Design of intelligent robot control system based on human–computer interaction
Shanrong Pan ()
Additional contact information
Shanrong Pan: Changsha University of Science and Technology
International Journal of System Assurance Engineering and Management, 2023, vol. 14, issue 2, No 7, 558-567
Abstract:
Abstract In order to improve the service quality and control effect of the robot, this paper constructs an intelligent robot control system based on the principle of human–computer interaction, and designs a model-based control algorithm to identify the dynamic model of the robot. Aiming at the problem of robot natural language instruction understanding, a set of instruction understanding methods based on instruction intention understanding and key information extraction are proposed. This method realizes the understanding of the instruction intention through short text classification, and realizes the key information extraction of the instruction through sequence labeling. In addition, for robot voice human–computer interaction, this paper designs and implements a set of far-field voice interaction system based on microphone array, voice wake-up and voice recognition. Finally, this paper designs experiments to analyze the effects of the system in this paper. From the experimental research, the intelligent robot control system based on human–computer interaction proposed in this paper has good service capabilities.
Keywords: Human–computer interaction; Robot; Control system; Intelligent system (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s13198-021-01267-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:14:y:2023:i:2:d:10.1007_s13198-021-01267-9
Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198
DOI: 10.1007/s13198-021-01267-9
Access Statistics for this article
International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar
More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().