Matthew is interested in using sensorimotor integration to aid in the intelligent control of autonomous mobile robots in dynamic environments, and bring a more natural life-time learning approach to control of autonomous mobile robots. He is a member of IEEE and the Eta Kappa Nu engineering honor society. He has also served as the President, Coordinator, and Secretary of the ECE Graduate Student Association.
Currently Matthew is focusing his research on the benefits of sensorimotor integration with regards to machine-learned control. Current research projects include the development of a modular multiplatform control environment to facilitate local and distributed sensorimotor integration, and the use of this integrated sensorimotor information to aid in the learning and evolutionary control of autonomous mobile robot colonies
1. Henderson, T.C., Grant, E., Luthy, K.A., Mattos, L.S., Craver, M.D., "Precision Localization in Monte Carlo Sensor Networks", under review.