A novel approach for the generation of complex humanoid walking sequences based on a combination of optimal control and learning of movement primitives-Reference-Cited by-同舟云学术

A novel approach for the generation of complex humanoid walking sequences based on a combination of optimal control and learning of movement primitives

Published:2016-09 Issue: Volume:83 Page:287-298
ISSN:0921-8890
Container-title:Robotics and Autonomous Systems
language:en
Short-container-title:Robotics and Autonomous Systems

Author:

Clever Debora,Harant Monika,Koch Henning,Mombaur Katja,Endres Dominik

Funder

European Union Seventh Framework Program

HGS MathComp Graduate School

DFG

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference48 articles.

1. The Co-ordination and Regulation of Movements;Bernstein,1967

2. Modularity in the motor system: decomposition of muscle patterns as combinations of time-varying synergies;d’Avella,2002

3. Optimality principles in sensorimotor control;Todorov;Nature Neurosci.,2004

4. Bayesian decision theory in sensorimotor control;Körding;Trends Cogn. Sci.,2006

5. K.H. Koch, D. Clever, K. Mombaur, D. Endres, Learning movement primitives from optimal and dynamically feasible trajectories for humanoid walking, in: IEEE-RAS International Conference on Humanoid Robots (Humanoids 2015), pp. 866–873, 2015. http://dx.doi.org/10.1109/HUMANOIDS.2015.7363463.

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