I graduated from the University from Zaragoza in 2009 on Telecommunication Engineering, having completed my Master's Thesis at the Lifetronics department from the Fraunhofer IPMS institute. After working for over a year at the Institute for Biomedical Engineering at the Dresden University of Technology, I moved to Berlin to attend the Master on Computational Neuroscience at the Bernstein Center. During this second Master's degree I carried out successive lab rotations at Humboldt University in Berlin, Advanced Telecommunications Research Institute in Kyoto, Japan, and the University Medical Center Hamburg-Eppendorf, where I also worked on my Master's Thesis in robot cognition and sensorimotor interaction. I joined the Italian Institute of Technology in June 2013 to pursue a PhD on machine learning for robotics with the iCub humanoid robot, which I completed in April 2017.
After a brief period of working as a Fellow at IIT, I moved to Bristol in November 2017 to join Dyson Ltd, where I have been working on the Robotics Research team, developing and implementing algorithms for robotic perception and manipulation for future robotic products, up to the present day.
For more details, check out my work experience and academic education below.
After a brief period of working as a Fellow at IIT, I moved to Bristol in November 2017 to join Dyson Ltd, where I have been working on the Robotics Research team, developing and implementing algorithms for robotic perception and manipulation for future robotic products, up to the present day.
For more details, check out my work experience and academic education below.
Work Experience |
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04/2021 - present - Lead Robotics Research Engineer - Dyson Ltd.
Research on robotic perception and interaction technologies at Dyson.
11/2017 - 04/2021 - Senior Robotics Engineer - Dyson Ltd.
Research on robotic perception and interaction technologies at Dyson.
01/2016 - 10/2017 - Senior Research Fellow - Italian Institute of Technology
Developing and showcasing tool affordance demos on iCub. Adaptation of computer vision algorithms from iCub to WALK-MAN.
10/2011 - 02/2012 - Student Research Assistant - BCCN-Berlin, Berlin, Germany.
Experimental set-up for modeling human decision-making processes.
07/2011 - 09/2011 - Trainee (IAESTE) - Manipal Institute of Technology, Manipal, India.
Non-linear multi-class classification algorithms for early diagnosis of cancer based on blood serum protein profiles.
11/2010 - 07/2011 - Student Research Assistant - Berlin NeuroImaging Center, Berlin, Germany.
Implementation an interface to integrate the output of a near-infrared spectroscopy brain imaging system into an EEG-based BCI toolbox.
06/2010 - 09/2010 - Trainee (IAESTE) - School of Information Technology, at Thái Nguyên University, Vietnam. Simulation in MATLAB of partial differential equations approximations by means of cellular neural networks.
04/2009 - 01/2010 - Research Assistant - Institute of biomedical engineering, at Dresden University of Technology, Germany. Development of e-learning content. Feature selection and classification for heartbeat discrimination.
04/2008 - 06/2008 - Student Research Assistant - Lifetronics department, at Fraunhofer IPMS, Dresden, Germany. Research on ECG classification, neural network paradigms, and wearable devices
Academic Education |
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06/2013 - 04/2017 - PhD in Artificial Intelligence for Robotics
Italian Institute of Technology, Genova, Italy.
Topic: Affordances for and from manipulation; A developmental approach to tool use learning on Cub.
Tasks:
● Development of cognitive architectures for self-supervised tool affordance learning
+ Implementation of exploratory behaviors in iCub to discover affordances.
+ Realization of segmentation and tracking algorithms in 2D and 3D to discriminate tools and target objects.
+ Implementation of vision algorithms for tool feature extraction, using openCV and PCL.
+ Application of Machine Learning techniques, including deep learning, support vector machines, self-organized maps, regression, K-means, etc, in order to learn the correlation between tool’s features and the effects they achieved during exploration.
● Preparation and execution of experimental setups with the iCub humanoid robot
● Implementation of iCub demos for visitors, press or TV, at IIT and abroad.
10/2010 - 10/2013 - International Master in Computational Neuroscience
Bernstein Center for Computational Neuroscience, Berlin (BCCN-Berlin), Germany
Master's Thesis:
● Neurobiologically inspired computational models of extended sensorimotor contingencies for robot control. UKE, Hamburg, Germany.
- Topic: Apply recurrent neural network paradigms in order to model the action-perception loop for robot control.
Lab Rotations:
● Refinement and extension of body-map approaches. Humboldt University, Berlin, Germany.
- Task: Merging the RIAC artificial curiosity algorithm with Olsson’s Information Theory approach to body map generation to obtain a Curiosity Driven Motor Babbling algorithm.
● Standard sensor space representations for robust BCI. ATR laboratories, Kyoto, Japan
- Task: Standardization of VBMEG data and comparison with non-standardize data. Development of BCI appliance selector based on P300 wave.
● Virtual hand experiments to study of sensorimotor contingencies in humans. UKE, Hamburg, Germany.
- Task: Perform an experiment for the study of synchronization perception in humans
09/2002 - 03/2009 - Telecommunication Engineering.
University of Zaragoza, Zaragoza, Spain.
Erasmus year at Dresden University of Technology
Master's Thesis:
● Classification of ECG: A neural network approach for a wearable device. Fraunhofer IPMS , Dresden
See my citations at
Google Scholar |
Check the details on my
Curriculum Vitae |