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Andrew Fagg

Education
PhD, University of Southern California
MS, University of Southern California
BS, Carnegie Mellon University

Experience
Associate Professor
    University of Oklahoma
Research Scientist
    University of Massachusetts, Amherst


CONTACT

E-mail: fagg@ou.edu
Web: www.cs.ou.edu/~fagg/
Laboratory: www-symbiotic.cs.ou.edu
Phone: (405) 325-8606
Office: EL 152

 

 

Andrew Fagg

RESEARCH INTERESTS

My research focuses on the relationships between biological systems and machines. In this area of symbiotic computing, I study the interaction of humans with machines, machines as models of how biological systems represent and learn motor and cognitive skills, and primates as inspiration for new robot control and learning techniques. Specific areas of interest include:

  • Motor skill learning in robots and models of primate skill learning. I specifically work in the areas of reaching, grasping, and manipulation.
  • Interplay of multiple learning systems, including supervised- and reinforcement-style learning algo-rithms. I am interested in robot learning through human interaction.
  • Computational models of learning in the cerebellum, basal ganglia, and neo-cortex, with a focus on motor control and task execution.
  • Wearable/ubiquitous computing systems: multi-modal interfaces for the management of cognitive bandwidth, machine learning techniques for adaptive interface behavior, and mobile virtual/augmented reality.
  • Active sensing systems
  • Mixed reality interfaces for distributed robot and sensor systems
  • Brain-machine interfaces
  • Interactive art

SELECTED PUBLICATIONS

de Granville, C., Southerland, J., Fagg, A. H. (2006), Learning Grasp Affordances Through Human Demonstration, Proceedings of the International Conference on Development and Learning (ICDL'06)

Platt, Jr., R., Grupen, R. A., Fagg, A. H. (2006), Improving Grasp Skills Using Schema Structured Learning, Proceedings of the International Conference on Development and Learning (ICDL'06)

Brown, A., Fagg, A. H. (2006), Is it alive? Sensor Networks and Art, To appear in the Proceedings of the 33rd International Conference and Exhibition on Computer Graphics and Interactive Techniques

Morales, A., Sanz, P. J., del Pobil, A. P., and Fagg, A. H. (2006) Vision-based three-finger grasp synthesis constrained by hand geometry, Robotics and Autonomous Systems, 54(6):419-512

Brock, O., Fagg, A. H., Grupen, R. A., Karuppiah, D., Platt, R., Rosenstein, M., (2005), A Framework For Humanoid Control and Intelligence, International Journal of Humanoid Robotics, 2(3):301-336

Shah, A., Fagg, A. H., Barto, A. G. (2004) Cortical Involvement in the Recruitment of Wrist Muscles, Journal of Neurophysiology, 91:2445 - 2456.

Morales, A., Chinellato, E., Fagg, A. H., del Pobil, A. P. (2004) Using Experience for Assessing Grasp Reliability, International Journal of Humanoid Robotics, 1(4):671-691

Fagg, A. H., Shah, A., Barto, A. G. (2002) A Computational Model of Muscle Recruitment for Wrist Movements, Journal of Neurophysiology, 88(6):3348-3358

 

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