Abstract
This paper deals with a pattern recognition approach to detect and classify falls of bipedal robots according to intensity and direction. Reflex motions, that are initiated by the classified state, are intended to prevent the robot from falling.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Albert, A. (2002) Intelligente Bahnplanung und Regelung für einen autonomen, zweibeinigen Roboter. VDI Verlag.
Höhn, O., Schollmeyer, M., and Gerth, W. (2004) Sturzvermeidung von zweibeinigen Robotern durch reflexartige Reaktionen. Eingebettete Systeme, pp. 60–69.
Schürmann, J. (1996) Pattern Classification. John Wiley & Sons, Inc.
Liedtke, Claus E. and Erder, Manfred (1989) Wissensbasierte Bildverarbeitung. Springer-Verlag.
Wu, G. (2000) Distinguishing fall activities from normal activities by velocity characteristics. Journal of Biomechanics, vol. 33, pp. 1497–1500.
Strasser, R., Seebode, M., and Gerth, W. (2003) A very small low cost Inertial Measurement Unit (IMU) for robotic applications. Symposium Gyro Technology, pp. 18.0–18.9.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Höhn, O., Gačnik, J., Gerth, W. (2006). Detection and Classification of Posture Instabilities of Bipedal Robots. In: Tokhi, M.O., Virk, G.S., Hossain, M.A. (eds) Climbing and Walking Robots. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26415-9_49
Download citation
DOI: https://doi.org/10.1007/3-540-26415-9_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26413-2
Online ISBN: 978-3-540-26415-6
eBook Packages: EngineeringEngineering (R0)