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Steps toward detecting and recovering from perceptual failures
Örebro universitet, Institutionen för teknik. (Mobile Robotics Lab)
Örebro universitet, Institutionen för teknik. (Mobile Robotics Lab)ORCID-id: 0000-0002-0458-2146
Örebro universitet, Institutionen för teknik. (Mobile Robotics Lab)ORCID-id: 0000-0001-8229-1363
2004 (engelsk)Inngår i: Proceedings of the 8th international conference on intelligent autonomous systems, 2004, s. 793-800Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

An important requirement for autonomous systems is the ability to detect and recover from exceptional situations such as failures in observations. In this paper we investigate how traditional AI planning techniques can be used to reason about observations and to recover from these situations. In this first step we concentrate on failures in perceptual anchoring. We illustrate our approach by showing experiments run on a mobile robot equipped with a color camera.

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2004. s. 793-800
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URN: urn:nbn:se:oru:diva-3910OAI: oai:DiVA.org:oru-3910DiVA, id: diva2:138209
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8th international conference on intelligent autonomous systems, IAS, Amsterdam
Tilgjengelig fra: 2007-08-13 Laget: 2007-08-13 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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http://www.aass.oru.se/Research/Robots/publications.html

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Broxvall, MathiasKarlsson, LarsSaffiotti, Alessandro

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