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Generation of Human-like Motion for Humanoid Robots Based on Marker-based Motion Capture Data

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6 Author(s)
Gaertner, Stefan ; Karlsruhe Institute of Technology (KIT), Institute for Anthropomatics, Humanoids and Intelligence Laboratory, Karlsruhe, Germany ; Do, Martin ; Asfour, Tamim ; Dillmann, Ruediger
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To increase acceptance for humanoids in everyday situations, it is essential that motions of humanoid robots become more human-like. A proper approach to achieve this requirement is introduced by adopting marker-based human motion capture. In order to efficiently re-use or analyze captured movements on various robots, an intermediate model, named Master Motor Map (MMM), is proposed which decouples representation of motion from its execution on a real robot. Moreover, we present a constrained nonlinear optimization to adapt pre-captured motions to our robot Armar-III preserving necessary motion characteristics and preventing the robot from approaching specific limitations.

Published in:

Robotics (ISR), 2010 41st International Symposium on and 2010 6th German Conference on Robotics (ROBOTIK)

Date of Conference:

7-9 June 2010

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