Internal Model Control for Improving the Gait Tracking of a Compliant Humanoid Robot

Luca Colasanto, Nikos G. Tsagarakis, Zhibin Li, Darwin G. Caldwell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

This paper reports on the modelling and trajectory generation of an intrinsically compliant humanoid robot. To achieve adequate gait tracking performance in a compliant robot is not trivial and cannot be addressed with the traditional control approaches used for stiff robots. To permit the development of effective gait generators which take into account the additional dynamic effects due to intrinsic compliance, an appropriate model which can predict the robot motion dynamics is required. In this work, we propose a model which combines the inverted pendulum model approach with a compliant model (Cartesian) at the level of the COM. Based on this model which permits to predict the motion of the centre of mass (COM) of the compliant robot an Internal Model Control strategy is adopted to improve the gait tracking performance. The derivation of the model is introduced followed by experimental validation which demonstrates the tracking performance achieved by the proposed reduced model. The Internal Model Control is subsequently discussed and validated on the COmpliant huMANoid COMAN using a series of ZMP based walking gaits.
Original languageEnglish
Title of host publication2012 IEEE/RSJ International Conference on Intelligent Robots and Systems
Place of PublicationPortugal
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Print)978-1-4673-1737-5
Publication statusPublished - 2012


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