What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Geometry
J. De Schutter spends much of his time researching Control theory, Robot, Control engineering, Motion control and Industrial robot.
His Robot research is under the purview of Artificial intelligence.
His study in Control engineering is interdisciplinary in nature, drawing from both Robot motion, Structure, Simulation, Robot control and Resolution.
His work in Motion control tackles topics such as Adaptive control which are related to areas like Motion estimation and Social robot.
His research integrates issues of Mathematical optimization, Optimal control, Motion planning and Convex optimization in his study of Robot kinematics.
The concepts of his Robotics study are interwoven with issues in Tracking error, Robot end effector and Feed forward.
His most cited work include:
- KRAS wild-type state predicts survival and is associated to early radiological response in metastatic colorectal cancer treated with cetuximab (736 citations)
- Optimal robot excitation and identification (373 citations)
- Time-Optimal Path Tracking for Robots: A Convex Optimization Approach (333 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Control theory, Robot, Control engineering, Artificial intelligence and Motion control.
His work investigates the relationship between Control theory and topics such as Mathematical optimization that intersect with problems in Convex optimization and Spline.
His work deals with themes such as Motion and Simulation, which intersect with Robot.
His Control engineering study which covers Task that intersects with Object.
His Artificial intelligence research includes elements of Algorithm and Computer vision.
His Motion control research is multidisciplinary, incorporating perspectives in Adaptive control and Robust control.
He most often published in these fields:
- Control theory (45.98%)
- Robot (36.21%)
- Control engineering (26.44%)
What were the highlights of his more recent work (between 2008-2016)?
- Control theory (45.98%)
- Mathematical optimization (9.20%)
- Torque (9.20%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Control theory, Mathematical optimization, Torque, Convex optimization and Gait.
His work carried out in the field of Control theory brings together such families of science as Simple and Simulation.
His Simulation study incorporates themes from Robotics, System identification, Inverse dynamics and Artificial intelligence.
His Control theory study introduces a deeper knowledge of Control engineering.
His study explores the link between Control engineering and topics such as Automation that cross with problems in Video tracking.
His biological study spans a wide range of topics, including Robot, Robot kinematics and Mobile robot.
Between 2008 and 2016, his most popular works were:
- Time-Optimal Path Tracking for Robots: A Convex Optimization Approach (333 citations)
- Sensitivity of dynamic simulations of gait and dynamometer experiments to hill muscle model parameters of knee flexors and extensors (66 citations)
- A physiology based inverse dynamic analysis of human gait: potential and perspectives. (39 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Geometry
His scientific interests lie mostly in Control theory, Sensitivity, Motion control, Optimal control and Biomechanics.
His research is interdisciplinary, bridging the disciplines of Simulation and Control theory.
His Sensitivity study combines topics from a wide range of disciplines, such as Control theory, Adaptive control, Repetitive control and Setpoint.
His study on Motion control is covered under Robot.
His Optimal control research is multidisciplinary, relying on both Motion planning and Robustness.
The Biomechanics study which covers Gait that intersects with Isometric exercise, Torque and Physical therapy.
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