HubRobo: A Lightweight Multi-Limbed Climbing Robot for Exploration in Challenging Terrain

Kentaro Uno, Naomasa Takada, Taku Okawara, Keigo Haji, Arthur Candalot, Warley F.R. Ribeiro, Kenji Nagaoka, Kazuya Yoshida

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

7 Citations (Scopus)

Abstract

This study presents the design and sequential control strategies of a novel lightweight climbing robot. The quadruped robot with a left-right and front-hind symmetric insect-type configuration has three degrees of freedom (3-DOF) actuated joints in each limb, a 3-DOF passive compliant spine gripper at each foot, and an actuator to open/close the gripper. First, we present the mechanical design and minimal hardware integration of the robot, which have helped successfully reduce the entire mass of the robot to 3 kg with a base height of 0.16 m. Next, a sequential strategy to process stable climbing locomotion is introduced. The implemented software architecture that realizes climbing motion is described. With the successful result of a teleoperation experiment on an indoor test field simulating the Martian uneven slalom (local max. inclination: 45), we proved that the proposed sequential control strategy enables the robot to stably climb challenging terrain.

Original languageEnglish
Title of host publication2020 10th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2020
EditorsTamim Asfour, Dongheui Lee, Mombaur Katja, Katsu Yamane, Kensuke Harada, Ludovic Righetti, Nikos Tsagarakis, Tomomichi Sugihara
PublisherIEEE Computer Society
Pages209-215
Number of pages7
ISBN (Electronic)9781728193724
DOIs
Publication statusPublished - 2021
Event20th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2020 - Munich, Germany
Duration: 2021 Jul 192021 Jul 21

Publication series

NameIEEE-RAS International Conference on Humanoid Robots
Volume2021-July
ISSN (Print)2164-0572
ISSN (Electronic)2164-0580

Conference

Conference20th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2020
Country/TerritoryGermany
CityMunich
Period21/7/1921/7/21

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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