Development of Prototype Electric-driven 2-DoF Monopod Robot for Hopping Motion

Asahi Anzai, Toshihide Doi, Kazuki Hashida, Xuechao Chen, Lianqiang Han, Kenji Hashimoto

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

Abstract

The purpose of this study is to develop a one-legged hopping robot MH-1, which is the smallest configuration of a legged robot, with the long-term goal of developing a multi-legged robot capable of jumping and running. In this study, we aim to make MH-1 realize hopping while MH-1 is constrained so that it could only move in the vertical direction. The leg is a 2-DoF serial link mechanism with pitch axes at the hip and knee joints. Based on the simulation and experimental results of the prototype called MH-1P, the actuators and reduction gears were selected. We then designed and fabricated an electrically driven 2-DoF monopod robot (height: 510 mm, mass: 6.9 kg) that can withstand the impact of hopping and landing. As a result of the experiment on the actual robot, it was confirmed that MH-1 realized hopping based on the floor reaction force obtained from the force plate during hopping.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1182-1187
Number of pages6
ISBN (Electronic)9781665441001
DOIs
Publication statusPublished - 2021 Aug 8
Externally publishedYes
Event18th IEEE International Conference on Mechatronics and Automation, ICMA 2021 - Takamatsu, Japan
Duration: 2021 Aug 82021 Aug 11

Publication series

Name2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021

Conference

Conference18th IEEE International Conference on Mechatronics and Automation, ICMA 2021
Country/TerritoryJapan
CityTakamatsu
Period21/8/821/8/11

Keywords

  • hopping
  • monopod robot

ASJC Scopus subject areas

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

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