Institutional Repository
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Predictive control for dynamic locomotion of real humanoid robots

Lagoudakis Michael, Piperakis Stylianos, Orfanoudakis Emmanouil

Full record


URI: http://purl.tuc.gr/dl/dias/537906B5-5283-4F60-912C-AF1C89287110
Year 2014
Type of Item Conference Full Paper
License
Details
Bibliographic Citation S. Piperakis, E. Orfanoudakis, and M. G. Lagoudakis, “Predictive control for dynamic locomotion of real humanoid robots,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2014, pp. 4036 - 4043. doi:10.1109/IROS.2014.6943130 https://doi.org/10.1109/IROS.2014.6943130
Appears in Collections

Summary

This article presents a complete formulation of the challenging task of stable humanoid robot omnidirectional walk based on the Cart and Table model for approximating the robot dynamics. For the control task, we propose two novel approaches: preview control augmented with the inverse system for negotiating strong disturbances and uneven terrain and linear model-predictive control approximated by an orthonormal basis for computational efficiency coupled with constraints for improved stability. For the generation of smooth feet trajectories, we present a new approach based on rigid body interpolation, enhanced by adaptive step correction. Finally, we present a sensor fusion approach for sensor-based state estimation and an effective solution to sensors' noise, delay, and bias issues, as well as to errors induced by the simplified dynamics and actuation imperfections. Our formulation is applied on a real NAO humanoid robot, where it achieves real-time onboard execution and yields smooth and stable gaits.

Services

Statistics