Idiothetic Verticality Estimation through Head Stabilization Strategy - Archive ouverte HAL Access content directly
Journal Articles IEEE Robotics and Automation Letters Year : 2019

Idiothetic Verticality Estimation through Head Stabilization Strategy

(1) , (2) , (3) , (4, 5)
1
2
3
4
5

Abstract

The knowledge of the gravitational vertical is fundamental for the autonomous control of humanoids and other free-moving robotic systems such as rovers and drones. This article deals with the hypothesis that the so-called 'head stabilization strategy' observed in humans and animals facilitates the estimation of the true vertical from inertial sensing only. This problem is difficult because inertial measurements respond to a combination of gravity and fictitious forces that are hard to disentangle. From simulations and experiments, we found that the angular stabilization of a platform bearing inertial sensors enables the application of the separation principle. This principle, which permits one to design estimators and controllers independently from each other, typically applies to linear systems, but rarely to nonlinear systems. We found empirically that, given inertial measurements, the angular regulation of a platform results in a system that is stable and robust and which provides true vertical estimates as a byproduct of the feedback. We conclude that angularly stabilized inertial measurement platforms could liberate robots from ground-based measurements for postural control, locomotion, and other functions, leading to a true idiothetic sensing modality, that is, not based on any external reference but the gravity field.
Fichier principal
Vignette du fichier
IF_et_al_RAL-RSS_2019.pdf (712.43 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02113171 , version 1 (28-04-2019)

Identifiers

Cite

Ildar Farkhatdinov, Hannah Michalska, Alain Berthoz, Vincent Hayward. Idiothetic Verticality Estimation through Head Stabilization Strategy. IEEE Robotics and Automation Letters, 2019, 4 (3), ⟨10.1109/LRA.2019.2913790⟩. ⟨hal-02113171⟩
52 View
115 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More