Real-time foot attitude estimation for a humanoid robot based on inertial sensors and force sensor

Jianxi Li*, Qiang Huang, Weimin Zhang, Zhangguo Yu, Kejie Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

This paper proposes a real-time foot attitude estimation approach consists of a foot attitude acquisition and an auto-calibration method. First, overview of the foot attitude estimation system is presented, including a tri-axis MEMS accelerometer, three angular rate gyroscopes and a data acquisition and processing unit. Then, the arithmetic of data processing and attitude acquisition is introduced. FIR digital filter is proposed to reduce the influence of inherent noise of the sensors, and combination of acceleration and angular rate is adopted to calculate the foot attitude. Finally, a special autocalibration method based on the force sensor equipped at the ankle of the humanoid robot is presented. The effectiveness of the foot attitude estimation system and the auto-calibration method is confirmed by experiments with our developed humanoid robot.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008
PublisherIEEE Computer Society
Pages365-370
Number of pages6
ISBN (Print)9781424426799
DOIs
Publication statusPublished - 2009
Event2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008 - Bangkok, Thailand
Duration: 21 Feb 200926 Feb 2009

Publication series

Name2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008

Conference

Conference2008 IEEE International Conference on Robotics and Biomimetics, ROBIO 2008
Country/TerritoryThailand
CityBangkok
Period21/02/0926/02/09

Keywords

  • Autocalibration
  • Foot attitude estimation
  • Force sensor
  • Humanoid robot
  • Inertial sensor

Fingerprint

Dive into the research topics of 'Real-time foot attitude estimation for a humanoid robot based on inertial sensors and force sensor'. Together they form a unique fingerprint.

Cite this