J.T. Economou
Papers
10
Total Citations
62
H-Index
5
About
J.T. Economou is a researcher specializing in mobile robotics, autonomous navigation, fuzzy logic control, and hybrid vehicle systems. Working primarily across the 2000s and 2010s, Economou has made consistent contributions to the challenge of operating robotic systems intelligently and safely in complex, real-world environments. Among his most notable contributions is the development of novel trajectory and path-planning algorithms for mobile robotic manipulator arms operating in confined and dangerous spaces, with work spanning from 2014 to 2018 demonstrating sustained focus on real-time collision-free navigation. Economou has also advanced the application of Takagi-Sugeno fuzzy modeling and Linear Parameter-Varying (LPV) control frameworks to mobile robot dynamics, producing mathematical tools that enhance stability guarantees across nonlinear operating conditions — work that attracted citations from the robotics and control communities. His research further extends into multi-sensor fusion for robot localization, combining interval analysis with Unscented Kalman Filters and fuzzy logic to improve navigational reliability. Additionally, Economou has explored hybrid energy source modeling for mobile platforms and fuzzy-hybrid drivetrain modeling for land vehicles, reflecting a broader systems engineering perspective. His cumulative citation record, totaling over 60 citations across ten publications, underscores a steady and meaningful contribution to intelligent autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Control design for a mobile robot: a fuzzy LPV approach10 citations · 2004
- 3
- 4
- 5Feature based robot navigation: using fuzzy logic and interval analysis6 citations · 2005
- 6
- 7Intelligent Energy Source SoC Modelling for a Hybrid Electric Vehicle4 citations · 2005
- 8
- 9
- 10