Symbiotic Computing Laboratory

School of Computer Science
College of Engineering
University of Oklahoma

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Research Experiences for Undergraduates:
Integrated Machine Learning Systems

The Symbiotic Computing Laboratory is dedicated to the study of the symbiotic relationships between humans and machines. In particular, we examine:
  • machines as models of how biological systems represent and learn motor and cognitive skills,
  • primates as inspiration for new robot control and learning techniques, and
  • the interaction of humans with machines.

Our specific areas of research include:

  • Computational Neuroscience and Motor Control: models of the interaction between muscle and spinal circuitry; motor skill representation and learning within cortex, cerebellum, and basal ganglia; and brain-machine interfaces.

  • Human-Machine Interaction: wearable and ubiquitous computing; sensor networks; pervasive, ambient interfaces; robot learning through human interaction; interactive art.

  • Robot Sensing and Manipulation: control of reaching, grasping, and manipulation; visual and haptic sensing for manipulation; and representing affordances in support of planning, learning, and recognition.

  • Machine/Robot Learning: hybrid models of reinforcement and supervised learning; learning action-oriented representations; and learning motor skills through human interaction and through exploration with the surrounding environment.

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Last modified: Fri Aug 8 00:29:26 2008