Javier Segovia Aguas



Perception and Manipulation

E-mail jsegovia (at) iri.upc.edu

Phone 93 4015872

I am an AI Researcher in the Perception and Manipulation group at IRI. Inspired by Program Synthesis (PS) community, I have explored along my PhD the potential of classical planning techniques to generate algorithm-like solutions that generalize over multiple problems. Logic and Machine Learning have been the main approaches to PS, so now I am working on how to make planning and learning benefit from each other, and extending these ideas to learning high-level models, DCK, XAI and Roboethics.

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As contributor


  • J. Segovia, S. Jiménez and A. Jonsson. Generalized planning with positive and negative examples, 34th AAAI Conference on Artificial Intelligence, 2020, New York, USA, to appear.

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  • A. Andriella, A. Suárez, J. Segovia, C. Torras and G. Alenyà. Natural teaching of robot-assisted rearranging exercises for cognitive training, 11th International Conference on Social Robotics, 2019, Madrid, in Social Robotics, Vol 11876 of Lecture Notes in Computer Science, pp. 611-621, Springer.

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