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Behaviour Generation in Humanoids by Learning Potential-Based Policies from Constrained Motion

Movement generation that is consistent with observed or demonstrated behaviour is an efficient way to seed movement planning in complex, high-dimensional movement systems like humanoid robots. We present a method for learning potential-based policies from constrained motion data. In contrast to prev...

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Detalhes bibliográficos
Principais autores: Matthew Howard, Stefan Klanke, Michael Gienger, Christian Goerick, Sethu Vijayakumar
Formato: Artigo
Idioma:Inglês
Publicado em: Wiley 2008-01-01
coleção:Applied Bionics and Biomechanics
Acesso em linha:http://dx.doi.org/10.1080/11762320902789830
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