Robotics and Control Systems
Dr. Monteiro’s research interests lie in the theory and application of machine learning, focused on problems in robotics and remote sensing. The primary goal of his research is to develop practical probabilistic methods to enable agents to sense, learn and act in complex, dynamic environments. His research seeks to address the major challenge of how to build efficient, accurate 3D representations of the surrounding environment to enable robust, long-term operation of autonomous systems. He has made many contributions in the field of hyperspectral image and signal processing. Applications of interest include environment monitoring, disaster response, defense, and biomedical imaging.