What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Electrical engineering
Gunter Niemeyer focuses on Simulation, Input device, Robot end effector, Control theory and Artificial intelligence.
His Simulation research is multidisciplinary, incorporating perspectives in Surgical instrument, Manipulator, Degrees of freedom and Teleoperation.
His Input device study combines topics in areas such as Movement and Display device.
His Robot end effector study incorporates themes from Signal, Robotic arm and Linkage.
His work carried out in the field of Control theory brings together such families of science as Robot and Robot control.
His study looks at the relationship between Artificial intelligence and topics such as Computer vision, which overlap with Surgical site, Surgical procedures, Scale factor and Focus.
His most cited work include:
- Repositioning and reorientation of master/slave relationship in minimally invasive telesurgery (1219 citations)
- Stable adaptive teleoperation (1203 citations)
- Robotic catheter system and methods (1152 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Control theory, Simulation, Haptic technology, Robot and Artificial intelligence.
Gunter Niemeyer has included themes like Control engineering, Motion control, Robot end effector and Telerobotics in his Control theory study.
As a part of the same scientific study, Gunter Niemeyer usually deals with the Robot end effector, concentrating on Input device and frequently concerns with Operator, Workspace and Movement.
His Simulation study integrates concerns from other disciplines, such as Electrical impedance, Motion, Teleoperation and Surgical instrument.
Within one scientific family, he focuses on topics pertaining to Human–computer interaction under Robot, and may sometimes address concerns connected to Invasive surgery.
His work investigates the relationship between Artificial intelligence and topics such as Computer vision that intersect with problems in Virtual reality.
He most often published in these fields:
- Control theory (41.28%)
- Simulation (31.19%)
- Haptic technology (25.69%)
What were the highlights of his more recent work (between 2016-2020)?
- Robot (24.77%)
- Control theory (41.28%)
- Mechanism (6.42%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Robot, Control theory, Mechanism, Actuator and Simulation.
His Human–robot interaction study, which is part of a larger body of work in Robot, is frequently linked to System identification, bridging the gap between disciplines.
His work on Torque and Control theory as part of general Control theory research is frequently linked to Motor movement, thereby connecting diverse disciplines of science.
His Mechanism research incorporates themes from Orientation, Spin and Position.
His biological study spans a wide range of topics, including Bouncing ball dynamics, Thin wall, Interior space and Lateral movement.
His Simulation research includes themes of Motion capture and Trajectory.
Between 2016 and 2020, his most popular works were:
- On the Control and Properties of Supercoiled Polymer Artificial Muscles (59 citations)
- Toward torque control of a KUKA LBR IIWA for physical human-robot interaction (13 citations)
- Catching a real ball in virtual reality (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Electrical engineering
His scientific interests lie mostly in Robot, Trajectory, GRASP, Handover and Human–robot interaction.
His Robot research includes elements of Control theory and Nonlinear system.
His Trajectory research incorporates elements of Simulation, Motion capture and Robustness.
His study in Handover is interdisciplinary in nature, drawing from both Robotics, Social perception, Human–computer interaction, Robotic arm and Social robot.
His Human–robot interaction research is multidisciplinary, relying on both Vibration, Observer, Control theory, Torque and Deflection.
His Artificial intelligence research is multidisciplinary, incorporating elements of Ball and Computer vision.
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