Statistical methods for speech recognition
Statistical methods for speech recognition
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Jijo-2: An Office Robot that Communicates and Learns
IEEE Intelligent Systems
Automatic labeling of semantic roles
Computational Linguistics
Human-Robot Interaction Through Gesture-Free Spoken Dialogue
Autonomous Robots
A conceptual dependency parser for natural language
COLING '69 Proceedings of the 1969 conference on Computational linguistics
Intelligent virtual environment for process training
Advances in Engineering Software
A Neural Syntactic Language Model
Machine Learning
On natural language dialogue with assistive robots
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Voice activated command and control with speech recognition over WiFi
Science of Computer Programming - Special issue: Principles and practices of programming in Java (PPPJ 2004)
User Modeling and User-Adapted Interaction
Experiments with service-oriented architectures for industrial robotic cells programming
Robotics and Computer-Integrated Manufacturing
A statistical semantic parser that integrates syntax and semantics
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Improving sequence segmentation learning by predicting trigrams
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Web-based remote voice control of robotized cells
Robotics and Computer-Integrated Manufacturing
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The purpose of my research was to develop a novel voice control system for the use in the robotized manufacturing cells as well as to create tools providing its simple integration into manufacturing. A comprehensive study of existing problems and their possible solutions has been performed. Unlike some other works, it focused on the specific requirements that should be fulfilled by industrially oriented voice control systems. Analysis of existing solutions related to the natural language processing and those related to various voice control applications has been performed. Its goal was to establish the optimal method of voice command analysis for industrially oriented systems. Finally, a voice control system for manufacturing cells has been developed, implemented and practically verified in the laboratory. Unlike many other solutions, it takes into consideration almost all aspects of voice command processing (speech recognition, syntactic and semantic analysis and spontaneous speech effects) and - most importantly - their mutual influence. To provide the simple system customization (integration into any particular manufacturing cells), a special format for quasi-natural sublanguage syntax definition has been developed. A novel algorithm for semantic analysis, using specific features of voice commands used for controlling industrial devices and machines, has been incorporated into the system. Successful implementation in the educational robotized machining cell shows that industrial applications should be possible in the very next future.