2022 - Research.com Computer Science in Portugal Leader Award
His primary areas of study are Artificial intelligence, Computer vision, Robot, Robotics and Mobile robot. The concepts of his Artificial intelligence study are interwoven with issues in Affordance and Human–computer interaction. José Santos-Victor studied Computer vision and Mobile robot navigation that intersect with Metric.
The various areas that he examines in his Robot study include Control theory, Artificial neural network, Gait, Manifold and Simulation. His Robotics research includes themes of Acoustics, Cognition and Embodied cognition. His work carried out in the field of Mobile robot brings together such families of science as Navigation system, Robustness and Configuration space.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Robot, Humanoid robot and Mobile robot. His Artificial intelligence research includes themes of Machine learning and Pattern recognition. His Computer vision study frequently draws connections to adjacent fields such as Mobile robot navigation.
His Robot research integrates issues from Affordance and Human–computer interaction. The study incorporates disciplines such as Motion and Imitation in addition to Human–computer interaction. His Humanoid robot research is multidisciplinary, relying on both Robot learning, Simulation and Cognitive robotics.
José Santos-Victor mainly investigates Robot, Artificial intelligence, Human–computer interaction, Object and iCub. His Robot research is multidisciplinary, incorporating perspectives in Control, Table and Embodied cognition. The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and Computer vision.
His Computer vision study combines topics in areas such as Data set and Eye movement. In his work, Control theory and Inverse kinematics is strongly intertwined with Robot kinematics, which is a subfield of Human–computer interaction. José Santos-Victor interconnects Motion and Motor behaviour in the investigation of issues within iCub.
Artificial intelligence, Robot, iCub, Human–computer interaction and Object are his primary areas of study. His study looks at the relationship between Artificial intelligence and fields such as Computer vision, as well as how they intersect with chemical problems. Specifically, his work in Robot is concerned with the study of Robotics.
His Robotics study combines topics from a wide range of disciplines, such as Visual perception, Affordance and Cognitive robotics. He has included themes like Supervised learning, Control, Impedance control and Reinforcement learning in his Human–computer interaction study. His Humanoid robot study incorporates themes from Robot learning, Sensory cue, Gaze and Service robot.
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The iCub humanoid robot: An open-systems platform for research in cognitive development
Giorgio Metta;Lorenzo Natale;Francesco Nori;Giulio Sandini.
Neural Networks (2010)
Learning Object Affordances: From Sensory--Motor Coordination to Imitation
L. Montesano;M. Lopes;A. Bernardino;J. Santos-Victor.
IEEE Transactions on Robotics (2008)
Vision-based navigation and environmental representations with an omnidirectional camera
J. Gaspar;N. Winters;J. Santos-Victor.
international conference on robotics and automation (2000)
Omni-directional vision for robot navigation
N. Winters;J. Gaspar;G. Lacey;J. Santos-Victor.
Proceedings IEEE Workshop on Omnidirectional Vision (Cat. No.PR00704) (2000)
iCub: the design and realization of an open humanoid platform for cognitive and neuroscience research
Nikolaos G. Tsagarakis;Giorgio Metta;Giulio Sandini;David Vernon.
Advanced Robotics (2007)
Divergent stereo in autonomous navigation: from bees to robots
José Santos-Victor;Giulio Sandini;Francesca Curotto;Stefano Garibaldi.
International Journal of Computer Vision (1995)
Underwater Video Mosaics as Visual Navigation Maps
Nuno Gracias;José Santos-Victor.
computer vision and pattern recognition (2000)
Design of the robot-cub (iCub) head
R. Beira;M. Lopes;M. Praca;J. Santos-Victor.
international conference on robotics and automation (2006)
Multimodal saliency-based bottom-up attention a framework for the humanoid robot iCub
J. Ruesch;M. Lopes;A. Bernardino;J. Hornstein.
international conference on robotics and automation (2008)
Mosaic-based navigation for autonomous underwater vehicles
N.R. Gracias;S. van der Zwaan;A. Bernardino;J. Santos-Victor.
IEEE Journal of Oceanic Engineering (2003)
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