Ricardo Andres Chavarriaga Lozano
My research interests are focused in the the field of neurorobotics with a two-fold objective. On the one hand, study the neurological basis of cognition to design robust brain-machine interaction systems, while at the other hand I am interested in using robotic platforms to test computational models of neural processes such as spatial learning and navigation or decision making.
I work on Multimodal Human-machine interaction using Non-invasive Brain-computer interfaces (BCI). Specifically, the study of cortical potentials that may be used to convey information about the user's cognitive processes and to develop methods that allow their use for BCI applications. To this end we develop signal processing and machine learning algorithms for the characterisation of EEG correlates of : (i) Error recognition; (ii) Anticipation of future events; and (iii) Decision making.
See all publications
Swiss NSF NCCR on Robotics
Brain-Machine Interface for drivers. CNBI-Nissan collaboration project
Opportunity: Activity and Context Recognition with Opportunistic Sensor Configurations.- European FET project. Contract No 225938
Brain-coupled interactive devices, Swiss NSF project.
CNBI-Colombia: Assessing AT requirements in Cali, Colombia. EPFL-CODEV funded project
Guardian Angels EU FET Flagship project
TOBI, Tools for Brain-Computer Interaction, European IP project ICT-2007-224631,
BACS, European IP project FP6-IST-027140.
Neuromath, European COST Action BM0601
Fields of expertise
Brain-computer interfaces / Bio-inspired robotics / Human-robot interaction / Statistical machine learning / Computational Neuroscience
Teaching & PhD
- Electrical and Electronics Engineering,
- Doctoral Program in Electrical Engineering
This course introduces several machine learning techniques for the data analysis and classification in Bioengineering applications. Following an application-oriented approach, each technique is illustrated with examples from fields such as neural engineer...