A falling motion strategy for humanoids based on motion primitives of human falling

Libo Meng*, Zhangguo Yu, Weimin Zhang, Xuechao Chen, Marco Ceccarelli, Qiang Huang

*Corresponding author for this work

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

Abstract

In this paper, a falling motion planning for humanoid robots is proposed as inspired from human falling in order to decrease the impact force significantly. Firstly, motion data of human falling are obtained from a motion track system. Then, two falling motion primitives, namely, knee bending with stretching and hip bending with stretching are identified from human falling tests. A motion strategy is used to combine the falling motion primitives in motion strategy for humanoid falling in order to minimize the impact effects. Simulations and experiments with a humanoid robot have verified the proposed falling motion strategy.

Original languageEnglish
Title of host publicationAdvances in Service and Industrial Robotics - Proceedings of the 26th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2017
EditorsCarlo Ferraresi, Giuseppe Quaglia
PublisherSpringer Netherlands
Pages264-272
Number of pages9
ISBN (Print)9783319612751
DOIs
Publication statusPublished - 2018
Event26th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2017 - Turin, Italy
Duration: 21 Jun 201723 Jun 2017

Publication series

NameMechanisms and Machine Science
Volume49
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

Conference26th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2017
Country/TerritoryItaly
CityTurin
Period21/06/1723/06/17

Keywords

  • Biomechanics
  • Experimental robotics
  • Falling protection
  • Humanoid robots
  • Motion planning

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