What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Robot
Christian Ott spends much of his time researching Robot, Control theory, Control engineering, Torque and Impedance control.
His work on Humanoid robot and Motion planning as part of general Robot study is frequently linked to Point, therefore connecting diverse disciplines of science.
His Control theory research is multidisciplinary, incorporating elements of Electrical impedance and Pivot point.
In the field of Control engineering, his study on Mechatronics overlaps with subjects such as Cartesian coordinate system.
His Torque study integrates concerns from other disciplines, such as Optimization problem and Wrench.
His work investigates the relationship between Impedance control and topics such as Inertia that intersect with problems in Feedback loop and Feed forward.
His most cited work include:
- A Unified Passivity-based Control Framework for Position, Torque and Impedance Control of Flexible Joint Robots (572 citations)
- The DLR lightweight robot : design and control concepts for robots in human environments (416 citations)
- On the Passivity-Based Impedance Control of Flexible Joint Robots (287 citations)
What are the main themes of his work throughout his whole career to date?
Christian Ott mainly focuses on Control theory, Robot, Control theory, Control engineering and Humanoid robot.
His study focuses on the intersection of Control theory and fields such as Robot kinematics with connections in the field of Robot end effector.
His work in Robot covers topics such as Simulation which are related to areas like Robotic arm.
The Control theory study combines topics in areas such as Observer, Control and Inertia.
His Control engineering study combines topics in areas such as Stability, Robot control, Stiffness and Soft robotics.
In his work, Hidden Markov model is strongly intertwined with Motion, which is a subfield of Humanoid robot.
He most often published in these fields:
- Control theory (65.00%)
- Robot (50.00%)
- Control theory (31.25%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (65.00%)
- Robot (50.00%)
- Control theory (31.25%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Control theory, Robot, Control theory, Torque and Passivity.
His Control theory study combines topics from a wide range of disciplines, such as Work, Control and Wrench.
His work deals with themes such as Manipulator, Coupling and Actuator, which intersect with Robot.
Christian Ott has included themes like Inertial measurement unit, Humanoid robot, Exponential stability and Task in his Control theory study.
His Humanoid robot research incorporates themes from Control engineering and Visual servoing.
His Torque research is multidisciplinary, relying on both Control system and Dynamics.
Between 2018 and 2021, his most popular works were:
- Humanoid Robots in Aircraft Manufacturing: The Airbus Use Cases (13 citations)
- Development of SAM: cable-Suspended Aerial Manipulator * (13 citations)
- Hierarchical Impedance-Based Tracking Control of Kinematically Redundant Robots (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Mechanical engineering
Christian Ott mostly deals with Control theory, Robot, Control theory, Torque and Manipulator.
His research on Control theory focuses in particular on Passivity.
His study in Robot focuses on Robot end effector and Teleoperation.
His work carried out in the field of Robot end effector brings together such families of science as Control engineering, Robot kinematics and Task analysis.
His Control theory research is multidisciplinary, incorporating perspectives in Humanoid robot and Wrench.
Christian Ott has researched Torque in several fields, including Control system, Exponential stability, Observer, Work and Trajectory.
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