What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Robot
Antonio Franchi mainly focuses on Control theory, Trajectory, Robot, Mobile robot and Control engineering.
His study in Trajectory is interdisciplinary in nature, drawing from both Tracking, Artificial intelligence, Torque and Underactuation.
The various areas that Antonio Franchi examines in his Robot study include Distributed algorithm, Distributed computing, Range and Industrial inspection.
The study incorporates disciplines such as DUAL, Systems engineering, Teleoperation and Computer vision in addition to Mobile robot.
Antonio Franchi interconnects Decentralised system, Remotely operated underwater vehicle, Haptic technology and Telerobotics in the investigation of issues within Teleoperation.
In general Control engineering study, his work on Control theory often relates to the realm of Coincident, thereby connecting several areas of interest.
His most cited work include:
- Shared Control : Balancing Autonomy and Human Assistance with a Group of Quadrotor UAVs (153 citations)
- Semiautonomous Haptic Teleoperation Control Architecture of Multiple Unmanned Aerial Vehicles (143 citations)
- Bilateral Teleoperation of Groups of Mobile Robots With Time-Varying Topology (140 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Control theory, Robot, Control engineering, Trajectory and Control theory.
His work on Nonlinear system, Robustness, Actuator and Underactuation as part of general Control theory research is frequently linked to Propeller, thereby connecting diverse disciplines of science.
His work carried out in the field of Robot brings together such families of science as Simulation and Haptic technology.
His Control engineering research also works with subjects such as
- Passivity that connect with fields like Topology,
- Distributed algorithm most often made with reference to Decentralised system.
His Trajectory research is multidisciplinary, incorporating perspectives in Orientation and Tracking.
His Control theory study deals with Thrust intersecting with Bounded function.
He most often published in these fields:
- Control theory (48.08%)
- Robot (48.08%)
- Control engineering (29.33%)
What were the highlights of his more recent work (between 2017-2021)?
- Control theory (48.08%)
- Robot (48.08%)
- Propeller (10.58%)
In recent papers he was focusing on the following fields of study:
Antonio Franchi spends much of his time researching Control theory, Robot, Propeller, Control engineering and Trajectory.
His work in the fields of Control theory, such as Robustness, Control theory and Nonlinear system, overlaps with other areas such as Rotor and Moment.
While the research belongs to areas of Robustness, Antonio Franchi spends his time largely on the problem of Vehicle dynamics, intersecting his research to questions surrounding Adaptive control.
Antonio Franchi works mostly in the field of Robot, limiting it down to topics relating to Passivity and, in certain cases, Teleoperation, as a part of the same area of interest.
His Control engineering research incorporates elements of Stability, Manipulator and Task.
His biological study spans a wide range of topics, including Similarity, Tracking, Underactuation, Orientation and Generator.
Between 2017 and 2021, his most popular works were:
- Differential Flatness of Quadrotor Dynamics Subject to Rotor Drag for Accurate Tracking of High-Speed Trajectories (63 citations)
- The AEROARMS Project: Aerial Robots with Advanced Manipulation Capabilities for Inspection and Maintenance (59 citations)
- Adaptive Trajectory Tracking for Quadrotor MAVs in Presence of Parameter Uncertainties and External Disturbances (50 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Robot
His scientific interests lie mostly in Control theory, Trajectory, Robot, Control engineering and Control theory.
His work in the fields of Nonlinear system and Lyapunov function overlaps with other areas such as Rotor.
His Trajectory research integrates issues from Tracking, Thrust and Underactuation.
His works in Robot end effector and Mobile robot are all subjects of inquiry into Robot.
His study explores the link between Control engineering and topics such as Manipulator that cross with problems in Motion planning.
His study focuses on the intersection of Control theory and fields such as Exponential stability with connections in the field of PID controller, Workspace and Manipulator system.
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