Web-based remote voice control of robotized cells

Adam Rogowski


The main goal of research presented in this paper was to develop an effective tool for remote voice control of robotized cells. This goal has been achieved by proper combination of two techniques: automatic speech recognition and web-based remote control of robotized cells. Comprehensive analysis of existing solutions related to the control with voice commands and those related to the web-based remote control has been performed. Usually the above mentioned topics are dealt with separately. Only few works tried to cope with the problem of how to combine solutions in these two areas. None of them was aimed at industrial applications. Unlike those works, my research is focused on remote voice control of industrial robotized cells. Besides, my approach does not presume application of a small set of simple pre-defined voice commands but it is based on the use of quasi-natural language instead. The main result of this research was the architecture of industrially oriented remote voice control system. Theoretical considerations have been practically verified in the laboratory. According to my knowledge, this laboratory implementation is the first-ever industrially oriented operational remote voice control system based on commands in quasi-natural language.
Author Adam Rogowski (FPE / IoMP)
Adam Rogowski,,
- The Institute of Manufacturing Processes
Journal seriesRobotics and Computer-Integrated Manufacturing, ISSN 0736-5845
Issue year2013
Publication size in sheets0.6
Keywords in Englishweb-based remote control; speech recognition; distributed voice control
ASJC Classification2209 Industrial and Manufacturing Engineering; 1706 Computer Science Applications; 2600 General Mathematics; 1712 Software; 2207 Control and Systems Engineering
URL http://www.sciencedirect.com/science/article/pii/S0736584512001354
Languageen angielski
Score (nominal)35
Score sourcejournalList
ScoreMinisterial score = 30.0, 08-06-2020, ArticleFromJournal
Ministerial score (2013-2016) = 35.0, 08-06-2020, ArticleFromJournal
Publication indicators Scopus Citations = 14; WoS Citations = 6; GS Citations = 3.0; Scopus SNIP (Source Normalised Impact per Paper): 2013 = 3.01; WoS Impact Factor: 2013 = 1.839 (2) - 2013=1.929 (5)
Citation count*22 (2020-09-16)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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