Analysis of drop test using a one-legged robot toward parachute landing by a humanoid robot

Teppei Tsujita, Odpurev Altangerel, Satoko Abiko, Atsushi Konno

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

4 Citations (Scopus)

Abstract

Discussions on how to perform tasks at disaster sites are actively conducted, but there is little debate on important issues such as how to deliver robots to disaster sites. To drop a humanoid robot with a parachute from an airplane is one of the promising ways of delivering robots. In this paper, the behavior of falling during parachute landing is modeled with an inverted pendulum model and the validity of the model is verified by the drop tests with a small single-legged robot. In addition, it was found that when the robot was dropped with a half-sitting posture, the impact acceleration is reduced. Based on this result, a parachute landing fall motion is designed and is succeeded in reducing the impact acceleration to 41%.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages221-226
Number of pages6
ISBN (Electronic)9781538637418
DOIs
Publication statusPublished - 2018 Mar 23
Event2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017 - Macau, China
Duration: 2017 Dec 52017 Dec 8

Publication series

Name2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
Volume2018-January

Other

Other2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017
Country/TerritoryChina
CityMacau
Period17/12/517/12/8

Keywords

  • Humanoid Robots
  • Parachute Landing Fall
  • Shock Absorbing Motion

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering
  • Control and Optimization
  • Modelling and Simulation

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