Estimation and Stabilization of Humanoid Flexibility Deformation Using Only Inertial Measurement Units and Contact Information

Mehdi Benallegue 1 Florent Lamiraux 1
1 LAAS-GEPETTO - Équipe Mouvement des Systèmes Anthropomorphes
LAAS - Laboratoire d'analyse et d'architecture des systèmes [Toulouse]
Abstract : Most robots are today controlled as being entirely rigid. But often, as for HRP-2 robot, there are flexible parts, intended for example to absorb impacts. The deformation of this flexibility modifies the orientation of the robot and endangers balance. Nevertheless, robots have usually inertial sensors (IMUs) to reconstruct their orientation based on gravity and inertial effects. Moreover, humanoids have usually to ensure a firm contact with the ground, which provides reliable information on surrounding environment. We show in this study how important it is to take into account these information to improve IMU-based position/orientation reconstruction. We use an extended Kalman filter to rebuild the deformation, making the fusion between IMU and contact information, and without making any assumption on the dynamics of the flexibility. We show how, with this simple setting, we are able to compensate for perturbations and to stabilize the end-effector's position/orientation in the world reference frame. We show also that this estimation is reliable enough to enable a closed-loop stabilization of the flexibility and control of the CoM position with the simplest possible model.
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Article dans une revue
International Journal of Humanoid Robotics, World Scientific Publishing, 2015, 2014 IEEE-RAS International Conference on Humanoid Robots, 12 (3), pp.15500255. 〈10.1142/S0219843615500255〉
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Contributeur : Mehdi Benallegue <>
Soumis le : vendredi 26 octobre 2018 - 12:06:27
Dernière modification le : mercredi 31 octobre 2018 - 01:16:23

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Mehdi Benallegue, Florent Lamiraux. Estimation and Stabilization of Humanoid Flexibility Deformation Using Only Inertial Measurement Units and Contact Information. International Journal of Humanoid Robotics, World Scientific Publishing, 2015, 2014 IEEE-RAS International Conference on Humanoid Robots, 12 (3), pp.15500255. 〈10.1142/S0219843615500255〉. 〈hal-01169149v2〉

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