Dr. Kreutz-Delgado is interested in the development of intelligent learning systems that can function in unstructured, nonstationary environments and has on-going research activities in the areas of statistical signal processing; statistical learning theory; pattern recognition; adaptive sensory-motor control; nonlinear dynamics and multibody systems theory. Before joining the faculty at UCSD he was a researcher at the NASA Jet Propulsion Laboratory, California Institute of Technology, involved with the development of intelligent telerobotic systems for use in space exploration and satellite servicing and repair. His technical contributions in robotics include the development of a spatial operator algebra for the analysis and control of complex, multibody systems; the application of nonlinear dynamical reduction for robust sensory-motor control of multilimbed robotic systems; and the use of differential topology for the development of trainable nonlinear representations for sensory-motor control.