Adaptive modular architecture for rich motor skills Ghent University
Compared to animals and humans, the motor skills of today's robots still must be qualified as poor. Their behavioral repertoire is typically limited to a narrow set of carefully engineered motor patterns that operate a rigid mechanics and lack situated adaptivity, learnability and dynamical fusion of motor primitives into complex, task-oriented be-havioral patterns.
The AMARSi integrated Project aims at a qualitative jump toward ...