Thulasi Mylvaganam
Imperial College London, Vaughn College of Aeronautics and Technology
Papers
5
Total Citations
120
H-Index
4
About
Thulasi Mylvaganam is a leading researcher in multi-agent systems, autonomous navigation, and data-driven control, with a particular focus on collision avoidance and game-theoretic decision-making. Her major contributions lie in formulating and solving complex multi-agent collision avoidance problems using differential game theory, enabling teams of wheeled mobile robots to navigate safely to their targets without collisions. Her highly cited works, including "Autonomous collision avoidance for wheeled mobile robots using a differential game approach" (49 citations) and "A Hybrid Controller for Multi-Agent Collision Avoidance via a Differential Game Formulation" (48 citations), have provided foundational local and hybrid solutions that are critical for real-time, online applications. More recently, she has advanced the field by developing iterative and data-driven algorithms for computing Nash equilibria in linear quadratic dynamic games, as seen in her 2024 paper (16 citations), and by pioneering direct data-driven control strategies for challenging systems like planar snake robots, which bypass the need for exact model knowledge. Her work bridges theoretical rigor with practical implementation, offering robust, model-free solutions that are highly relevant for modern autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Data-driven control of planar snake robot locomotion4 citations · 2022
- 5