What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Robot
Chien Chern Cheah focuses on Control theory, Robot, Control engineering, Kinematics and Robot kinematics.
His Control theory study incorporates themes from Robot control and Artificial intelligence.
Chien Chern Cheah combines subjects such as Control system and PID controller with his study of Robot.
His research in Control engineering is mostly focused on Control theory.
His research on Kinematics focuses in particular on Inverse kinematics.
His research in Robot kinematics focuses on subjects like Visual servoing, which are connected to Point.
His most cited work include:
- Brief paper: Region-based shape control for a swarm of robots (265 citations)
- Approximate Jacobian control for robots with uncertain kinematics and dynamics (227 citations)
- Adaptive Tracking Control for Robots with Unknown Kinematic and Dynamic Properties (217 citations)
What are the main themes of his work throughout his whole career to date?
Chien Chern Cheah mainly investigates Control theory, Robot, Control engineering, Control theory and Robot kinematics.
The study incorporates disciplines such as Kinematics and Robot control in addition to Control theory.
His Robot study combines topics in areas such as Control system, Artificial neural network and Robustness.
Chien Chern Cheah has included themes like Stability, Iterative learning control, Control, Mobile robot and Trajectory in his Control engineering study.
His research on Control theory also deals with topics like
- Optical tweezers and related Laser,
- Vehicle dynamics together with Remotely operated underwater vehicle.
His studies in Robot kinematics integrate themes in fields like Swarm behaviour and Robust control.
He most often published in these fields:
- Control theory (73.74%)
- Robot (50.84%)
- Control engineering (46.37%)
What were the highlights of his more recent work (between 2017-2021)?
- Control system (22.35%)
- Control theory (73.74%)
- Robot (50.84%)
In recent papers he was focusing on the following fields of study:
His main research concerns Control system, Control theory, Robot, Stability and Control theory.
His research in Control system intersects with topics in Object, Kinematics, Eye tracking and Torque.
The study of Control theory is intertwined with the study of Optical tweezers in a number of ways.
The Robot study combines topics in areas such as Artificial neural network and Control engineering.
His biological study spans a wide range of topics, including Robotic control, Robot control, Task and Human–computer interaction.
Chien Chern Cheah is studying Adaptive control, which is a component of Control theory.
Between 2017 and 2021, his most popular works were:
- Stochastic Control for Orientation and Transportation of Microscopic Objects Using Multiple Optically Driven Robotic Fingertips (12 citations)
- Passive Separation Approach to Adaptive Visual Tracking for Robotic Systems (9 citations)
- Stochastic control for optical manipulation of multiple microscopic objects (9 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Robot
Chien Chern Cheah mainly focuses on Control system, Control theory, Robot, Stochastic control and Stability.
His work deals with themes such as Focus and Artificial intelligence, which intersect with Control theory.
His work carried out in the field of Robot brings together such families of science as Kinematics, Control theory, Eye tracking, Nonlinear system and Observer.
His Kinematics research is multidisciplinary, incorporating elements of Control engineering, Visual servoing and Jacobian matrix and determinant.
The PID controller and Adaptive control research Chien Chern Cheah does as part of his general Control theory study is frequently linked to other disciplines of science, such as Modularity, therefore creating a link between diverse domains of science.
His study in Stability is interdisciplinary in nature, drawing from both Artificial neural network, Robotic control, Tweezers and Human–computer interaction.
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