What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Statistics
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 most cited work include:
- The iCub humanoid robot: An open-systems platform for research in cognitive development (398 citations)
- Learning Object Affordances: From Sensory--Motor Coordination to Imitation (313 citations)
- Vision-based navigation and environmental representations with an omnidirectional camera (292 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Artificial intelligence (75.98%)
- Computer vision (52.76%)
- Robot (38.98%)
What were the highlights of his more recent work (between 2017-2021)?
- Robot (38.98%)
- Artificial intelligence (75.98%)
- Human–computer interaction (14.96%)
In recent papers he was focusing on the following fields of study:
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.
Between 2017 and 2021, his most popular works were:
- Affordances in Psychology, Neuroscience, and Robotics: A Survey (85 citations)
- Action Anticipation: Reading the Intentions of Humans and Robots (24 citations)
- Anticipation in Human-Robot Cooperation: A Recurrent Neural Network Approach for Multiple Action Sequences Prediction (19 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Statistics
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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