What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Robot
Bram Vanderborght mostly deals with Actuator, Robot, Simulation, Control theory and Control engineering.
The study incorporates disciplines such as Stiffness, Energy consumption, Torque, Efficient energy use and Mechanical equilibrium in addition to Actuator.
The subject of his Robot research is within the realm of Artificial intelligence.
His work on Exoskeleton as part of general Simulation study is frequently linked to Focus, bridging the gap between disciplines.
His Control theory research incorporates elements of Preferred walking speed, Signal and Robot end effector.
He combines subjects such as Mechanical engineering, Work and Soft robotics with his study of Control engineering.
His most cited work include:
- Compliant actuator designs (589 citations)
- Variable impedance actuators: A review (561 citations)
- MACCEPA, the mechanically adjustable compliance and controllable equilibrium position actuator: Design and implementation in a biped robot (284 citations)
What are the main themes of his work throughout his whole career to date?
Bram Vanderborght mainly focuses on Robot, Actuator, Control theory, Simulation and Artificial intelligence.
His studies link Human–computer interaction with Robot.
His Actuator research includes elements of Stiffness, Control engineering, Torque, Efficient energy use and Mechanical equilibrium.
His Torque study combines topics from a wide range of disciplines, such as Work, Servomotor and Mechanism.
Control theory is frequently linked to Energy consumption in his study.
His study in Simulation is interdisciplinary in nature, drawing from both Pneumatic actuator and Motion control.
He most often published in these fields:
- Robot (42.05%)
- Actuator (28.76%)
- Control theory (26.58%)
What were the highlights of his more recent work (between 2017-2021)?
- Robot (42.05%)
- Actuator (28.76%)
- Human–computer interaction (14.16%)
In recent papers he was focusing on the following fields of study:
Bram Vanderborght focuses on Robot, Actuator, Human–computer interaction, Control theory and Torque.
His Robot research entails a greater understanding of Artificial intelligence.
The various areas that Bram Vanderborght examines in his Actuator study include Drivetrain, Energy consumption, Mechanical engineering, Work and Efficient energy use.
His Control theory research is multidisciplinary, relying on both Elasticity and Motion control.
His Torque research is multidisciplinary, incorporating elements of Test bench, Simulation, Exoskeleton, Electric motor and Stiffness.
His work carried out in the field of Wearable computer brings together such families of science as Control engineering and Automotive engineering.
Between 2017 and 2021, his most popular works were:
- Passive Back Support Exoskeleton Improves Range of Motion Using Flexible Beams. (54 citations)
- Misalignment Compensation for Full Human-Exoskeleton Kinematic Compatibility: State of the Art and Evaluation (25 citations)
- ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses. (25 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Electrical engineering
Actuator, Robot, Control theory, Torque and Simulation are his primary areas of study.
Bram Vanderborght interconnects Mechanical engineering, Efficient energy use, Control engineering and Prosthesis in the investigation of issues within Actuator.
His studies in Robot integrate themes in fields like Social skills and Human–computer interaction.
His Control theory study integrates concerns from other disciplines, such as Energy consumption, Elasticity, Exoskeleton Device and Powered exoskeleton.
His biological study spans a wide range of topics, including Control system and Focus.
His study looks at the relationship between Simulation and topics such as Compensation, which overlap with Payload, Mobile robot and Robotic arm.
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