What is he best known for?
The fields of study he is best known for:
- Control theory
- Mechanical engineering
- Artificial intelligence
Jan Tommy Gravdahl mostly deals with Control theory, Robot, Control engineering, Mobile robot and Robot locomotion.
He has researched Control theory in several fields, including Gas compressor and Surge control.
Jan Tommy Gravdahl focuses mostly in the field of Mobile robot, narrowing it down to topics relating to Simulation and, in certain cases, Control reconfiguration and Automatic control.
His research investigates the connection between Robot locomotion and topics such as Contact force that intersect with issues in Actuator and Torque sensor.
His work investigates the relationship between Control theory and topics such as Undulatory locomotion that intersect with problems in Inertial frame of reference.
His Exponential stability research is multidisciplinary, relying on both Control system, Integrator, Lyapunov function and Nonlinear control.
His most cited work include:
- Modeling and simulation for automatic control (196 citations)
- Satellite Attitude Control by Quaternion-Based Backstepping (154 citations)
- Brief paper: Spacecraft coordination control in 6DOF: Integrator backstepping vs passivity-based control (154 citations)
What are the main themes of his work throughout his whole career to date?
Jan Tommy Gravdahl spends much of his time researching Control theory, Robot, Control engineering, Control theory and Exponential stability.
His Control theory research includes themes of Gas compressor, Kinematics and Surge control.
His Robot research is within the category of Artificial intelligence.
His studies examine the connections between Control theory and genetics, as well as such issues in Trajectory, with regards to Tracking.
His Exponential stability study incorporates themes from Spacecraft, Equilibrium point and Lyapunov function.
His research in Backstepping tackles topics such as Quaternion which are related to areas like Attitude control.
He most often published in these fields:
- Control theory (61.82%)
- Robot (30.91%)
- Control engineering (21.82%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (61.82%)
- Robot (30.91%)
- Control theory (17.09%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Control theory, Robot, Control theory, Trajectory and Kinematics.
He integrates many fields in his works, including Control theory and Gait.
His study in the fields of Undulatory locomotion under the domain of Robot overlaps with other disciplines such as Fish fin.
His research in Control theory intersects with topics in Exponential stability, Dynamic pressure, Simulation, Torque and Horizontal plane.
He has included themes like Tracking and Six degrees of freedom in his Trajectory study.
The various areas that Jan Tommy Gravdahl examines in his Kinematics study include Control engineering, Robot kinematics, Marine engineering and Task.
Between 2016 and 2021, his most popular works were:
- Integral Line-of-Sight Guidance for Path Following Control of Underwater Snake Robots: Theory and Experiments (44 citations)
- Robotic in-row weed control in vegetables (20 citations)
- The Underwater Swimming Manipulator—A Bioinspired Solution for Subsea Operations (19 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mechanical engineering
- Artificial intelligence
Jan Tommy Gravdahl mostly deals with Robot, Control theory, Trajectory, Algorithm and Tracking.
His Robot study results in a more complete grasp of Artificial intelligence.
Jan Tommy Gravdahl combines subjects such as Kinematics, Undulatory locomotion and Demodulation with his study of Control theory.
The concepts of his Kinematics study are interwoven with issues in Control system, Normal and Spray painting.
His Undulatory locomotion study combines topics from a wide range of disciplines, such as Maximization, Line-of-sight and Inertial frame of reference.
His research integrates issues of Discretization, Simulation and Torque in his study of Control theory.
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