What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Robotics
His primary areas of investigation include Underwater, Control engineering, Control system, Mobile robot and Control theory.
His research integrates issues of Remotely operated underwater vehicle, Intervention AUV, Motion planning, Real-time computing and Simulation in his study of Underwater.
Junku Yuh has included themes like Underwater robotics and Vehicle dynamics in his Simulation study.
His work on Adaptive control as part of his general Control engineering study is frequently connected to System bus, thereby bridging the divide between different branches of science.
His Control system research is multidisciplinary, incorporating elements of Motion control and Nonlinear system.
His Nonlinear system research includes themes of Artificial neural network and Robustness.
His most cited work include:
- Design and Control of Autonomous Underwater Robots: A Survey (484 citations)
- Modeling and control of underwater robotic vehicles (224 citations)
- Underwater autonomous manipulation for intervention missions AUVs (219 citations)
What are the main themes of his work throughout his whole career to date?
Junku Yuh mainly focuses on Underwater, Control engineering, Control theory, Mobile robot and Control system.
His Underwater research integrates issues from Remotely operated underwater vehicle, Intervention AUV, Simulation, Artificial intelligence and Nonlinear system.
His Control engineering study focuses on Adaptive control in particular.
His study in the field of Control theory, Robust control and Trajectory is also linked to topics like Gravitational singularity.
The Mobile robot study which covers Motion planning that intersects with Marine engineering.
He has researched Control system in several fields, including Robot control and Vehicle dynamics.
He most often published in these fields:
- Underwater (51.85%)
- Control engineering (42.59%)
- Control theory (35.19%)
What were the highlights of his more recent work (between 2005-2016)?
- Underwater (51.85%)
- Artificial intelligence (17.59%)
- Remotely operated underwater vehicle (24.07%)
In recent papers he was focusing on the following fields of study:
Junku Yuh focuses on Underwater, Artificial intelligence, Remotely operated underwater vehicle, Simulation and Robotics.
His Underwater research is multidisciplinary, relying on both Intervention AUV, Control engineering, Real-time computing, Teleoperation and Visual servoing.
His Control engineering study incorporates themes from Mechanical system and Robot kinematics.
His work on Robot and Artificial neural network is typically connected to Range as part of general Artificial intelligence study, connecting several disciplines of science.
As a part of the same scientific family, Junku Yuh mostly works in the field of Remotely operated underwater vehicle, focusing on Seafloor spreading and, on occasion, Pacific ocean.
The study incorporates disciplines such as Agent Vehicle, Remotely operated vehicle and Robot end effector in addition to Simulation.
Between 2005 and 2016, his most popular works were:
- Underwater autonomous manipulation for intervention missions AUVs (219 citations)
- Low-voltage indium gallium zinc oxide thin film transistors on paper substrates (67 citations)
- Applications of marine robotic vehicles (66 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Robotics
His main research concerns Remotely operated underwater vehicle, Underwater, Artificial intelligence, Subthreshold conduction and Optoelectronics.
The various areas that Junku Yuh examines in his Underwater study include Image sensor, Seafloor spreading and Cognitive neuroscience of visual object recognition.
His work on Robotics, Personal robot and Robot as part of general Artificial intelligence study is frequently linked to Reliability, therefore connecting diverse disciplines of science.
His biological study spans a wide range of topics, including Simulation, Service, Medical robotics and Library science.
Many of his studies involve connections with topics such as Control engineering and Robot.
His Electron mobility study in the realm of Optoelectronics interacts with subjects such as Cyclotene, Indium gallium zinc oxide and Barrier layer.
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