What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Internal medicine
- Mechanical engineering
Makoto Kaneko focuses on Control theory, Robot, Actuator, Simulation and Stiffness.
His Control theory study integrates concerns from other disciplines, such as Development and Pulley.
His Robot research includes elements of Time base generator, Control engineering, Object, Constant and Robustness.
His Actuator study also includes
- Torque sensor together with Antenna,
- Position sensor which intersects with area such as Active antenna.
His research in Simulation intersects with topics in Artificial neural network, Motion, Adaptive control and Machine vision.
His work deals with themes such as Acoustics, Biomechanics, Electrical impedance, Human eye and Mechanics, which intersect with Stiffness.
His most cited work include:
- A human-assisting manipulator teleoperated by EMG signals and arm motions (429 citations)
- Development of a high-speed multifingered hand system and its application to catching (233 citations)
- Active antenna for contact sensing (142 citations)
What are the main themes of his work throughout his whole career to date?
Makoto Kaneko mainly investigates Control theory, Artificial intelligence, Computer vision, Robot and Stiffness.
His study in Control theory is interdisciplinary in nature, drawing from both Control engineering and Point.
His Computer vision study integrates concerns from other disciplines, such as Mechanism, Robot hand and Tactile sensor.
His studies deal with areas such as Simulation and Trajectory as well as Robot.
His biological study deals with issues like Acoustics, which deal with fields such as Active antenna.
The various areas that Makoto Kaneko examines in his Object study include Surface and Position.
He most often published in these fields:
- Control theory (22.06%)
- Artificial intelligence (18.43%)
- Computer vision (14.51%)
What were the highlights of his more recent work (between 2014-2021)?
- Microfluidics (5.52%)
- Mechanics (5.95%)
- Acoustics (11.47%)
In recent papers he was focusing on the following fields of study:
Makoto Kaneko mostly deals with Microfluidics, Mechanics, Acoustics, Microchannel and Microfluidic channel.
His Microfluidics research incorporates themes from Flow, Reynolds number, Deformation and Optics.
His research integrates issues of Artificial intelligence and Computer vision in his study of Optics.
Makoto Kaneko interconnects Pressure control, Electrical engineering and Position in the investigation of issues within Acoustics.
His Microchannel study also includes fields such as
- Stiffness and related Biomedical engineering,
- Red blood cell that connect with fields like Viscoelasticity and Biophysics.
His Actuator study contributes to a more complete understanding of Control theory.
Between 2014 and 2021, his most popular works were:
- Mechanical diagnosis of human erythrocytes by ultra-high speed manipulation unraveled critical time window for global cytoskeletal remodeling (24 citations)
- An On-Chip RBC Deformability Checker Significantly Improves Velocity-Deformation Correlation. (21 citations)
- Arterial graft with elastic layer structure grown from cells. (20 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Internal medicine
- Mechanical engineering
His main research concerns Microfluidics, Biophysics, Optics, Deformation and Flow.
His Microfluidics study combines topics from a wide range of disciplines, such as Syringe driver, Microchannel, Mechanics and Inertia.
The concepts of his Optics study are interwoven with issues in Cell deformation and Correlation.
His Flow study incorporates themes from Vortex, Lab-on-a-chip and Control theory.
His research links Control engineering with Control theory.
His work investigates the relationship between Resonance and topics such as Acoustics that intersect with problems in Simulation.
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