What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Robotics
The scientist’s investigation covers issues in Control theory, Biomechanics, Angle of attack, Gait and Mechanics.
His Control theory research is multidisciplinary, relying on both Kinematics, Ground reaction force, Center of mass and Simulation.
Andre Seyfarth has included themes like Human locomotion and Tendon in his Biomechanics study.
His Angle of attack study combines topics from a wide range of disciplines, such as Level and incline running, Phase, Transition from walking to running and Stiffness.
His work carried out in the field of Gait brings together such families of science as Motor control, STRIDE, Reflex, Muscle contraction and Haptic technology.
His Mechanics research includes elements of Parameter space, Mechanical system, Motion and Dynamics.
His most cited work include:
- Compliant leg behaviour explains basic dynamics of walking and running (681 citations)
- A movement criterion for running. (430 citations)
- A movement criterion for running. (430 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Control theory, Robot, Simulation, Actuator and Stiffness.
His research on Control theory frequently links to adjacent areas such as Ground reaction force.
His Robot research includes themes of Control engineering and Gait.
His work deals with themes such as Biomechanics, Human locomotion, Preferred walking speed, Transition from walking to running and Stance phase, which intersect with Simulation.
His work often combines Biomechanics and Constant studies.
His work in Stiffness addresses issues such as Angle of attack, which are connected to fields such as Level and incline running.
He most often published in these fields:
- Control theory (56.42%)
- Robot (29.05%)
- Simulation (30.17%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (56.42%)
- Exoskeleton (6.15%)
- Balance (5.59%)
In recent papers he was focusing on the following fields of study:
Andre Seyfarth mostly deals with Control theory, Exoskeleton, Balance, Robot and Torque.
His Control theory research is multidisciplinary, incorporating elements of Robotics, Reflex and Artificial intelligence.
His research integrates issues of Gait, Control and Haptic technology in his study of Exoskeleton.
His Robot study incorporates themes from Control system, Pneumatic artificial muscles and Actuator.
His Torque study also includes
- Kinematics that connect with fields like Simulation,
- Ankle, which have a strong connection to Preferred walking speed,
- Work which is related to area like Degrees of freedom and Reinforcement learning.
His research in Simulation intersects with topics in Human locomotion and Biomechanics.
Between 2016 and 2021, his most popular works were:
- Mobility related physical and functional losses due to aging and disease - a motivation for lower limb exoskeletons (32 citations)
- Reconstruction of human swing leg motion with passive biarticular muscle models. (19 citations)
- How locomotion sub-functions can control walking at different speeds? (16 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Robotics
His scientific interests lie mostly in Control theory, Simulation, Robot, Exoskeleton and Actuator.
In his study, Sagittal plane is strongly linked to Artificial intelligence, which falls under the umbrella field of Control theory.
His studies in Simulation integrate themes in fields like Human locomotion, Kinematics and Biomechanics.
His biological study spans a wide range of topics, including Ground reaction force, Transition from walking to running, Robot locomotion and Stance phase.
Andre Seyfarth interconnects Control and Pivot point in the investigation of issues within Exoskeleton.
The concepts of his Actuator study are interwoven with issues in Electrical impedance and Electric motor.
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