What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Control theory
His main research concerns Control theory, Simulation, Control engineering, Trajectory and Robot.
His Control theory study incorporates themes from Invariant and Position.
His work deals with themes such as Ball, Inventory system, Mobile robot, Workspace and Point, which intersect with Simulation.
The concepts of his Control engineering study are interwoven with issues in Scale model, Computer hardware and Dependability.
His work carried out in the field of Trajectory brings together such families of science as Bang–bang control, Model predictive control, Mathematical optimization and Vehicle dynamics.
The Robot study combines topics in areas such as Multimedia, Real-time computing and Distributed computing.
His most cited work include:
- Distributed control design for spatially interconnected systems (701 citations)
- Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses (416 citations)
- Distributed control design for systems interconnected over an arbitrary graph (393 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Control theory, Control engineering, Mathematical optimization, Robot and Trajectory.
His Control theory study frequently intersects with other fields, such as Simulation.
Raffaello D'Andrea interconnects Control and Computer hardware in the investigation of issues within Control engineering.
Raffaello D'Andrea has included themes like Computational complexity theory and Robust control in his Mathematical optimization study.
His studies in Robot integrate themes in fields like Real-time computing and Distributed computing.
His biological study spans a wide range of topics, including Model predictive control, Position and Motion control.
He most often published in these fields:
- Control theory (42.41%)
- Control engineering (13.79%)
- Mathematical optimization (13.79%)
What were the highlights of his more recent work (between 2015-2021)?
- Control theory (42.41%)
- Artificial intelligence (13.10%)
- Model predictive control (6.21%)
In recent papers he was focusing on the following fields of study:
Control theory, Artificial intelligence, Model predictive control, Computer vision and Actuator are his primary areas of study.
Many of his studies on Control theory involve topics that are commonly interrelated, such as Thrust.
His Model predictive control research is multidisciplinary, relying on both Linear-quadratic regulator, Mathematical optimization, Optimal control, Basis function and Parametrization.
His Computer vision study combines topics from a wide range of disciplines, such as Robot, Tactile sensor and Absolute positioning.
His studies deal with areas such as Real-time computing, Simulation and Engineering drawing as well as Robot.
His Vehicle dynamics research is multidisciplinary, incorporating perspectives in Approximation algorithm, Motion control, Control engineering, Multirotor and Computation.
Between 2015 and 2021, his most popular works were:
- Design, modeling and control of an omni-directional aerial vehicle (106 citations)
- Relaxed hover solutions for multicopters (63 citations)
- Distributed localization systems and methods and self-localizing apparatus (61 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Control theory
The scientist’s investigation covers issues in Control theory, Real-time computing, Robot, Position and Trajectory.
His Control theory study frequently involves adjacent topics like Control engineering.
The various areas that Raffaello D'Andrea examines in his Real-time computing study include Localization system, Transceiver, Transmission schedule and Electronics.
In general Robot, his work in Robot kinematics is often linked to Contact force linking many areas of study.
His Trajectory research incorporates elements of Gradient descent, Swarm behaviour, Computation and Motion control.
In Control theory, Raffaello D'Andrea works on issues like Attitude control, which are connected to Optimal control.
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