What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Robotics
The scientist’s investigation covers issues in Simulation, Control engineering, Artificial intelligence, Robotics and Stiffness.
Giuseppe Carbone combines subjects such as Robot, Parallel manipulator, Mechanism and Pulley with his study of Simulation.
His studies deal with areas such as Position control, Motion, Payload, Exoskeleton and Workspace as well as Control engineering.
His Humanoid robot study in the realm of Artificial intelligence connects with subjects such as Upper body, Trunk and Waist.
His biological study spans a wide range of topics, including Mechatronics, Robotic systems and Human–computer interaction.
Giuseppe Carbone works mostly in the field of Stiffness, limiting it down to topics relating to Performance index and, in certain cases, Stiffness matrix and Numerical analysis.
His most cited work include:
- A stiffness analysis for CaPaMan (Cassino Parallel Manipulator) (126 citations)
- Designing an underactuated mechanism for a 1 active DOF finger operation (93 citations)
- Design Issues for Hexapod Walking Robots (64 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Simulation, Robot, Control engineering, Artificial intelligence and Parallel manipulator.
The various areas that Giuseppe Carbone examines in his Simulation study include Humanoid robot, Mechanism and Mechanical design.
His Hexapod and Motion planning study in the realm of Robot interacts with subjects such as Service and Optimal design.
Giuseppe Carbone combines topics linked to Robotic systems with his work on Control engineering.
Giuseppe Carbone is involved in the study of Artificial intelligence that focuses on Robotics in particular.
Manipulator is closely connected to Stiffness in his research, which is encompassed under the umbrella topic of Parallel manipulator.
He most often published in these fields:
- Simulation (36.02%)
- Robot (31.37%)
- Control engineering (28.26%)
What were the highlights of his more recent work (between 2019-2021)?
- Robot (31.37%)
- Control engineering (28.26%)
- Rehabilitation (13.66%)
In recent papers he was focusing on the following fields of study:
Giuseppe Carbone mainly investigates Robot, Control engineering, Rehabilitation, Control theory and Parallel manipulator.
His Robot study contributes to a more complete understanding of Artificial intelligence.
His research integrates issues of Mechanism, Hexapod and Pipeline in his study of Control engineering.
His Rehabilitation research is multidisciplinary, relying on both Motion, Robotic systems, Simulation and Physical medicine and rehabilitation.
Giuseppe Carbone has researched Simulation in several fields, including Motion generation and Inverse dynamics.
Giuseppe Carbone has included themes like Control system, Workspace, Finite element method and Trajectory in his Parallel manipulator study.
Between 2019 and 2021, his most popular works were:
- Time efficient stiffness model computation for a parallel haptic mechanism via the virtual joint method (10 citations)
- Systematic Design of a Parallel Robotic System for Lower Limb Rehabilitation (9 citations)
- Multi-Objective optimal design of a cable driven parallel robot for rehabilitation tasks (5 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Artificial intelligence
- Electrical engineering
Robot, Control engineering, Physical medicine and rehabilitation, Parallel manipulator and Rehabilitation are his primary areas of study.
His Robot research incorporates themes from Genetic algorithm and Footprint.
His study in Control engineering is interdisciplinary in nature, drawing from both Mecanum wheel, Human locomotion, Wearable computer, Humanoid robot and Hexapod.
His research brings together the fields of Daily life activities and Physical medicine and rehabilitation.
His research in Parallel manipulator intersects with topics in Control system, Forward kinematics, Stiffness and Finite element method.
His Rehabilitation study combines topics in areas such as Workspace and Robot kinematics.
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