What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Robotics
- Robot
The scientist’s investigation covers issues in Simulation, Exoskeleton, Wearable computer, Robot and Gait.
The various areas that Nicola Vitiello examines in her Simulation study include Tactile sensor, Pressure sensor, Gait analysis, Torque and Artificial intelligence.
Her Exoskeleton study combines topics from a wide range of disciplines, such as Rehabilitation, Thumb, Mechanism and Human–computer interaction.
Her work in Rehabilitation addresses issues such as Closed position, which are connected to fields such as Physical medicine and rehabilitation.
Her work in Wearable computer tackles topics such as Underactuation which are related to areas like Mechatronics, Index finger, Post stroke rehabilitation and Degrees of freedom.
Her research investigates the link between Robot and topics such as Control engineering that cross with problems in Movement and Envelope.
Her most cited work include:
- Review of assistive strategies in powered lower-limb orthoses and exoskeletons (327 citations)
- Intention-Based EMG Control for Powered Exoskeletons (230 citations)
- NEUROExos: A Powered Elbow Exoskeleton for Physical Rehabilitation (170 citations)
What are the main themes of her work throughout her whole career to date?
Nicola Vitiello focuses on Exoskeleton, Simulation, Physical medicine and rehabilitation, Wearable computer and Robot.
Her work deals with themes such as Control engineering, Elbow, Torque and Artificial intelligence, which intersect with Exoskeleton.
Her work in Simulation covers topics such as Gait analysis which are related to areas like Ground reaction force.
Nicola Vitiello combines subjects such as Rehabilitation, Physical therapy, Pelvis, Lower limb and Electroencephalography with her study of Physical medicine and rehabilitation.
Her research integrates issues of Gait and Haptic technology in her study of Wearable computer.
Her Robot research includes elements of Powered exoskeleton, Degrees of freedom and Human–computer interaction.
She most often published in these fields:
- Exoskeleton (45.27%)
- Simulation (34.83%)
- Physical medicine and rehabilitation (27.86%)
What were the highlights of her more recent work (between 2017-2021)?
- Exoskeleton (45.27%)
- Physical medicine and rehabilitation (27.86%)
- Wearable computer (22.89%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Exoskeleton, Physical medicine and rehabilitation, Wearable computer, Robot and Wearable robot.
Her Exoskeleton study is focused on Simulation in general.
Her work is dedicated to discovering how Simulation, Lift are connected with Erector spinae muscles and Human motion and other disciplines.
The Physical medicine and rehabilitation study combines topics in areas such as Rehabilitation, Electroencephalography, Lower limb, Activities of daily living and Haptic technology.
Nicola Vitiello has researched Robot in several fields, including Control engineering, Degrees of freedom and Human–computer interaction.
Her Wearable robot research incorporates themes from Gait phase, Gait cycle, Heel strike and Control theory.
Between 2017 and 2021, her most popular works were:
- A Real-Time Lift Detection Strategy for a Hip Exoskeleton. (35 citations)
- Feasibility and safety of shared EEG/EOG and vision-guided autonomous whole-arm exoskeleton control to perform activities of daily living. (33 citations)
- Detection of movement onset using EMG signals for upper-limb exoskeletons in reaching tasks. (22 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Robotics
- Mechanical engineering
The scientist’s investigation covers issues in Exoskeleton, Wearable computer, Physical medicine and rehabilitation, Simulation and Robot.
Her Exoskeleton research is multidisciplinary, incorporating perspectives in Control system and Actuator, Artificial intelligence.
Her research in Wearable computer intersects with topics in Cognitive load, Stair walking, Usability and Haptic technology.
Her Physical medicine and rehabilitation research is multidisciplinary, incorporating elements of Rehabilitation, Control, Activities of daily living and Electroencephalography.
Her study in Simulation is interdisciplinary in nature, drawing from both Torque, Task analysis and Kinematic coupling.
Her work deals with themes such as Motor skill and Human–computer interaction, which intersect with Robot.
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