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Using semantic knowledge in robotics
University of Osnabrück, Inst. of Computer Science, Knowledge-Based Systems Research Group Osnabrück, Germany.
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0001-8229-1363
2008 (English)In: Robotics and Autonomous Systems, ISSN 0921-8890, E-ISSN 1872-793X, Vol. 56, no 11, p. 875-877Article in journal (Refereed) Published
Abstract [en]

There is a growing tendency to introduce high-level semantic knowledge into robotic systems and beyond. This tendency is visible in different forms within several areas of robotics. Recent work in mapping and localization tries to extract semantically meaningful structures from sensor data during map building, or to use semantic knowledge in the map building process, or both. A similar trend characterizes the cognitive vision approach to scene understanding. Recent efforts in human–robot interaction try to endow the robot with some understanding of the human meaning of words, gestures and expressions. Ontological knowledge is increasingly being used in distributed systems in order to allow automatic re-configuration in the areas of flexible automation and of ubiquitous robotics. Ontological knowledge was also used recently to improve the inter-operability of robotic components developed for different systems.

While these trends have many questions and issues in common, work on each one of them is often pursued in isolation within a specific area, without being aware of the related achievements in other areas. The aim of this special issue is to collect in a single place a set of advanced, high-quality papers that tackle the problem of using semantic knowledge in robotics in many of its different forms.

The submissions to this special issue made it clear that there are many ways in which semantic knowledge may play a role in robotics. Interestingly, they also revealed that there are many ways in which the term semantic knowledge is being interpreted. Before turning to the technical papers, then, it is worth spending a few words on this matter.

Place, publisher, year, edition, pages
2008. Vol. 56, no 11, p. 875-877
National Category
Computer Sciences Engineering and Technology
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-7104DOI: 10.1016/j.robot.2008.08.002OAI: oai:DiVA.org:oru-7104DiVA, id: diva2:221109
Note

Editorial material.

Available from: 2009-06-03 Created: 2009-06-03 Last updated: 2018-01-13Bibliographically approved

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Saffiotti, Alessandro

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