Abstract
This paper presents key ideas of a novel approach to perception-based biped robot walking. Computer vision techniques are employed for reactive adaptation of step sequences allowing a robot to step over or walk around obstacles. High precision visual feedback is provided by the combination of line-based scene analysis and real-time feature tracking. The proposed vision-based approach and the robot guidance system were evaluated by experiments with the humanoid biped Johnnie.
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Cupec, R., Lorch, O., Schmidt, G. (2003). Vision-Guided Humanoid Walking — Concepts and Experiments. In: Dillmann, R., Wörn, H., Gockel, T. (eds) Autonome Mobile Systeme 2003. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18986-9_1
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DOI: https://doi.org/10.1007/978-3-642-18986-9_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20142-7
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