What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Algebra
His primary areas of study are Control engineering, Control theory, Robot, Mobile robot and Control theory.
His research integrates issues of Kalman filter, Lyapunov function, Nonlinear system and Motion control in his study of Control engineering.
His studies examine the connections between Control theory and genetics, as well as such issues in Robotic arm, with regards to Electrical impedance, Stability, Jacobian matrix and determinant and Inverse kinematics.
Robot is a subfield of Artificial intelligence that Ricardo Carelli tackles.
His studies in Mobile robot integrate themes in fields like Simulation, Motion planning and Inverse dynamics.
Ricardo Carelli has researched Control theory in several fields, including Robot kinematics and Trajectory.
His most cited work include:
- Stable visual servoing of camera-in-hand robotic systems (207 citations)
- An adaptive dynamic controller for autonomous mobile robot trajectory tracking (195 citations)
- SLAM-based robotic wheelchair navigation system designed for confined spaces (130 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Control theory, Control theory, Control engineering, Mobile robot and Robot.
Control system, Lyapunov function, Adaptive control, Nonlinear system and Stability are the primary areas of interest in his Control theory study.
His Control theory research incorporates themes from Compensation, Artificial neural network, Tracking, Control and Trajectory.
His work in Control engineering addresses issues such as Robustness, which are connected to fields such as Mobile manipulator.
His Mobile robot study is concerned with Artificial intelligence in general.
The Robot study which covers Simulation that intersects with Teleoperation.
He most often published in these fields:
- Control theory (54.62%)
- Control theory (48.46%)
- Control engineering (46.54%)
What were the highlights of his more recent work (between 2014-2021)?
- Control theory (54.62%)
- Control theory (48.46%)
- Robot (45.00%)
In recent papers he was focusing on the following fields of study:
Control theory, Control theory, Robot, Mobile robot and Control engineering are his primary areas of study.
In general Control theory, his work in Trajectory, Lyapunov function and Vehicle dynamics is often linked to Collision avoidance linking many areas of study.
His Control theory study integrates concerns from other disciplines, such as Control system, Control, Simulation and Admittance.
His Robot study introduces a deeper knowledge of Artificial intelligence.
His biological study spans a wide range of topics, including Motion, Discrete time and continuous time, Human–computer interaction and Motion control.
His Control engineering study combines topics in areas such as System dynamics, Robot kinematics and Stability theory.
Between 2014 and 2021, his most popular works were:
- Multimodal Human–Robot Interaction for Walker-Assisted Gait (32 citations)
- A Novel Null-Space-Based UAV Trajectory Tracking Controller With Collision Avoidance (26 citations)
- A Velocity-Based Dynamic Model and Its Properties for Differential Drive Mobile Robots (26 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Algebra
Ricardo Carelli mostly deals with Control theory, Control theory, Mobile robot, Lyapunov function and Control engineering.
His Control theory research is multidisciplinary, relying on both Robot and Tracking.
Ricardo Carelli studies Robot, focusing on Robot control in particular.
His work deals with themes such as Control, Artificial intelligence, System dynamics and Robotics, which intersect with Control theory.
His Mobile robot research includes themes of Optimization problem and Global Positioning System.
His Control engineering study incorporates themes from Orientation, Gait and Sensor fusion.
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