2013
DOI: 10.1177/0278364913481635
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Abstract: Autonomous service robots will have to understand vaguely described tasks, such as "set the table" or "clean up". Performing such tasks as intended requires robots to fully, precisely, and appropriately parameterize their low-level control programs. We propose knowledge processing as a computational resource for enabling robots to bridge the gap between vague task descriptions and the detailed information needed to actually perform those tasks in the intended way. In this article, we introduce the KNOWROB know… Show more

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Cited by 297 publications
(142 citation statements)
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“…Our motivation is to improve the learning of object labels, rather than the classification of specific human motions. As an alternative to learning complex actions (or activities), Tenorth and Beetz (2013) introduced a complementary knowledge processing system (KnowRob). The authors introduced the use of commonsense information on a larger scale (such as information from the Web) to reason upon a perceived scene and inferring possible actions (or action primitives) for robot manipulation tasks.…”
Section: Related Workmentioning
confidence: 99%
“…Our motivation is to improve the learning of object labels, rather than the classification of specific human motions. As an alternative to learning complex actions (or activities), Tenorth and Beetz (2013) introduced a complementary knowledge processing system (KnowRob). The authors introduced the use of commonsense information on a larger scale (such as information from the Web) to reason upon a perceived scene and inferring possible actions (or action primitives) for robot manipulation tasks.…”
Section: Related Workmentioning
confidence: 99%
“…Mostly, in a LRS, knowledge is acquired manually from domain experts through interviews, where experts communicate their knowledge using questionnaires (Connaghan et al, 2013;Dimitroula et al, 2001;Selva & Crawley, 2012). However, knowledge in forms of rules can be acquired automatically, such as RUBRIC which constructs rules from thesauri (Minkoo et al, 2000) and semi-automated like KnowRob, which automatically acquires information from different knowledge sources with the aid of human for correcting mistakes and aligning imported knowledge sources (Tenorth & Beetz, 2013).…”
Section: Logical Rule-based Systemmentioning
confidence: 99%
“…Prolog is the programming language used mostly for knowledge representation in logical rule-based systems, as seen in WUENIC (Kowalski & Burton, 2012), sports coaching (Connaghan et al, 2013), KnowRob (Tenorth & Beetz, 2013) and online poker agent (Teofilo et al, 2014). Other development tools used are CLIPS, for the implementation of FUNAGES (Dimitroula et al, 2001).…”
Section: Logical Rule-based Systemmentioning
confidence: 99%
“…For instance, the Oro framework creates a sophisticated ontology and uses it to justify observed inconsistencies on a robot [26]. The KnowRob architecture for service robots uses knowledge bases created from different sources to perform limited analysis of the reasons for unexpected observations [27]. Other examples include the use of ASP for planning and diagnostics by one or more simulated robot housekeepers [28] and mobile robot teams [29] and by robots reasoning about domain knowledge learned through natural language interactions with humans [30].…”
Section: Related Workmentioning
confidence: 99%