Skip to main navigation Skip to search Skip to main content

Rhythmic control method of a worm robot based on neural CPG

  • Zhejiang University
  • Beijing Advanced Innovation Center for Big Data and Brain Computing
  • Beihang University

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

Abstract

In this study, a motion control method is designed for software bionic robot based on peristaltic mechanism and central pattern generator (CPG). The earthworm, as a representative animal of Annelida, is chosen as the prototype of bionics. By making biological analysis of red earthworm and taking a lot of observations of the creep in the soil, the deformation mode and peristaltic mode of the robot are determined, then a continuous flexible deformation worm robot is designed and made which consists of a variable parallelogram array based on Similar Design Principle. The robot is made up of six modular telescoping units, and we call the unit 'a segment', which is the same as that of earthworms. The robot is controlled by CPG, which is specially designed according to the rhythmic motion of invertebrate; the differences between CPG and normal control were compared, and the simulation showed that CPG is more suitable for such rhythm control. By referring to relevant document literature and experiments, the intensity and rigidity of connecting rod in different positions in each telescopic unit are determined, and the key structures such as quadrilateral node connecting piece, driving motor base and bidirectional retracting wheel are designed. And one-dimensional shrinkage and expansion was achieved by one motor, too. The robot will be miniaturized, which will be widely used in special operations, medical fields and micro-pipe testing.

Original languageEnglish
Title of host publicationProceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1108-1112
Number of pages5
ISBN (Electronic)9781538637579
DOIs
StatePublished - 26 Jun 2018
Event13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 - Wuhan, China
Duration: 31 May 20182 Jun 2018

Publication series

NameProceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018

Conference

Conference13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018
Country/TerritoryChina
CityWuhan
Period31/05/182/06/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • CPG
  • bionic robot
  • rhythmic motion
  • software robot
  • worm

Fingerprint

Dive into the research topics of 'Rhythmic control method of a worm robot based on neural CPG'. Together they form a unique fingerprint.

Cite this