What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Quantum mechanics
Control theory, Fuzzy logic, Artificial intelligence, Control engineering and Nonlinear system are his primary areas of study.
His work on Control theory, Sliding mode control, Adaptive control and Optimal control as part of general Control theory research is often related to Parametric statistics, thus linking different fields of science.
The Fuzzy control system research Spyros G. Tzafestas does as part of his general Fuzzy logic study is frequently linked to other disciplines of science, such as Conceptual approach, therefore creating a link between diverse domains of science.
Spyros G. Tzafestas has included themes like Digital image processing and Multidimensional systems in his Artificial intelligence study.
His Control engineering study integrates concerns from other disciplines, such as Geography of robotics, Arm solution, Robot kinematics, Articulated robot and Simulation.
His research investigates the connection with Nonlinear system and areas like Kalman filter which intersect with concerns in Smoothing, Mathematical optimization, Distributed parameter system, Algorithm and Estimation theory.
His most cited work include:
- Incremental fuzzy expert PID control (242 citations)
- Extended Kalman filtering for fuzzy modelling and multi-sensor fusion (186 citations)
- The autonomous mobile robot SENARIO: a sensor aided intelligent navigation system for powered wheelchairs (163 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Control theory, Artificial intelligence, Control engineering, Robot and Fuzzy logic.
His work in Control theory, Adaptive control, Control system, Optimal control and Nonlinear system is related to Control theory.
His studies deal with areas such as Machine learning and Computer vision as well as Artificial intelligence.
Spyros G. Tzafestas has researched Control engineering in several fields, including Robot control and Mobile robot.
His Robot research is multidisciplinary, incorporating elements of Simulation and Human–computer interaction.
His research in Fuzzy logic is mostly focused on Fuzzy control system.
He most often published in these fields:
- Control theory (29.72%)
- Artificial intelligence (22.90%)
- Control engineering (20.63%)
What were the highlights of his more recent work (between 2005-2020)?
- Robot (13.81%)
- Control engineering (20.63%)
- Mobile robot (11.01%)
In recent papers he was focusing on the following fields of study:
Spyros G. Tzafestas focuses on Robot, Control engineering, Mobile robot, Artificial intelligence and Control theory.
Spyros G. Tzafestas studied Robot and Human–computer interaction that intersect with Automation and Task.
His Control engineering study also includes
- Fuzzy logic which is related to area like Adaptive control,
- Stability which connect with Field.
His study in Mobile robot is interdisciplinary in nature, drawing from both Control theory, Motion planning and Affine transformation.
His work on Artificial intelligence is being expanded to include thematically relevant topics such as Computer vision.
He regularly links together related areas like Fault in his Control theory studies.
Between 2005 and 2020, his most popular works were:
- Extended Kalman filtering for fuzzy modelling and multi-sensor fusion (186 citations)
- Introduction to Mobile Robot Control (122 citations)
- Adaptive fuzzy control for the ship steering problem (66 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Quantum mechanics
- Control theory
Spyros G. Tzafestas mainly investigates Artificial intelligence, Mobile robot, Fuzzy logic, Control engineering and Control theory.
Robot control is closely connected to Computer vision in his research, which is encompassed under the umbrella topic of Artificial intelligence.
His study with Mobile robot involves better knowledge in Robot.
His work deals with themes such as Control theory and Adaptive control, which intersect with Fuzzy logic.
The concepts of his Control engineering study are interwoven with issues in Digital sensors, Tactile sensor, Compass, Gyroscope and Sonar.
His biological study spans a wide range of topics, including Humanoid robot, Modeling and simulation and Contact force.
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