What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Robotics
- Robot
Eugenio Guglielmelli mainly focuses on Artificial intelligence, Robot, Robotics, Simulation and Control engineering.
As a part of the same scientific family, Eugenio Guglielmelli mostly works in the field of Artificial intelligence, focusing on Human–computer interaction and, on occasion, Everyday life.
His work on Rehabilitation robotics as part of his general Robot study is frequently connected to Variable, thereby bridging the divide between different branches of science.
His studies deal with areas such as Automation, Humanoid robot, Electronic engineering and Frequency response as well as Robotics.
The various areas that Eugenio Guglielmelli examines in his Simulation study include DC motor, Actuator, Torque and Needs analysis.
Eugenio Guglielmelli works mostly in the field of Control engineering, limiting it down to topics relating to Robot kinematics and, in certain cases, Middle finger, Degrees of freedom and Underactuation, as a part of the same area of interest.
His most cited work include:
- Restoring Natural Sensory Feedback in Real-Time Bidirectional Hand Prostheses (554 citations)
- Double nerve intraneural interface implant on a human amputee for robotic hand control. (289 citations)
- Biomechatronic Design and Control of an Anthropomorphic Artificial Hand for Prosthetic and Robotic Applications (276 citations)
What are the main themes of his work throughout his whole career to date?
Eugenio Guglielmelli mostly deals with Artificial intelligence, Robot, Simulation, Robotics and Human–computer interaction.
His Artificial intelligence research incorporates elements of Motor control and Computer vision.
His Robot research is multidisciplinary, relying on both Control engineering, Mechatronics and Wearable computer.
His work carried out in the field of Control engineering brings together such families of science as Control theory and Mobile robot.
He combines subjects such as Mechanical impedance, Task, Actuator, Torque and Robot kinematics with his study of Simulation.
As part of his studies on Human–computer interaction, Eugenio Guglielmelli frequently links adjacent subjects like Personal robot.
He most often published in these fields:
- Artificial intelligence (33.73%)
- Robot (31.64%)
- Simulation (18.51%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (33.73%)
- Rehabilitation (10.45%)
- Physical medicine and rehabilitation (14.33%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Artificial intelligence, Rehabilitation, Physical medicine and rehabilitation, Robot and Simulation.
The concepts of his Artificial intelligence study are interwoven with issues in Computer vision and Pattern recognition.
His Rehabilitation robotics and Neurorehabilitation study, which is part of a larger body of work in Rehabilitation, is frequently linked to Unlicensed assistive personnel and Meta-analysis, bridging the gap between disciplines.
His Physical medicine and rehabilitation study combines topics in areas such as Physical therapy and Brain stimulation.
His study in Robot is interdisciplinary in nature, drawing from both Cost–benefit analysis, Wearable computer, State and Human–computer interaction.
His research integrates issues of Control engineering, Control theory, Fuzzy logic, Novelty and Adaptive system in his study of Simulation.
Between 2015 and 2021, his most popular works were:
- Literature Review on Needs of Upper Limb Prosthesis Users. (216 citations)
- Intraneural stimulation elicits discrimination of textural features by artificial fingertip in intact and amputee humans (165 citations)
- Control of Prosthetic Hands via the Peripheral Nervous System. (66 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Robotics
- Mechanical engineering
Eugenio Guglielmelli mainly investigates Artificial intelligence, Rehabilitation, Human–computer interaction, Robot and Simulation.
His studies in Artificial intelligence integrate themes in fields like Interfacing, Tactile perception and Flexibility.
The various areas that he examines in his Rehabilitation study include Upper limb and Physical medicine and rehabilitation.
His work deals with themes such as Work, Neurophysiology, Encoding algorithm and GRASP, which intersect with Human–computer interaction.
His Robot research integrates issues from Movement, Rhythm, Computational model, Adaptive system and Reinforcement learning.
His Simulation research includes elements of Control system, Control engineering, Control theory and Fuzzy logic.
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