Scholar
José Santos-Victor
Google Scholar ID: ZMuNAXQAAAAJ
Institute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ Lisboa
Citations & Impact
Citations
3,010
H-index
27
i10-index
68
Publications
20
Co-authors
38
list available
Publications
Resume (English only)
Academic Achievements
- IEEE Fellow – for 'Contributions to biologically-inspired cognitive vision and humanoid robotic systems'
- ELLIS Fellow – European Laboratory for Learning and Intelligent Systems
- Correspondent Member of the Academy of Sciences of Lisbon
- IST Distinguished Professor
- Supervised numerous PhD students in joint programs with institutions including EPFL, Politecnico di Milano, Sapienza University of Rome, and Waseda University
- Publications available via Google Scholar, ResearchGate, ORCID, DBLP, and the Vislab website
Research Experience
- Full Professor, Department of Electrical & Computer Engineering, Instituto Superior Técnico, Universidade de Lisboa
- Member of the Institute of Systems and Robotics (ISR)
- Coordinator of LARSyS – Laboratory of Robotics and Engineering Systems
- Coordinator of the international PhD Program RBCog – Robotics, Brain and Cognition (funded by FCT)
- Coordinator of the RBCog-Lab research infrastructure (part of the Portuguese Roadmap for Research Infrastructures)
- President of ISR-Lisboa (2015–2022)
- Chair of the Department of Electrical and Computer Engineering, IST (2021–2024)
- Coordinator of the Associated Laboratory LARSyS
- Member of the Supervisory Board of EIT Innoenergy (2011–2023)
Background
- Research interests focus on computer and robot vision
- Aims to develop artificial (robotic) systems that use vision and other sensing modalities to 'understand' the world
- Investigates, models, and understands how vision is used in biological systems such as insects and humans
- Works on vision-based navigation, motion perception, and control, including closed-loop use of visual information for mapping and control of land, air, and underwater vehicles
- Designs task-specific camera geometries (e.g., omnidirectional and space-variant cameras), inspired by biological solutions
- Another major focus is cognitive humanoid systems, collaborating with neuroscientists and developmental psychologists to understand human cognition, sensorimotor coordination, and learning
- Proposed mirror neuron models to enhance robot capabilities in human action recognition, imitation, and programming by demonstration
- Developed object affordance models to improve robotic object manipulation, language grounding, and functional tool selection
