My main research interests focus on the application of computer vision, cognitive science, control theory and machine learning to advanced robotic and surveillance systems.
Computer Vision: object detection, recognition and tracking; human-computer interfaces; video surveillance.
Biological Vision: visual features; visual attention; oculomotor control; foveal vision; visual architectures.
Visual Learning: object and activity models from examples, self-organizing visual representations.
Robot Vision: visual servoing; visual navigation; vision for manipulation; human-robot interaction.
Robot Learning: sensorimotor learning; learning of causal models; active learning; Bayesian learning.
Humanoid Robotics: as an integrating discipline of multiple fields in complex systems (perception, learning, artificial intelligence, control theory, dynamical systems).
Cognitive Systems: as inspiration for engineering applications and for building computational models for uncovering the mechanisms of perception and intelligence in living systems.
I've published works on foveal sensors, visual attention and stereo, image feature extraction, binocular head control, image based tracking and identification, learning object affordances, sensorimotor coordination, human activity recognition, among other topics.
You can find online versions of most of the following publications at the VisLab publications page
Here I list some documents or links for information of interest for students and collaborators.
ISR/IST - Torre Norte, 7º
Av. Rovisco Pais,
1049-001 Lisboa. Portugal
Tel. +351-218418293, Fax. +351-218418291