A combined method based on visual and communication for simulative agent localization

Jia Wu, Zhihua Cai, Hao Zheng, Xiaoming Liu, Peng Chen

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The Agent localization is very important in RoboCup. To solve the localization problem is a key issue in making truly autonomous agent. It can be difficult to try to make it own mind to what to do next. The existence of uncertainty in both the driving and the sensing of the agent is the key aspect to determine the location of agent as accurately as possible. The uncertain information should be combined in an optimal way. In this paper, we propose out a novel method to get the localization of agent. In our new method, we use the combination of visual and communication methods to achieve the target. Communications mainly use coding approach, visual mainly through geometry and rotation matrix approach. The results of applying new method to competition of the Robot Cup Opening show that the positioning of the agents using our methods in aspects of speed and accuracy can satisfy the requirement.
Original languageEnglish
Pages (from-to)133-140
Number of pages8
JournalJDCTA (International Journal of Digital Content Technology and its Applications)
Volume6
Issue number5
Publication statusPublished - 2012
Externally publishedYes

Keywords

  • agent localization
  • coding communications
  • rotation matrix

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