: Precise sensorimotor mappings between various motor, ensor, and abstract physical spaces are the basis for many robotics tasks. Their cheap construction is a challenge for adaptive and learning methods. However, the practical application of many neural networks suffer from the need of large amounts of training data, which makes the learning phase a costly operation
Jörg A. Walter