What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Control theory
Kazuhiro Kosuge mostly deals with Robot, Control engineering, Control theory, Mobile robot and Motion control.
His Robot research integrates issues from Object and Control theory.
The various areas that he examines in his Control engineering study include Control system, Stability, Function, Control and Six degrees of freedom.
His research in Control theory intersects with topics in Impedance control and Robotic arm.
His research integrates issues of Robot end effector, Dance, Simulation and Caster in his study of Mobile robot.
His Motion control research includes elements of Motion estimation, Servo, Passive dynamics and Dynamics.
His most cited work include:
- Effect of genetic differences in omeprazole metabolism on cure rates for Helicobacter pylori infection and peptic ulcer. (309 citations)
- CYP2C19 genotype status and effect of omeprazole on intragastric pH in humans (257 citations)
- Analytical Inverse Kinematic Computation for 7-DOF Redundant Manipulators With Joint Limits and Its Application to Redundancy Resolution (173 citations)
What are the main themes of his work throughout his whole career to date?
Kazuhiro Kosuge mostly deals with Robot, Control engineering, Control theory, Artificial intelligence and Mobile robot.
His studies deal with areas such as Object and Simulation as well as Robot.
His work is dedicated to discovering how Control engineering, Servo are connected with Brake and other disciplines.
His Control theory study frequently intersects with other fields, such as Kinematics.
Kazuhiro Kosuge has researched Artificial intelligence in several fields, including Human–computer interaction and Computer vision.
Kazuhiro Kosuge combines subjects such as Dance, Robot end effector and Motion planning with his study of Mobile robot.
He most often published in these fields:
- Robot (42.28%)
- Control engineering (33.96%)
- Control theory (30.39%)
What were the highlights of his more recent work (between 2014-2021)?
- Robot (42.28%)
- Artificial intelligence (26.99%)
- Computer vision (13.75%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Robot, Artificial intelligence, Computer vision, Control theory and Simulation.
His work deals with themes such as Control engineering, Task and Human–computer interaction, which intersect with Robot.
His Object, Motion and Feature extraction study in the realm of Computer vision interacts with subjects such as Set.
His Control theory research includes themes of Robot kinematics, Cart and Configuration space.
Robot kinematics is a primary field of his research addressed under Mobile robot.
His biological study deals with issues like Torque, which deal with fields such as Spring.
Between 2014 and 2021, his most popular works were:
- Progress and prospects of the human---robot collaboration (143 citations)
- Determination of creatinine-related molecules in saliva by reversed-phase liquid chromatography with tandem mass spectrometry and the evaluation of hemodialysis in chronic kidney disease patients (19 citations)
- Dance Teaching by a Robot: Combining Cognitive and Physical Human–Robot Interaction for Supporting the Skill Learning Process (18 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Robot
His main research concerns Robot, Artificial intelligence, Human–robot interaction, Control theory and Trajectory.
His Robot study combines topics in areas such as Control engineering, Kalman filter and Simulation.
The study incorporates disciplines such as State and Computer vision in addition to Artificial intelligence.
His Control theory research incorporates themes from Admittance, Kinematics and Robot kinematics, Mobile robot.
His studies in Trajectory integrate themes in fields like Workspace, Tracking, Motion control and Experimental system.
His Robot control study combines topics in areas such as Human-in-the-loop and Benchmarking.
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