IAR LAB

Intelligent Autonomous Robotics Laboratory

RESEARCH OBJECTIVE

The research laboratory, led by Dr. Castillo-Toledo and Dr. Stefano Di Gennaro, focuses on a diverse range of topics within the field of robotics and control systems. Dr. Castillo-Toledo's expertise lies in nonlinear control design, robust regulation, hybrid control systems, and the utilization of artificial neural networks and fuzzy logic techniques for control and fault diagnosis. Additionally, his research extends to the navigation and perception of drones, particularly in social robotics applications aimed at improving the quality of life for individuals in marginalized communities. On the other hand, Dr. Stefano Di Gennaro brings his knowledge in hybrid systems, regulation theory, and nonlinear control to the laboratory, contributing to advancements in autonomous intelligent systems. Together, their interdisciplinary research efforts span areas such as healthcare, environmental monitoring, clean energy, and beyond, aiming to make a significant societal impact through the integration of cutting-edge technologies and innovative control methodologies..