AN UNSUPERVISED SENSORIMOTOR REDUNDANCY RESOLVING ARCHITECTURE
 
SURE_REACH
Welcome.
This site provides simulation software and information about the SURE_REACH model:
  1. ‣Download simulation and demo software
  2. ‣A short tutorial on the demo software
  3. ‣The documentation of the demo software
 
What is SURE_REACH?
The SURE_REACH model is a computational model of motor learning and control. It accounts for the unsupervised acquisition of body models and their usage for movement preparation and movement control.
For more information, theoretical background, algorithms, and some expressions and terms, see the following papers or send an email to oliver.herbort[at]psychologie.uni-wuerzburg.de:
 
  1. ‣Butz, M. V., Herbort, O., & Hoffmann, J. (2007). Exploiting redundancy for flexible behavior: unsupervised learning in a modular sensorimotor control architecture. Psychological Review, 114(4), 1015-1046.
  2. ‣Herbort, O., & Butz, M. V. (2007). Encoding complete body models enable task dependent optimal behavior. Proceedings of the International Joint Conference on Neural Networks 2007, 20, 1639-1944.
  3. ‣Herbort, O., Ognibene, D., Butz, M. V., & Baldassarre, G. (2007). Learning to select targets within targets in reaching tasks. Proceedings of the 6th International IEEE Conference on Development and Learning 2007, 6, 7-12.