Students Staff

Academic Staff

Dr Dimitri Ognibene

Staff positionLecturer
Emaildimitri.ognibene@essex.ac.uk
Telephone01206 873100
Room1.NW.4.8
Biography

Dr Dimitri Ognibene obtained is PhD in Robotics from the University of Genoa in 2009. Before joining the University of Essex, he has been  performing experimental studies and developing formal methods for active social perception  at UPF, Barcelona, as a Marie SkÅ‚odowska-Curie COFUND Fellow; developing algorithms for active vision in industrial robotic tasks as a Research Associate (RA) at Centre for Robotics Research, Kings College London; devising Bayesian methods and robotic models for attention in social and dynamic environments as a RA at the Personal Robotics Laboratory in Imperial College London; studying interaction between active vision and autonomous learning in neuro-robotic models as a RA at Institute of Cognitive Science and Technologies of the Italian Research Council (ISTC CNR). He also collaborated with Wellcome Trust Centre for Neuroimaging (UCL) to address the exploration issue in  the currently dominant neurocomputational modelling paradigm. Dr Ognibene has also been Visiting Researcher at Bounded Resource Reasoning Laboratory in UMass and at University of Reykjavik (Iceland) exploring the symmetries between active sensor control and active computation or metareasoning. Dr Ognibene presented his work in several international conferences on artificial intelligence, adaptation, and development and published on international peer-reviewed journals. Dr Ognibene was invited to speak at the International Symposium for Attention in Cognitive Systems (2013 and 2014) as well as in other various neuroscience, robotics and machine-learning international venues. Dr Ognibene is Associate Editor of Paladyn, Journal of Behavioral Robotics, and has been part of the Program Committee of several conferences and symposiums.

Websitehttps://sites.google.com/site/dimitriognibenehomepage/
Research interests

My research interests entail the principles underlying adaptive social behaviour in complex conditions with particular attention to anticipative skills and exploration in unknonwn environemnts.

My research covers both biological and artificial agents as well as physical (visual and multimodal) and virtual environments as  social media and virtual reality.

I use machine learning methods, both (deep) neural and probabilistic models, to create agents as well as to study and predict their behaviours.

In growing order of specificity my research interests are:

  1. Artificial Intelligence (Ognibene & Demiris 2013, Nivel et al 2014)
  2. Cognitive Neuroscience (Ognibene et al 2017, Friston et al 2015, Pezzulo & Ognibene 2013)
  3. Social Robotics (Ognibene & Demiris 2013, Ognibene et al 2013, Petit et al 2013)
  4. Social Media Governance and Behavior Modelling (under preparation)
  5. Probabilistic and Neural Machine Learning Methods (Ognibene Baldassarre 2015, Ognibene and Demiris 2013, Ognibene et al 2013)
  6. Reinforcement Learning and Autonomous Development (Ognibene Baldassarre 2015, Ognibene et al 2010, Ognibene et al 2008)
  7. Active Vision and Perception (Ognibene & Demiris 2013, Ognibene Baldassarre 2015, Ognibene et al 2010, Ferro, M. 2010, Ognibene et al 2008)
  8. Adaptive Model Based Control (Catenacci Volpi, Wu Ognibene, in press, Nivel et al 2014)
  9. Behaviour Modelling and Prediction (Ognibene & Demiris 2013, Ferro, M. 2010)
  10. Active Intention Recognition and Activity Monitoring (Ognibene & Demiris 2013, Lee et al 2015)

 Related Publications:

  • Friston, K., Rigoli, F., Ognibene, D., Mathys, C., Fitzgerald, T. and Pezzulo, G., 2015. Active inference and epistemic value. Cognitive neuroscience, 6(4), pp.187-214.
  •  Petit, M., Lallée, S., Boucher, J.D., Pointeau, G., Cheminade, P., Ognibene, D., Chinellato, E., Pattacini, U., Gori, I., Martinez-Hernandez, U. and Barron-Gonzalez, H., 2013. The coordinating role of language in real-time multimodal learning of cooperative tasks. IEEE Transactions on Autonomous Mental Development, 5(1), pp.3-17.
  • Ognibene, D. and Baldassare, G., 2015. Ecological active vision: Four bioinspired principles to integrate bottom–up and adaptive top–down attention tested with a simple camera-arm robot. IEEE Transactions on Autonomous Mental Development, 7(1), pp.3-25.
  • Pezzulo, G. and Ognibene, D., 2012. Proactive action preparation: Seeing action preparation as a continuous and proactive process. Motor control, 16(3), pp.386-424.
  • Ognibene, D. and Demiris, Y., 2013, August. Towards Active Event Recognition. In IJCAI (pp. 2495-2501).
  • Ognibene, D., Pezzulo, G. and Baldassarre, G., 2010, August. How can bottom-up information shape learning of top-down attention-control skills?. In Development and Learning (ICDL), 2010 IEEE 9th International Conference on (pp. 231-237). IEEE.
  • Ferro, M., Ognibene, D., Pezzulo, G. and Pirrelli, V., 2010. Reading as active sensing: a computational model of gaze planning in word recognition. Frontiers in Neurorobotics, 4.
  • Ognibene, D., Balkenius, C. and Baldassarre, G., 2008, July. Integrating epistemic action (active vision) and pragmatic action (reaching): a neural architecture for camera-arm robots. In International Conference on Simulation of Adaptive Behavior (pp. 220-229). Springer, Berlin, Heidelberg.
  • Lee, K., Ognibene, D., Chang, H.J., Kim, T.K. and Demiris, Y., 2015. STARE: Spatio-Temporal Attention Relocation for Multiple Structured Activities Detection. IEEE Transactions on Image Processing, 24(12), pp.5916-5927.
  • Ognibene, D., Fiore, V.G. and Gu, X., 2017. Addiction in a Bounded Rational Model: Role of Environment and its Exploration. bioRxiv, p.179739.
  • Nivel, E., Thórisson, K.R., Steunebrink, B.R., Dindo, H., Pezzulo, G., Rodríguez, M., Hernández, C., Ognibene, D., Schmidhuber, J., Sanz, R. and Helgason, H.P., 2014, August. Bounded seed-AGI. In International Conference on Artificial General Intelligence (pp. 85-96). Springer, Cham.
  • Ognibene, D., Chinellato, E., Sarabia, M. and Demiris, Y., 2013. Contextual action recognition and target localization with an active allocation of attention on a humanoid robot. Bioinspiration & biomimetics, 8(3), p.035002.

Publications

Check my Google scholar page

Conferences/presentations

Recently Organised

Active Vision and Human Robot Collaboration Tutorial ICIAP 2017

For other activities check my homepage (under update)

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