Towards a network robot system for object identification and localization in RoboCup@Home

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.

Janecek, JakobÖrebro University, Örebro, Sweden,AASS (författare)
Pecora, Federico,1977-Örebro universitet,Akademin för naturvetenskap och teknik,AASS(Swepub:oru)fpa (författare)
Saffiotti, Alessandro,1960-Örebro universitet,Akademin för naturvetenskap och teknik,AASS(Swepub:oru)asaffio (författare)
Örebro University, Örebro, SwedenAASS (creator_code:org_t)

Av författaren/redakt...: Borissov, Alexei; Janecek, Jakob; Pecora, Federico ...; Saffiotti, Aless ...

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