What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Robot
Robot, Actuator, Control engineering, Simulation and Torque are his primary areas of study.
His study on Robot is covered under Artificial intelligence.
His Actuator study incorporates themes from Work and Position.
Nikos G. Tsagarakis combines subjects such as Haptic technology, Human–computer interaction and Soft robotics with his study of Control engineering.
His research in the fields of Exoskeleton overlaps with other disciplines such as Scheme.
Torque is a primary field of his research addressed under Control theory.
His most cited work include:
- Variable impedance actuators: A review (561 citations)
- Design of HyQ – a hydraulically and electrically actuated quadruped robot: (413 citations)
- Development and Control of a ‘Soft-Actuated’ Exoskeleton for Use in Physiotherapy and Training (273 citations)
What are the main themes of his work throughout his whole career to date?
Nikos G. Tsagarakis focuses on Robot, Control theory, Humanoid robot, Simulation and Control engineering.
His Robot research is classified as research in Artificial intelligence.
The Control theory study combines topics in areas such as Cartesian coordinate system and Stiffness.
His biological study spans a wide range of topics, including Gait, Motion, Robot kinematics and Human–computer interaction.
In his study, which falls under the umbrella issue of Simulation, Teleoperation is strongly linked to Robotic arm.
His Control engineering research includes themes of Robot control and Motion control.
He most often published in these fields:
- Robot (56.82%)
- Control theory (39.28%)
- Humanoid robot (33.15%)
What were the highlights of his more recent work (between 2017-2021)?
- Robot (56.82%)
- Humanoid robot (33.15%)
- Control theory (39.28%)
In recent papers he was focusing on the following fields of study:
His main research concerns Robot, Humanoid robot, Control theory, Artificial intelligence and Control theory.
His Robot research integrates issues from Control engineering, Simulation, Torque, Actuator and Work.
In his research, Muscle fatigue is intimately related to Human–robot interaction, which falls under the overarching field of Simulation.
His Humanoid robot study also includes fields such as
- Motion which intersects with area such as Agile software development and Bipedalism,
- Control most often made with reference to Human–computer interaction.
His Control theory research includes elements of Quadratic programming, Inverse kinematics, Robot kinematics and Stiffness.
His studies deal with areas such as Margin and Computer vision as well as Artificial intelligence.
Between 2017 and 2021, his most popular works were:
- Anticipatory Robot Assistance for the Prevention of Human Static Joint Overloading in Human–Robot Collaboration (43 citations)
- CENTAURO: A Hybrid Locomotion and High Power Resilient Manipulation Platform (31 citations)
- Robot adaptation to human physical fatigue in human---robot co-manipulation (30 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Robot
- Control theory
His scientific interests lie mostly in Robot, Artificial intelligence, Control theory, Humanoid robot and Control theory.
His Robot study integrates concerns from other disciplines, such as Task, Simulation, Torque and Actuator.
He interconnects Variety and Pulley in the investigation of issues within Actuator.
In the subject of general Artificial intelligence, his work in Robotics is often linked to Source code, thereby combining diverse domains of study.
His Control theory study incorporates themes from Work, Robot kinematics, Stiffness and GRASP.
His Humanoid robot study combines topics in areas such as Abstraction layer and Embedded system.
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