Professor, Electrical and Computer Engineering
Nonlinear dynamics and control;, adaptive sensory-motor control, multibody systems theory, learning theory and pattern recognition, computational vision, and data compression. Professor Kreutz-Delgado research interests are in sensor-based intelligent systems that can function in unstructured and nonstationary environments. His technical contributions 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.
Institute for Neural Computation
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