Article

Article title MULTIMODAL INTERFACES FOR AUTONOMOUS MOBILE ROBOTIC SYSTEMS
Authors A.L. Ronzhin, R.M. Yusupov
Section SECTION V. SYSTEM AND CONTROL POINTS
Month, Year 01, 2015 @en
Index UDC 004.5
DOI
Abstract The peculiarities of the development of multimodal user interfaces for robotic systems, which provide the perception and contextual analysis of the current environment and interaction with untrained end users, are considered. Development of user interface for professional operator of workstation of industrial or special purpose information management system is based on regulated techniques and scenarios of the system control. The main problems in the development of multimodal user interfaces are natural variability of signals and modes of information transmission, as well as the heterogeneity of software and hardware of mobile intelligent robotic system. The aim of the research is the application of multimodal interfaces, processing natural for human modes of communication (speech, gestures, body movements, head, hand-written sketches, gaze direction, facial expressions, etc.), in order to provide intuitive interaction between users and intelligent modules civil and special purpose, which are embedded in the surrounding objects and mobile systems. Now the presence of a natural way of interaction is so important feature of the device as its functionality. Also note that the physical constraints and personal preferences affect the choices of available or the most convenient way to interact. Construction of context-aware system allow robot with multimodal interface to take into account the preferences and the user experience, as well as to adapt their work, analyzing the conditions of the physical environment and the state of the available computing and network resources. In the framework of the proposed approach used set of natural input and output modalities is determined at the development stage of interactive multimodal applications. The results of the development of a multimodal interface for information navigation robotic system are presented.

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Keywords Multimodal interfaces; robotic systems; context; heterogeneous mobile devices; intelligent environments.
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