NDLI: Cognitive instruction interface for mobile robot navigation

Content Provider	IEEE Xplore Digital Library
Author	Elmogy, M. Habel, C. Jianwei Zhang
Copyright Year	2009
Description	Author affiliation: Department of Information Systems, Faculty of Computers & Information Sciences, University of Mansoura, Egypt (Elmogy, M.) \|\| Knowledge and Language Processing (WSV), Informatics department, University of Hamburg, Vogt-Kölln-straße 30, D-22527, Germany (Habel, C.) \|\| Technical Aspects of Multimodal Systems (TAMS), Informatics department, University of Hamburg, Vogt-Kölln-straße 30, D-22527, Germany (Jianwei Zhang)
Abstract	An essential aspect distinguishing robotics from other areas of artificial intelligent is their interaction with humans and their surrounding environments. Spatial knowledge can be represented in various ways to increase the interaction between human users and mobile robots. One effective way is to describe the route verbally to the robot. This method can permit inexpert users to instruct their mobile robots, which understand spatial descriptions, to naturally perform complex tasks using succinct commands. We present a spatial language to describe route-based navigation tasks for a mobile robot. The instructions of this spatial language are implemented to provide an intuitive interface with which computer language naïve user can easily and naturally describe a navigation task to a mobile robot in any indoor environment. In our system, the instructions of the processed route are analyzed to generate a symbolic representation of the navigation task via the instruction interpreter. The resulting symbolic representation is used to generate a graphical representation of the route to supply the robot with the information about the route's environment and the relationships between the landmarks. It is also supplied to the robot motion planning stage as initial path estimation of route description and to ground the landmark symbols with their equivalent physical objects by using perceptual anchoring.
Starting Page	115
Ending Page	120
File Size	247887
Page Count	6
File Format	PDF
ISBN	9781424458424
DOI	10.1109/ICCES.2009.5383298
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-14
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Navigation Indoor environments Natural language interfaces Path planning Human robot interaction Mobile robots Cognitive robotics Intelligent robots Robot motion spatial reasoning Computer languages navigation Artificial intelligence
Content Type	Text
Resource Type	Article

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