Degrees: PhD EE, University of Texas at Arlington, 1997 MSc Control Engineering, University of Bradford, UK, 1990 BS EE, National Polytechnic School, Ecuador, 1987
Prior to joining ECE’s Systems and Controls Group in August 2007, Rafael Fierro held a postdoctoral appointment with the GRASP Lab at the University of Pennsylvania and a faculty position with the Department of Electrical and Computer Engineering at Oklahoma State University.
Dr. Fierro has taught courses in robotics, control of hybrid systems, and linear systems. His research interests include hybrid and embedded systems, heterogeneous multivehicle coordination, cooperative and distributed control of multi-agent systems, mobile sensor networks, and robotics. His work has been funded by the Army Research Office and NSF.
Rafael Fierro directs ECE’s Multi-Agent, Robotics, Hybrid and Embedded Systems (MARHES) Laboratory. MARHES is an interdisciplinary laboratory dedicated to research and education in hybrid and embedded systems and robotics. Also, Dr. Fierro and his group are developing “Robotic Games” with the goal of stimulating the interest of children and increasing their appreciation for science, math and engineering.
Dr. Fierro was the recipient of a Fulbright scholarship and a 2004 NSF CAREER award. He is serving as associate editor for the Journal of Intelligent and Robotics Systems, IEEE Control Systems Magazine, and IEEE Transactions on Automation Science and Engineering.
Rafael Fierro has developed a novel framework and architecture to coordinate teams of autonomous vehicles engaged in spatially distributed missions.
“A framework and architecture for multi-robot coordination,” The International Journal of Robotics Research, vol. 21, no.10-11, pp. 977-995, Oct-Nov 2002.
Rafael Fierro’s work is focused on developing systematic methodologies for the analysis, design and implementation of cooperative dynamic networks. A dynamic network consists of distributed dynamic nodes (e.g., autonomous vehicles, mobile sensors) that are coordinated by a common set of goals and possible dynamic interaction between the nodes.