Fall Prediction of Legged Robots Based on Energy State and Its Implication of Balance Augmentation: A Study on the Humanoid

Li, Z, Zhou, C orcid.org/0000-0002-6677-0855, Castano, J et al. (4 more authors) (2015) Fall Prediction of Legged Robots Based on Energy State and Its Implication of Balance Augmentation: A Study on the Humanoid. In: Proceedings of the 2015 IEEE International Conference on Robotics and Automation (ICRA). 2015 IEEE International Conference on Robotics and Automation (ICRA), 26-30 May 2015, Seattle, WA, USA. IEEE , pp. 5094-5100. ISBN 978-1-4799-6923-4

Abstract

Metadata

Authors/Creators:
Keywords: Foot; Torque; Radio frequency; Mechanical energy; Predictive models; Robot kinematics
Dates:
  • Published: 2 July 2015
  • Published (online): 2 July 2015
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 16 Jul 2019 09:45
Last Modified: 16 Jul 2019 09:45
Status: Published
Publisher: IEEE
Identification Number: https://doi.org/10.1109/ICRA.2015.7139908
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