What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Electrical engineering
Satoshi Tadokoro mainly focuses on Robot, Rescue robot, Artificial intelligence, Actuator and Simulation.
The study incorporates disciplines such as Construction engineering and Control theory in addition to Robot.
Satoshi Tadokoro has researched Rescue robot in several fields, including Rubble, Systems engineering, Matching, Aeronautics and Forensic engineering.
His Artificial intelligence research is multidisciplinary, relying on both Human–computer interaction and Computer vision.
His Actuator research is multidisciplinary, incorporating elements of Composite number, Composite material, Nonlinear system and Voltage.
His Simulation research focuses on subjects like Kinematics, which are linked to Redundancy, Equations of motion and Parallel port.
His most cited work include:
- Emergency response to the nuclear accident at the Fukushima Daiichi Nuclear Power Plants using mobile rescue robots (349 citations)
- Collaborative mapping of an earthquake-damaged building via ground and aerial robots (279 citations)
- RoboCup Rescue: search and rescue in large-scale disasters as a domain for autonomous agents research (273 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Artificial intelligence, Robot, Computer vision, Simulation and Mechanism.
The various areas that Satoshi Tadokoro examines in his Artificial intelligence study include Vibration and Systems engineering.
His work in Robot addresses subjects such as Mechanical engineering, which are connected to disciplines such as Actuator.
His studies in Computer vision integrate themes in fields like Haptic technology and Tactile sensor.
His research integrates issues of Control theory and Omnidirectional antenna in his study of Mechanism.
His Human–computer interaction research extends to Rescue robot, which is thematically connected.
He most often published in these fields:
- Artificial intelligence (29.93%)
- Robot (29.39%)
- Computer vision (17.41%)
What were the highlights of his more recent work (between 2018-2021)?
- Robot (29.39%)
- Mechanism (12.24%)
- Artificial intelligence (29.93%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Robot, Mechanism, Artificial intelligence, Mechanical engineering and Robotics.
Satoshi Tadokoro combines subjects such as Collision, Simulation and Actuator with his study of Robot.
His biological study spans a wide range of topics, including Mechanics, Composite material, Control theory and Spring.
Satoshi Tadokoro has included themes like Computer vision and GRASP in his Artificial intelligence study.
The Computer vision study combines topics in areas such as Lidar and Hidden Markov model.
Satoshi Tadokoro interconnects Preparedness, Engineering ethics, Construction engineering and Search and rescue in the investigation of issues within Robotics.
Between 2018 and 2021, his most popular works were:
- The World robot summit disaster robotics category – achievements of the 2018 preliminary competition (12 citations)
- Development and Experimental Validation of Aerial Vehicle With Passive Rotating Shell on Each Rotor (10 citations)
- Enhanced path smoothing based on conjugate gradient descent for firefighting robots in petrochemical complexes (6 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Electrical engineering
His scientific interests lie mostly in Robot, Artificial intelligence, Robotics, Mechanism and Mechanical engineering.
His work on Simulation expands to the thematically related Robot.
His research in Artificial intelligence intersects with topics in Computer vision and Impact.
He interconnects Systems engineering, Applied psychology and GRASP in the investigation of issues within Robotics.
His Mechanism research is multidisciplinary, incorporating elements of Grippers, Spring, Magnet and Nonlinear system.
His Mechanical engineering study incorporates themes from Nemertea and High power density.
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