Dr. Luis Rodolfo García Carrillo
ABSTRACT
“Model-based and Learning-Inspired State Estimation and Control for Unmanned Autonomous Agents”
This talk discusses model-based and learning-inspired state estimation and control techniques for Unmanned Autonomous Systems. The first part of the talk introduces a model-based switching control strategy which enables a home-made Unmanned Aircraft System (UAS) prototype to perform vision-based trajectory tracking missions even when the sensory feedback information is not available for some instants of time. Commercially-available ready-to-fly UASs, on the other hand, are gaining popularity due to two main reasons: low cost and high computational power. Unfortunately, it is rare that the manufacturers of such systems disclose the dynamic models and control strategies of their products – a condition that makes them unfit for our feedback control-related research activities. The second part of the talk introduces a system identification technique combined with a robust controller, which allow us to use commercial UASs in our experiments. The third part of the talk discusses how state estimation and control can benefit from neuro-inspired methodologies – a current trend in diverse research domains. The inclusion of the neuromorphic component, which is based on fundamental operating mechanisms of the human brain, is adopted for building an intelligent agent with capabilities of adaptive, cognitive, and perceptive computing. These capabilities arise from the unique architecture, computing/memory units, signal encoding scheme, and operating algorithms of neuromorphic computing systems.
BIOGRAFÍA
Luis Rodolfo GARCIA CARRILLO was born in Gomez Palacio, Durango, Mexico. He received his Ph.D. in Control Systems from the University of Technology of Compiegne, France (Sorbonne Universités), in 2011, where he was advised by Dr. Rogelio Lozano. From 2012 to 2013, he was a postdoctoral researcher at the Center for Control, Dynamical Systems and Computation at the University of California, Santa Barbara, where he was working with Professor Joao Hespanha. He currently holds an Assistant Professor position with the Klipsch School of Electrical and Computer Engineering, at New Mexico State University. His research interests include control systems, unmanned aircraft systems, multi-agent systems, intelligent control, game theory, and the use of vision in feedback control.