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DAGM
2011
Springer

Visual Motion Capturing for Kinematic Model Estimation of a Humanoid Robot

10 years 11 months ago
Visual Motion Capturing for Kinematic Model Estimation of a Humanoid Robot
Controlling a tendon-driven robot like the humanoid Ecce is a difficult task, even more so when its kinematics and its pose are not known precisely. In this paper, we present a visual motion capture system to allow both real-time measurements of robot joint angles and model estimation of its kinematics. Unlike other humanoid robots, Ecce (see Fig. 1A) is completely molded by hand and its joints are not equipped with angle sensors. This anthropomimetic robot design [5] demands for both (i) real-time measurement of joint angles and (ii) model estimation of its kinematics. The underlying principle of this work is that all kinematic model parameters can be derived from visual motion data. Joint angle data finally lay the foundation for physics-based simulation and control of this novel musculoskeletal robot.
Andre Gaschler
Added 18 Dec 2011
Updated 18 Dec 2011
Type Journal
Year 2011
Where DAGM
Authors Andre Gaschler
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