My research focuses on Robotic Autonomy. Automatic robots are limited to controlledenvironments. We need autonomous robots in unstructured environments to increment theproductivity and efficiency of several human activities: package delivery, cleaning, agriculture,surveillance, search & rescue, construction, transportation, and guiding people. Theautonomy implies a number of problems: perception, localization, environment modeling,motion planning, control, navigation, etc. My research focuses on finding and solving newproblems to extend the skills of autonomous robots.https://www.youtube.com/watch?v=RAj70AGsXls

10 years experience in teaching undergraduate courses: artificial neural networks, fuzzy logic and control, modelling and simulation of dynamic systems, classical and modern control theories, analog electronics.

My thesis solves some problems for autonomous navigation in unstructured environments: 1.- For map-building, we propose a novel method based on ellipsoidal sets that can solve large-scale problems, unlike other methods based on sets. Its performance is similar to, and in some cases better than, the method based on a Kalman filter. Some real experiments show it is capable of building maps indoors and outdoors.2.- For planning, we introduce and study the fundamental concepts of Known Space, FreeSpace and Unknown Space Assumptions to deal with the partial observability of environment.These assumptions are needed to navigate in dynamic and unknown environments. Fordynamic environments, we propose the first two methods to recover from false obstacles in the map and make the robot continue searching for its goal. For unknown environments, we propose a method to navigate more efficiently.You can download this thesis here:https://es.scribd.com/doc/253607038/2015-Map-building-and-Planning-for-Autonomous-Navigation-in-Unstructured-Environments

I design and build a control system for myoelectric upper limb prostheses with 3 degrees of freedom: hand, forearm and elbow. This system was first marketed in Mexico.See videohttp://www.youtube.com/watch?v=yMkoZYC7dnU&feature=relmfu