Celso de Sousa

Papers

Total Citations

113

H-Index

About

Celso de Sousa is a pioneering researcher in the field of adaptive robotics, with a primary focus on intelligent control systems for mobile robots. His most significant contribution lies in the development of robust adaptive control architectures that integrate wavelet networks and neural networks, enabling robots to navigate and perform tasks despite unmodeled dynamics, parameter uncertainties, and external disturbances. His landmark 2002 paper, "Adaptive control for mobile robot using wavelet networks," which has garnered 111 citations, stands as a cornerstone of his work. In this study, de Sousa advanced prior results by providing a comprehensive stability proof using Lyapunov's second method, ensuring that the control system remains stable even when all parameters are adapted online and the robot faces unpredictable environmental conditions. This work notably improved upon his earlier 2001 neural network approach, which, while foundational, received fewer citations. By addressing real-world challenges such as model inaccuracies and disturbances, de Sousa’s research has had a lasting impact on the field, offering practical, theoretically sound solutions that continue to inspire engineers and researchers developing autonomous, resilient robotic systems.