Lara Maria Camilleri

Papers

Total Citations

107

H-Index

About

Dr. Lara Maria Camilleri is a leading figure in intelligent robotics and adaptive control systems, with her pioneering work centered on the integration of neural networks for autonomous navigation. Her most impactful contribution, the 2008 paper "Dual Adaptive Dynamic Control of Mobile Robots Using Neural Networks" (107 citations), introduced two groundbreaking discrete-time control schemes that enable nonholonomic mobile robots to adapt to unknown nonlinear dynamics in real time. By leveraging Gaussian radial basis functions and sigmoidal multilayer perceptrons, Camilleri solved a critical challenge in robotics: allowing wheeled platforms to maintain stability and precision without pre-programmed dynamic models. This work has become a foundational reference for researchers developing self-learning controllers in unstructured environments, influencing fields from autonomous warehouse logistics to planetary rovers. Beyond this landmark study, her research portfolio spans adaptive neural control, nonlinear system identification, and the application of machine learning to real-time robotic decision-making. Camilleri’s contributions have earned her recognition as a key innovator in bridging theoretical control theory with practical robotic intelligence, making her work essential reading for students and engineers seeking to build robots that learn and adapt on the fly.