Modeling and Development of a Spoken Natural Language Interface for Autonomous Robot Interaction
| Autor: | Alexandre Santos Brandao, Alexandre G. Caldeira |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Natural language user interface
business.industry Interface (Java) Computer science 020207 software engineering Mobile robot Robotics 02 engineering and technology Autonomous robot Human–computer interaction 0202 electrical engineering electronic engineering information engineering Robot 020201 artificial intelligence & image processing Artificial intelligence business Natural language Spoken language |
| Zdroj: | 2018 Latin American Robotic Symposium, 2018 Brazilian Symposium on Robotics (SBR) and 2018 Workshop on Robotics in Education (WRE). |
| Popis: | Human-robot interaction with autonomous robots, based on spoken language, is an user intuitive approach to unlock further developments in the field of robotics, although still a challenging problem. The focus of the paper is at developing a spoken natural language dialogue interface, flexible and scalable in terms of number of understood and executed commands, without environment noise constraints. Our main objetive is to perform a word morphological analysis in order to provide a text classification. The developed system uses Google Speech Recognizer installed in a smartphone and a laptop connected to it via Bluetooth interface. The proposed algorithm is capable to recognize words despite grammatical tense, with a low error rate and a high language flexibility. The technologies and devices applied guarantee a light, efficient and low-cost solution, unlocking new possibilities for further study and development of better, more autonomous and environment-adaptable robots. |
| Databáze: | OpenAIRE |
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