Effect of the"arm flexible landing strategy" for safe falling of a biped humanoid robot

Gan Ma*, Kenji Hashimoto, Qiang Huang, Atsuo Takanishi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A biped humanoid robot is prone to fall when walking or operating in a complex environment, and forward fall is one of the most common falling cases. This study focuses on the forward fall issue and presents an"Arm Flexible Landing Strategy" for safe falling. First, the forward falling motion is analyzed from an energy variation perspective of the robot system, and a method to choose best-fit landing attitude of the arm is presented. Then, a exible landing controller is implemented in the arm to reduce the impact force to the robot, thereby further increasing protection. The presented algorithm is very easy to implement and does not require any additional physical elements to the robot. Finally, a series of simulations are made on a humanoid robot to validate the effectiveness of the presented methods on a safe landing.

Original languageEnglish
Title of host publicationAustralasian Conference on Robotics and Automation 2016, ACRA 2016
PublisherAustralasian Robotics and Automation Association
Pages47-54
Number of pages8
ISBN (Electronic)9781634396080
Publication statusPublished - 2016
EventAustralasian Conference on Robotics and Automation 2016, ACRA 2016 - Brisbane, Australia
Duration: 2016 Dec 52016 Dec 7

Publication series

NameAustralasian Conference on Robotics and Automation, ACRA
Volume2016-December
ISSN (Print)1448-2053

Other

OtherAustralasian Conference on Robotics and Automation 2016, ACRA 2016
Country/TerritoryAustralia
CityBrisbane
Period16/12/516/12/7

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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