Bilişsel Robotlarda Ortam Modelleme

Translated title of the contribution: World modeling for cognitive robots

Melodi Deniz Ozturk, Mustafa Ersen, Mehmet Biberci, Sanem Sariel, Hulya Yalcin

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

Abstract

In this paper, a scene interpretation system is proposed for cognitive robots to detect failures during their action executions. This system combines object recognition and segmentation results to maintain a consistent model of the world. Objects in the scene are recognized by using both color and depth information, and the unknown objects are segmented by using Euclidean clustering on the depth values. In addition to the locations of the objects, the world model includes some useful spatial relations for a tabletop object manipulation scenario: on, on-table, clear and near. The results of the conducted experiments by using the information gathered from the onboard RGB-D sensors of our Pioneer 3-AT and Pioneer 3-DX robots show that the proposed system can be successfully used to create a consistent world model including spatial relations in an object manipulation scenario.

Translated title of the contributionWorld modeling for cognitive robots
Original languageTurkish
Title of host publication2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings
PublisherIEEE Computer Society
Pages1670-1673
Number of pages4
ISBN (Print)9781479948741
DOIs
Publication statusPublished - 2014
Event2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Trabzon, Turkey
Duration: 23 Apr 201425 Apr 2014

Publication series

Name2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings

Conference

Conference2014 22nd Signal Processing and Communications Applications Conference, SIU 2014
Country/TerritoryTurkey
CityTrabzon
Period23/04/1425/04/14

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