What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Surgery
His main research concerns Artificial intelligence, Computer vision, Physical medicine and rehabilitation, Physical therapy and Motor control.
The various areas that he examines in his Artificial intelligence study include Kinematic chain and Computer graphics.
He integrates many fields in his works, including Computer vision and Flexibility.
His research integrates issues of Epileptogenic zone, Stereoelectroencephalography and Major complication in his study of Physical medicine and rehabilitation.
His Physical therapy research includes elements of Biceps, Functional electrical stimulation and Gait analysis.
His Motor control research is multidisciplinary, incorporating elements of Basal ganglia and Motor program.
His most cited work include:
- Elite: A Digital Dedicated Hardware System for Movement Analysis Via Real-Time TV Signal Processing (435 citations)
- Chest wall and lung volume estimation by optical reflectance motion analysis (317 citations)
- Human respiratory muscle actions and control during exercise (289 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Physical medicine and rehabilitation, Robot and Simulation.
The concepts of his Artificial intelligence study are interwoven with issues in Position and Pattern recognition.
Giancarlo Ferrigno works in the field of Computer vision, focusing on Motion analysis in particular.
His Physical medicine and rehabilitation research incorporates themes from Rehabilitation, Physical therapy, Functional electrical stimulation and Motor control.
His work in Robot addresses issues such as Control engineering, which are connected to fields such as Control theory.
He is interested in Haptic technology, which is a branch of Simulation.
He most often published in these fields:
- Artificial intelligence (29.95%)
- Computer vision (20.79%)
- Physical medicine and rehabilitation (15.59%)
What were the highlights of his more recent work (between 2015-2021)?
- Robot (14.85%)
- Artificial intelligence (29.95%)
- Simulation (13.61%)
In recent papers he was focusing on the following fields of study:
Robot, Artificial intelligence, Simulation, Teleoperation and Computer vision are his primary areas of study.
His work deals with themes such as Artificial neural network, Manipulator, Robotic arm and Invasive surgery, which intersect with Robot.
Many of his studies involve connections with topics such as Machine learning and Artificial intelligence.
Giancarlo Ferrigno usually deals with Simulation and limits it to topics linked to Torque and Control system.
His biological study spans a wide range of topics, including Task, Stiffness and Haptic technology.
His Computer vision study incorporates themes from Imaging phantom, Fluoroscopy and Robustness.
Between 2015 and 2021, his most popular works were:
- Haptics in Robot-Assisted Surgery: Challenges and Benefits (91 citations)
- Improved Human–Robot Collaborative Control of Redundant Robot for Teleoperated Minimally Invasive Surgery (74 citations)
- Deep Neural Network Approach in Robot Tool Dynamics Identification for Bilateral Teleoperation (51 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Surgery
- Computer vision
Giancarlo Ferrigno spends much of his time researching Robot, Artificial intelligence, Artificial neural network, Manipulator and Teleoperation.
His Robot study combines topics from a wide range of disciplines, such as Robotic arm, Simulation, Haptic technology and Task analysis.
His studies deal with areas such as Machine learning and Computer vision as well as Artificial intelligence.
The study incorporates disciplines such as Cluster analysis and Robustness in addition to Computer vision.
His study looks at the relationship between Artificial neural network and topics such as Control engineering, which overlap with Tele operation, Model predictive control, Lateral stability and Control.
His Teleoperation research integrates issues from Robot kinematics and Task.
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