2007 | OriginalPaper | Buchkapitel
Predictive Behavior Generation — A Sensor-Based Walking and Reaching Architecture for Humanoid Robots
verfasst von : Michael Gienger, Bram Bolder, Mark Dunn, Hisashi Sugiura, Herbert Janssen, Christian Goerick
Erschienen in: Autonome Mobile Systeme 2007
Verlag: Springer Berlin Heidelberg
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This paper presents a sensor-based walking and reaching architecture for humanoid robots. It enables the robot to interact with its environment using a smooth whole body motion control driven by stabilized visual targets. Interactive selection mechanisms are used to switch between behavior alternatives for searching or tracking objects as well as different whole body motion strategies for reaching. The decision between different motion strategies is made based on internal predictions that are evaluated by parallel running instances of virtual whole-body controllers. The results show robust object tracking and a smooth interaction behavior that includes a large variety of whole-body postures.