Translate this page:
Please select your language to translate the article


You can just close the window to don't translate
Library
Your profile

Back to contents

Software systems and computational methods
Reference:

Urvanov G.A., Dan'shin V.V., Dyumin A.A., Chepin E.V. The system of human interaction as an agent of mobile robotic system

Abstract: The article reviews a system of management of robotic system in which a person acts as an executant. Here both person- executant and robot- executant are equal agents of the heterogeneous complex. It is supposed that agents of the heterogeneous complex regardless of the characteristics have a common goal and are able to adjust their actions during the execution of the task. The authors describe the structure of interactions within the heterogeneous complex. The article provides information on the implemented system of interaction with human as with agent of mobile robotic system. The authors describe structure of human-computer interaction in the heterogeneous robotic system. The heterogeneous robotic system is considered as a multi-agent system. The novelty of the approach described by the authors in the article is in considering the person as an equal agent of multi-agent system equal to intelligent robots. The prototype of the system of interaction with a person as an agent of robotic system was developed and tested in the faculty robotics laboratory of MEPhI. At present researchers are focused on improving the quality of interaction and unification of interaction system.


Keywords:

control system, robotics, multi-agent systems, human-computer interaction, voice messages, heterogeneous systems, mobile robots, intelligent systems, robotic systems, speech recognition


This article can be downloaded freely in PDF format for reading. Download article


References
1. Alomari M.H., Samaha A., AlKamha K. “Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning.”. International Journal of Advanced Computer Science and Applications (ijacsa), 2013 vol.2; pp:207-212.
2. Samek W., Binder A., Müller K.R. “Multiple Kernel Learning for Brain-Computer Interfacing”. Proceedings of 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013 vol.1; pp:48-51
3. Rajyalakshmi M., Kameswara Rao T., Prasad T.V. “Exploration of Recent Advances in the Field of Brain Computer Interfaces”. International Journal of Advanced Research in Artificial Intelligence, 2012 vol.1; pp:17-22
4. Dyumin A.A. “Architecture of reconfigurable software for mobile robotic systems”. Workshop on computer science and informational technologies CSIT’2009 vol.2; pp:122-124.
5. Bereznyak I.S., Chepin E.V., Dyumin A.A. “Scripting software for mobile robotic systems”. Workshop on computer science and informational technologies CSIT’2009 vol.2; pp:74-77.
6. Chepin E.V., Shapovalov N.K., Sorokoumov P.S. “Ideology and management software architecture for mobile robots”. Workshop on computer science and informational technologies CSIT’2012 vol.1; pp:21-23.
7. Chepin E.V., Dyumin A.A., Sorokoumov P.S., Urvanov G.A. “A prototype of the brain-computer interface for mobile robot”. Workshop on computer science and informational technologies CSIT’2013 vol.2; pp:202-206.
8. Denisenko V.A., Ksalov A.M., Goshokova F.M. Metodika razbora agglyutinativnykh yazykov dlya estestvenno-yazykovogo interfeysa v mul'tiagentnykh sistemakh i sistemakh osnovannykh na znaniyakh // Programmnye sistemy i vychislitel'nye metody. - 2013. - 3. - C. 225 - 229. DOI: 10.7256/2305-6061.2013.3.9141.