Humanoid robot: behaviour synchronization and depth estimation

Phua Seong Hock, S. Parasuraman, M. K.A.Ahamed Khan, Irraivan Elamvazuthi

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

1 Citation (Scopus)

Abstract

This work involves various robot behaviours that are required to play soccer using simple primitive rules and then these individual behaviours will be synchronized together so that the humanoid robot is able to play soccer autonomously. The behaviours created are separated into two categories namely object detection behaviours and motion behaviours. In object detection behaviours consists of Red Ball Detection which uses the primitive rules of colour blob segmentation and depth estimation through trigonometric properties. In motion behaviours consists of Scoring, Kip Up and Diving which uses the primitive rule of support polygon and centre of mass. Once these behaviours are designed and created, it is synchronized into two different roles namely player and keeper. The final part of this project is to analyse some of the primitive rules used to design the behaviours so that comparative studies could be done. This project ends with the objectives being achieved and an autonomous humanoid robot which is able to play soccer is successfully being created.

Original languageEnglish
Title of host publicationIEEE International Symposium on Robotics and Intelligent Sensors, IEEE IRIS 2015
Pages276-282
Number of pages7
Volume76
DOIs
Publication statusPublished - 2015
EventIEEE International Symposium on Robotics and Intelligent Sensors 2015 - Langkawi, Malaysia
Duration: 18 Oct 201520 Oct 2015
https://www.sciencedirect.com/journal/procedia-computer-science/vol/76/suppl/C (Proceedings)

Publication series

NameProcedia Computer Science
PublisherElsevier
ISSN (Print)1877-0509

Conference

ConferenceIEEE International Symposium on Robotics and Intelligent Sensors 2015
Abbreviated titleIRIS 2015
Country/TerritoryMalaysia
CityLangkawi
Period18/10/1520/10/15
Internet address

Keywords

  • Depth estimation
  • Humanoid Robot
  • Motion behavior
  • Segmentation

Cite this