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NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
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EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
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Handbook of Knowledge Representation
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CRV '09 Proceedings of the 2009 Canadian Conference on Computer and Robot Vision
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IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
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COSIT'09 Proceedings of the 9th international conference on Spatial information theory
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ER'10 Proceedings of the 29th international conference on Conceptual modeling
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KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
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COSIT'11 Proceedings of the 10th international conference on Spatial information theory
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ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
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RoboCup 2005
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Qualitative Spatial Representation and Reasoning: An Overview
Fundamenta Informaticae - Qualitative Spatial Reasoning
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In this paper a new concept of Mobile Spatial Assistive Intelligence (MSAI) applied for the control and supervision of web connected mobile robots is introduced. Mobile Intelligence is implemented as MSAS (Mobile Spatial Assistance System) - a mobile robot available to perform Qualitative Spatio-Temporal Representation and Reasoning (QSTRR). Taking up this subject is justified by the need of developing new methods for the control, supervision and integration of existing modules (inspection robots, autonomous robots, mobile base station). The research problem comprises the web connected mobile robots system development structure with the exemplification based on the inspection-intervention system. Using QSTRR for supervision and control of robotics system is a novel approach and I believe that this framework can decrease the cognitive load for a human operator. The main task for MSAS is to build the semantic model of the structured environment based on its observations. This semantic model is used by a qualitative reasoner - an important component of MSAI, to perform spatial entities' supervision based on the spatial relations and the spatio-temporal events. The experiments' results obtained using the prototype of MSAS in real indoor environment are also discussed. This approach can be used for the design of the intelligent human machine interface that can help in controlling the robot during the risky scenarios.