Sensory prediction for autonomous robots

By R. Saegusa, F. Nori, Giulio Sandini, Giorgio Metta, S. Sakka. 2007

13 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Control and Systems Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. German Ignacio Parisi
2. Stefan Wermter
3. Cornelius Weber
4. Luiza Mici
5. Junpei Zhong

In Control and Systems Engineering

1. German Ignacio Parisi
2. Luiza Mici
3. Stefan Wermter
4. Cornelius Weber

Citations in the corpus

• An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction (2017, background): “erties of a system or state transition probabilities are not known [3], [19].”
• A predictive network architecture for a robust and smooth robot docking behavior (2012, background): “approximation and thereby optimally predict non-linear data [24, 25, 26, 27].”