Symbiotic Computing Laboratory
School of Computer Science
College of Engineering
University of Oklahoma
Symbiotic Computing Home
Research Experiences for Undergraduates:
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.
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.
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.
fagg [[at]] ou.edu
Last modified: Fri Aug 8 00:29:26 2008