Object co-occurrence graph for object search in 3D environment

Puwanan Chumtong*, Yasushi Mae, Kenichi Ohara, Tomohito Takubo, Tatsuo Arai

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

We propose a method of using object co-occurrence graph for mobile service robots to search for small-scale objects in 3D environments without pre-defined map. Object co-occurrence graph describes co-occurrence relations between objects in scenes. The presence of other large objects in the environment, which are easier to be found, provides cues to search for a small object related to the large object. If the target object is often near to a large object, robot firstly finds the large object, and then searches around the large object for the target object. Thus, using object co-occurrence graph makes object searching task easier and more efficient. The object co-occurrence graph is automatically constructed by many tagged images from the WWW. Our experiment shows a robot searching for a target object using object co-occurrence graph.

Original languageEnglish
Title of host publicationProceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11
Pages999-1002
Number of pages4
Publication statusPublished - 2011
Externally publishedYes
Event16th International Symposium on Artificial Life and Robotics, AROB '11 - Beppu, Oita, Japan
Duration: 27 Jan 201129 Jan 2011

Publication series

NameProceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11

Conference

Conference16th International Symposium on Artificial Life and Robotics, AROB '11
Country/TerritoryJapan
CityBeppu, Oita
Period27/01/1129/01/11

Keywords

  • Mobile robot
  • Object co-occurrence graph
  • Object searching

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