I have over 20 years of experience in the fields of inertial sensing, sensor data fusion, Kalman filtering, localization, biomechanics, and human gait analysis. My work in these fields has been the basis of current unrestrictive gait analysis research conducted in collaboration with several departments at the University of Michigan as well as other research centers across the world. My research is focused in the use of inertial sensors to solve diverse problems such as robot localization, dolphin tracking, gait-analysis, personal localization, and attitude determination systems for micro-satellites.
In my spare time I enjoy making robots made with LEGO parts as a way to motivate children to learn science, technology, engineering, art and math (STEAM). I maintain a website where I describe how to do this. Kids love these robots!