Encyclopedia of the Sciences of Learning

2012 Edition
| Editors: Norbert M. Seel

Robot Learning

Reference work entry
DOI: https://doi.org/10.1007/978-1-4419-1428-6_237



Robot learning is a research field that brings together all attempts to endow robots with learning capabilities. A robot is a mechanical system that perceives its environment with sensors and that acts in this environment with actuators, so that the action is adapted to the perceived situation. As a result, robot learning algorithms have to deal with a limited life-span, expensive failures, high dimensionality, and real-time requirements. Furthermore, the robot is required to choose what actions to take. These requirements pose both hard constraints and opportunities on the learning processes and methods that can be used.

Theoretical Background

Robot learning is a broad field that does not yet benefit from clearly defined theoretical approaches. However, it largely profits from the theoretical background in many areas. The rigorous treatment of learning methods in the data mining and machine learning community allows adapting general machine...

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Further Reading

  1. Lungarella, M., Metta, G., Pfeifer, R., & Sandini, G. (2004). Developmental robotics: A survey. Connection Science, 0, 1–40.Google Scholar
  2. Schaal, S. (1999). Is imitation learning the route to humanoid robots? Trends in Cognitive Sciences, 6, 233–242.Google Scholar
  3. Sigaud, O., & Peters, J. (Eds.). (2010). From motor to interaction learning in robots. Heidelberg: Springer.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Institut des Systèmes Intelligents et de Robotique (CNRS UMR 7222)Université Pierre et Marie CurieParisFrance
  2. 2.Department of SchölkopfMax Planck Institute for Biological CyberneticsTübingenGermany