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Towards a network robot system for object identification and localization in RoboCup@Home
Örebro University, School of Science and Technology. (AASS)
Örebro University, School of Science and Technology. (AASS)
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-9652-7864
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0001-8229-1363
2008 (English)Conference paper, (Refereed)
Abstract [en]

This paper describes a realization of a network robot system for autonomous object localization and identification. Developing a ``Lost \& Found'' capability, the use of which can be envisaged in a wide range of applicative domains including domestic assistive scenarios, is a challenging task for current AI and robotic technology. Indeed, this task is currently one of the core challenges within the RoboCup@Home competition. A number of approaches for implementing a robust and general Lost \& Found functionality are feasible. In this paper we present a solution which integrates state-of-the-art intelligent software, robotic and sensory components in a distributed network of cooperating modules. This article describes the design and implementation of the system, provides a preliminary experimental evaluation and discusses the applicability of our approach to the RoboCup@Home challenge.

Place, publisher, year, edition, pages
2008.
National Category
Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-7120OAI: oai:DiVA.org:oru-7120DiVA: diva2:221329
Conference
IROS-08 Workshop on Network Robot Systems, Nice, France
Available from: 2009-06-04 Created: 2009-06-04 Last updated: 2016-12-13Bibliographically approved

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  • apa
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Output format
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