What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Quantum mechanics
- Machine learning
Artificial intelligence, Robot, Humanoid robot, Computer vision and Robotics are his primary areas of study.
His study in the field of Active vision is also linked to topics like Structure.
The Robot study combines topics in areas such as Simulation and Human–computer interaction.
Yasuo Kuniyoshi usually deals with Human–computer interaction and limits it to topics linked to Task and Intelligent control and Workspace.
His studies deal with areas such as Control engineering, Motion, Adaptive control and Motion control as well as Humanoid robot.
The various areas that Yasuo Kuniyoshi examines in his Robotics study include Autonomous agent and Adaptive system.
His most cited work include:
- RoboCup: The Robot World Cup Initiative (682 citations)
- Learning by watching: extracting reusable task knowledge from visual observation of human performance (648 citations)
- Cognitive Developmental Robotics: A Survey (414 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Robot, Computer vision, Humanoid robot and Simulation.
The Artificial intelligence study combines topics in areas such as Human–computer interaction and Pattern recognition.
Yasuo Kuniyoshi combines topics linked to Feature with his work on Pattern recognition.
His studies deal with areas such as Task and Control theory as well as Robot.
Computer vision is closely attributed to Tactile sensor in his study.
His Humanoid robot research includes themes of Control engineering, Trajectory and Motion control.
He most often published in these fields:
- Artificial intelligence (48.09%)
- Robot (26.97%)
- Computer vision (22.39%)
What were the highlights of his more recent work (between 2015-2021)?
- Robot (26.97%)
- Artificial intelligence (48.09%)
- Simulation (10.69%)
In recent papers he was focusing on the following fields of study:
Yasuo Kuniyoshi focuses on Robot, Artificial intelligence, Simulation, Computer vision and Reinforcement learning.
Yasuo Kuniyoshi focuses mostly in the field of Robot, narrowing it down to matters related to Jumping and, in some cases, Torque.
Yasuo Kuniyoshi performs integrative Artificial intelligence and Mental health research in his work.
Yasuo Kuniyoshi interconnects Humanoid robot, Point, Actuator and Robotic arm in the investigation of issues within Simulation.
His Computer vision research is multidisciplinary, incorporating perspectives in Visualization and Haptic technology.
The concepts of his Reinforcement learning study are interwoven with issues in Imitation, Baseline, Noise and Action.
Between 2015 and 2021, his most popular works were:
- An Embodied Brain Model of the Human Foetus. (57 citations)
- Restoring movement representation and alleviating phantom limb pain through short-term neurorehabilitation with a virtual reality system. (31 citations)
- Somatosensory Feedback to the Cheek During Virtual Visual Feedback Therapy Enhances Pain Alleviation for Phantom Arms (17 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Quantum mechanics
- Machine learning
Yasuo Kuniyoshi mainly investigates Robot, Pneumatic actuator, Actuator, Neuroscience and Virtual reality.
His Robot research is within the category of Artificial intelligence.
His research brings together the fields of Computer vision and Artificial intelligence.
His Pneumatic actuator study combines topics from a wide range of disciplines, such as Bellows and Simulation.
The various areas that Yasuo Kuniyoshi examines in his Neuroscience study include Developmental research and Linear model.
His Virtual reality study also includes fields such as
- Rehabilitation together with Electroencephalography, Eeg coherence, Movement and Upper limb,
- Physical medicine and rehabilitation which connect with Task, Sensory system, Visual feedback, Physical therapy and Neurology.
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