What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Statistics
His scientific interests lie mostly in Control theory, Motion planning, Mathematical optimization, Control engineering and Differential geometry.
His Control theory research is multidisciplinary, incorporating elements of Acceleration and Missile.
His Motion planning study incorporates themes from Swarm behaviour and Curvature.
His research in Mathematical optimization intersects with topics in Executable, Time complexity, Telecommunications network, Strongly connected component and Task analysis.
His Control engineering research incorporates elements of Relay and Graph.
His research on Differential geometry also deals with topics like
- Kinematics which connect with Lyapunov function,
- Parameter reduction, which have a strong connection to Artificial intelligence and Computer vision.
His most cited work include:
- Cooperative Path Planning of Unmanned Aerial Vehicles (154 citations)
- Co-operative path planning of multiple UAVs using Dubins paths with clothoid arcs (134 citations)
- Nonlinear Model Predictive Coordinated Standoff Tracking of a Moving Ground Vehicle (78 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Control theory, Control engineering, Artificial intelligence, Mathematical optimization and Missile.
His study connects Fuzzy logic and Control theory.
His study brings together the fields of Computer vision and Artificial intelligence.
Mathematical optimization is frequently linked to Motion planning in his study.
His Motion planning research integrates issues from Tracking, Swarm behaviour and Real-time computing.
His Missile research is multidisciplinary, relying on both Acceleration and Robustness.
He most often published in these fields:
- Control theory (31.82%)
- Control engineering (14.96%)
- Artificial intelligence (14.39%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (31.82%)
- Mathematical optimization (13.83%)
- Trajectory optimization (6.44%)
In recent papers he was focusing on the following fields of study:
Control theory, Mathematical optimization, Trajectory optimization, Trajectory and Artificial intelligence are his primary areas of study.
Antonios Tsourdos combines subjects such as Estimation theory and Heading with his study of Control theory.
His studies in Mathematical optimization integrate themes in fields like Computation and Task.
Antonios Tsourdos has included themes like Control system, Vehicle dynamics and Motion planning in his Trajectory study.
His Motion planning research is under the purview of Path.
He regularly ties together related areas like Computer vision in his Artificial intelligence studies.
Between 2018 and 2021, his most popular works were:
- Distributed estimation over a low-cost sensor network: a review of state-of-the-art (32 citations)
- Trajectory Optimization of Space Maneuver Vehicle Using a Hybrid Optimal Control Solver (26 citations)
- GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud (22 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Statistics
His main research concerns Trajectory optimization, Control theory, Trajectory, Mathematical optimization and Algorithm.
His Trajectory optimization study combines topics in areas such as Control engineering, Process, Particle swarm optimization and Constraint.
His Control theory research is multidisciplinary, incorporating elements of Estimation theory, Aerodynamics and Heading.
His Trajectory research also works with subjects such as
-
Control theory which is related to area like Reliability,
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Spacecraft and related Control system.
The study of Mathematical optimization is intertwined with the study of Motion planning in a number of ways.
His study on Algorithm also encompasses disciplines like
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Joint Probabilistic Data Association Filter which intersects with area such as Sensor fusion, Probability density function, Computer simulation and Kalman filter,
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Tracking which connect with Mathematical model, Monte Carlo method and Wireless sensor network.
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