What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Robotics
Gianluca Antonelli mostly deals with Control engineering, Control theory, Mobile robot, Inverse kinematics and Robot kinematics.
His Control engineering research incorporates themes from Control system, Robotics, Remotely operated underwater vehicle, Motion control and Control.
In his study, Underwater vehicle is strongly linked to Redundancy, which falls under the umbrella field of Control theory.
His research on Mobile robot concerns the broader Robot.
His Robot kinematics study combines topics from a wide range of disciplines, such as Calibration, Algorithm and Inverse problem.
His work in the fields of Artificial intelligence, such as Robot control and Odometry, intersects with other areas such as Encoder.
His most cited work include:
- Adaptive control of an autonomous underwater vehicle: experimental results on ODIN (198 citations)
- A Fuzzy-Logic-Based Approach for Mobile Robot Path Tracking (165 citations)
- Underwater Robots: Motion and Force Control of Vehicle-Manipulator Systems (156 citations)
What are the main themes of his work throughout his whole career to date?
Control engineering, Control theory, Mobile robot, Robot and Artificial intelligence are his primary areas of study.
His Control engineering research incorporates elements of Control, Remotely operated underwater vehicle, Inverse kinematics and Motion control.
His study connects Underwater vehicle and Control theory.
His research integrates issues of Simulation, Motion planning and Platoon in his study of Mobile robot.
His work focuses on many connections between Robot and other disciplines, such as Patrolling, that overlap with his field of interest in Swarm robotics.
In his study, Odometry is inextricably linked to Computer vision, which falls within the broad field of Artificial intelligence.
He most often published in these fields:
- Control engineering (46.36%)
- Control theory (44.09%)
- Mobile robot (26.82%)
What were the highlights of his more recent work (between 2015-2021)?
- Control engineering (46.36%)
- Robot (25.91%)
- Inverse kinematics (15.91%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Control engineering, Robot, Inverse kinematics, Control theory and Marine engineering.
His Control theory study in the realm of Control engineering interacts with subjects such as Set.
Mobile robot and Robot manipulator are among the areas of Robot where Gianluca Antonelli concentrates his study.
His work deals with themes such as Motion control, Singularity, Task, Robot kinematics and Robot end effector, which intersect with Inverse kinematics.
In his work, Regularization is strongly intertwined with Tracking, which is a subfield of Control theory.
His Marine engineering study incorporates themes from Remotely operated underwater vehicle and Underwater vehicle.
Between 2015 and 2021, his most popular works were:
- 6D physical interaction with a fully actuated aerial robot (68 citations)
- The AEROARMS Project: Aerial Robots with Advanced Manipulation Capabilities for Inspection and Maintenance (59 citations)
- Set-based Tasks within the Singularity-robust Multiple Task-priority Inverse Kinematics Framework: General Formulation, Stability Analysis and Experimental Results (54 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Robotics
Control engineering, Robot, Trajectory, Control theory and Marine engineering are his primary areas of study.
His work on Control theory as part of general Control engineering research is frequently linked to Scheme, bridging the gap between disciplines.
His research in Control theory focuses on subjects like Motion, which are connected to Robot kinematics.
His Trajectory research is multidisciplinary, relying on both Layer, Null, Torque, Vehicle dynamics and Inner loop.
His Marine engineering research includes elements of Autonomy, Remotely operated underwater vehicle and Remote control.
His study looks at the intersection of Motion control and topics like Motion planning with Manipulator and Inverse kinematics.
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