What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Electrical engineering
Shigeki Sugano spends much of his time researching Robot, Artificial intelligence, Control engineering, Mobile robot and Simulation.
His research on Robot often connects related topics like Human–computer interaction.
His work on Artificial intelligence is being expanded to include thematically relevant topics such as Computer vision.
His work deals with themes such as Mobile manipulator, Stability, Robot finger, Control and Robot kinematics, which intersect with Control engineering.
He combines subjects such as Computer hardware, Adaptive control, Interference and Adaptation with his study of Mobile robot.
His Simulation research incorporates themes from Mechanism and Load cell.
His most cited work include:
- Design of human symbiotic robot TWENDY-ONE (178 citations)
- Design and development of a new robot joint using a mechanical impedance adjuster (147 citations)
- Repeatable Folding Task by Humanoid Robot Worker Using Deep Learning (98 citations)
What are the main themes of his work throughout his whole career to date?
Shigeki Sugano mainly focuses on Robot, Artificial intelligence, Computer vision, Simulation and Control engineering.
As part of his studies on Robot, Shigeki Sugano often connects relevant subjects like Human–computer interaction.
His Artificial intelligence study frequently draws connections between related disciplines such as Task.
His study in Tactile sensor extends to Computer vision with its themes.
His work in Control engineering addresses issues such as Control theory, which are connected to fields such as Motion planning.
Specifically, his work in Robot control is concerned with the study of Social robot.
He most often published in these fields:
- Robot (39.30%)
- Artificial intelligence (33.07%)
- Computer vision (17.25%)
What were the highlights of his more recent work (between 2018-2021)?
- Robot (39.30%)
- Artificial intelligence (33.07%)
- Computer vision (17.25%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Robot, Artificial intelligence, Computer vision, Human–computer interaction and Tactile sensor.
His work carried out in the field of Robot brings together such families of science as Electromagnet, Hall effect sensor, Sensitivity, Real-time computing and Development.
His Deep learning, Object, Artificial neural network, Recurrent neural network and Gradient descent investigations are all subjects of Artificial intelligence research.
His Computer vision research integrates issues from Teleoperation and Task.
His Human–computer interaction research is multidisciplinary, incorporating elements of Control, Situation awareness, Driving simulator and Work efficiency.
His Tactile sensor study integrates concerns from other disciplines, such as Mechanism, Process, Displacement, GRASP and Integrally closed.
Between 2018 and 2021, his most popular works were:
- Soft Magnetic Powdery Sensor for Tactile Sensing. (4 citations)
- A Coordinated Wheeled Gas Pipeline Robot Chain System Based on Visible Light Relay Communication and Illuminance Assessment. (4 citations)
- Experimental Investigation of Optimum and Allowable Range of Side Views for Teleoperated Digging and Release Works by Using Actual Construction Machinery (4 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Electrical engineering
Shigeki Sugano mainly focuses on Robot, Artificial intelligence, Computer vision, Tactile sensor and Work efficiency.
His research in Robot is mostly concerned with Human–robot interaction.
The various areas that Shigeki Sugano examines in his Artificial intelligence study include Dynamical system and Viscosity.
His study in the fields of Object under the domain of Computer vision overlaps with other disciplines such as Gait phase detection.
His Tactile sensor research includes elements of Flexible electronics, Mechanism, Process and GRASP.
His Work efficiency study also includes fields such as
- Teleoperation that intertwine with fields like Visual saliency, Work time, Multiple view and Focus,
- Scale model which is related to area like Control theory, Remote control and Rotation.
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