Vision-based obstacle run for teams of humanoid robots

Jacky Baltes, Chi Tai Cheng, Jonathan Bagot, John Anderson

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

1 Citation (Scopus)

Abstract

This demonstration shows a team of small humanoid robots traverse an environment through a set of obstacles. The robots' brain are implemented using mobile phones for vision, balance, and processing. The robots use particle filters to localize themselves and to map the environment. A frontier-based exploration algorithm is used to direct the robots to overcome obstacles and to explore all regions of the environment.

Original languageEnglish
Title of host publication10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1245-1246
Number of pages2
Volume2
Publication statusPublished - 2011
Externally publishedYes
Event10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011 - Taipei, Taiwan
Duration: 2011 May 22011 May 6

Other

Other10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011
CountryTaiwan
CityTaipei
Period11/5/211/5/6

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Keywords

  • Exploration
  • Multiagent Systems
  • Visual SLAM

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Baltes, J., Cheng, C. T., Bagot, J., & Anderson, J. (2011). Vision-based obstacle run for teams of humanoid robots. In 10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011 (Vol. 2, pp. 1245-1246). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).