Publicaties | Kaarten

nieuwe zoekopdracht

[ meld een fout in dit record ]mandje (0): toevoegen | toon Print deze pagina
Learning from humans
Billard, A.G.; Calinon, S.; Dillmann, R. (2016). Learning from humans, in: Siciliano, B. et al. Springer handbook of robotics. pp. 1995-2014. https://dx.doi.org/10.1007/978-3-319-32552-1_74
In: Siciliano, B.; Khatib, O. (Ed.) (2016). Springer handbook of robotics. Second edition. Springer Verlag: Berlin. ISBN 978-3-319-32550-7; e-ISBN 978-3-319-32552-1. LXXVI, 2227 pp. https://dx.doi.org/10.1007/978-3-319-32552-1
Beschikbaar in  Auteurs 
Auteurs  Top 
  • Billard, A.G.
  • Calinon, S.
  • Dillmann, R.
Abstract
    This chapter surveys the main approaches developed to date to endow robots with the ability to learn from human guidance. The field is best known as robot programming by demonstration, robot learning from/by demonstration, apprenticeship learning and imitation learning. We start with a brief historical overview of the field. We then summarize the various approaches taken to solve four main questions: when, what, who and when to imitate. We emphasize the importance of choosing well the interface and the channels used to convey the demonstrations, with an eye on interfaces providing force control and force feedback. We then review algorithmic approaches to model skills individually and as a compound and algorithms that combine learning from human guidance with reinforcement learning. We close with a look on the use of language to guide teaching and a list of open issues.
Alle informatie in het Integrated Marine Information System (IMIS) valt onder het VLIZ Privacy beleid Top | Auteurs 
IMIS is ontwikkeld en wordt gehost door het VLIZ.