuket, Dec. 2011. [@ResearchGate]

D. Migliore, E. Kerr, G. Spina, P. Chandrashekhariah, R. Veale, Y. Gatsoulis, J. Triesch. A NeuroRobotic Model of Infant Looking Behavior. Cognitive Neuromorphic Engineering Workshop, Capo Caccia, 2011. [@ResearchGate]

Y. Gatsoulis, E. Kerr, J. V. Condell, N. H. Siddique, T. M. McGinnity. Novelty detection for cumulative learning. In Proc. of Towards Autonomous Robotic Systems 2010 (TAROS’10), pp. 62-67, Plymouth, Sep. 2010. [@ResearchGate]

Y. Gatsoulis, E. Kerr, J.V. Condell, N.H. Siddique, and T.M. McGinnity. A visual novelty detection filter based on bag-of-words and biologically-inspired networks. In D. Kazakov and G. Tsoulas, editors, Proc. of the AISB’11 Convetion – Symposium on Architectures for Active Vision, pp. 29-32, York, April 2011. [@ResearchGate]

N. H. Siddique, J. V. Condell, T. M. McGinnity, Y. Gatsoulis, E. Kerr. Hierarchical architecture for incremental learning in mobile robotics. In Proc. of Towards Autonomous Robotic Systems 2010 (TAROS’10), pp. 271-277, Plymouth, Sep. 2010. [@ResearchGate]

E. Kerr, Y. Gatsoulis, N.H. Siddique, J.V. Condell, T.M. McGinnity. Brief Overview of Novelty Detection Methods for Robotic Cumulative Learning. In Proc. of AICS 2010 – The 21st National Conference on Artificial Intelligence and Cognitive Science, 30 Aug. – 1 Sep. Editors: J. Griffith, C. Hayes, M. Madden, C. O’Riordan, pp. 171-180, Galway, 2010. [@ResearchGate]

Y. Gatsoulis, G.S. Virk and A. Dehghani. The influence of human factors on task performance: A linear approach. In Proc. of CLAWAR 2008, 11th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, Coimbra, Sep. 2008. [@ResearchGate]

G.S. Virk, Y. Gatsoulis, M. Parack and A. Kherada. Mobile robotic issues for urban search and rescue. In Proc. of 17th IFAC World Congress, Seoul, 2008. [@ResearchGate]

Y. Gatsoulis and G.S. Virk. Performance metrices for improving human-robot interaction. In Proc. of CLAWAR 2007, 10th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, Singapore, Jul. 2007. [@ResearchGate]

Y. Gatsoulis, G.S. Virk, M. Parack and A. Kherada. “What’s going on?” An alternative approach into investigating human-robot interactions. In Proc. of CLAWAR 2006, 9th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, Brussels, Belgium, Sep. 2006.

M. Parack, G.S. Virk, S. Dogramadzi and Y. Gatsoulis. Adaptable mobile platform for rough terrain locomotion. In Proc. of CLAWAR 2006, 9th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, Brussels, Belgium, Sep. 2006.

A. Kherada, G.S. Virk, S. Dogramadzi, D.R. Harvey and Y. Gatsoulis. Active indoor localisation of mobile robots using infra-red. In Proc. of CLAWAR 2006, 9th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, Brussels, Belgium, Sep. 2006.

Y. Gatsoulis and G.S. Virk. Modular situational awareness for CLAWAR robots. In Proc. of CLAWAR 2005, 8th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, London, UK, Sep. 2005. [@ResearchGate]

Y. Gatsoulis, I. Chochlidakis and G.S. Virk. Design toolset for realising robotic systems. In Proc. of the 7th International Conference on Climbing and Walking Robots and the support Technologies for Mobile Machines (CLAWAR’04), Madrid, Spain, Sep. 2004. [@ResearchGate]

I. Chochlidakis, Y. Gatsoulis and G.S. Virk. Module-level generic design tool for robotic systems. In Proc. of the 7th International Conference on Climbing and Walking Robots and the support Technologies for Mobile Machines (CLAWAR’04), Madrid, Spain, Sep. 2004.

Y. Gatsoulis, I. Chochlidakis and G.S. Virk. A software framework for the design and support of mass market CLAWAR machines. In Proc. of IEEE International Conference on Mechatronics and Robotics (MECHROB’04), Aachen, Germany, Sep. 2004. [@ResearchGate]

Y. Gatsoulis, G. Maistros, Y. Marom and G. Hayes. Learning to forage through imitation. In Proc. of the Second IASTED International Conference on Artificial Intelligence and Applications (AIA’02), pages 485-491, Malaga, Spain, Sep. 2002. [@ResearchGate]

Book Chapters

U. Nehmzow, Y. Gatsoulis, E. Kerr, J. Condell, N.H. Siddique, and M.T. McGinnity. Novelty detection as an intrinsic motivation for cumulative learning robots. In G. Baldassarre and M. Mirolli, editors, Intrinsically Motivated Learning in Natural and Artificial Systems, pp 185-207. Springer, Berlin, 2013.

Y. Gatsoulis. The effects of robots in rescue. In Avramides, S. ed., The Handbook of Safety & Lifesaving, Athens, European Lifeguard Academy.

Theses

Y. Gatsoulis. Performance metrics and human-robot interaction for teleoperated systems. PhD Thesis, School of Mechanical Engineering, The University of Leeds, 2008. [@ResearchGate]

Y. Gatsoulis. Learning by imitation for mobile robots. MSc Dissertation, School of Informatics, The University of Edinburgh, 2001.

Others

Y. Gatsoulis. A Little Book of Python for Multivariate Analysis. 2016. [ReadTheDocs][Jupyter Notebook@github]

Y. Gatsoulis and G.S. Virk. Situational Awareness for Search and Rescue Robots. 1st Summer School on Perception and Sensor Fusion in Mobile Robotics (PSFMR 2005). Ancona, Italy, 2005.

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