DEVELOPING NLP-BASED VERBAL COMMUNICATION SYSTEMS FOR SERVICE ROBOTS EFFICIENTLY BY ADDRESSING DIFFERENT VERBAL COMMUNICATION TASKS SEPARATELY

摘要

Having a Verbal Communication System that understandsrnNatural Language without constraining users to key wordsrnor key phrases is essential for service robots to be used inrnreal world environments. Developing a system thatrnunderstands natural language is a complex task andrnusually comes at a great cost, that's why typicallyrnresearchers and developers of service robots resort to keyrnwords and key phrases instead of developing systems thatrnunderstand commands in natural language.rnThis research focuses on practical and cost efficientrnapproaches for developing Verbal CommunicationrnSystems for service robots that are capable ofrnunderstanding commands and questions in naturalrnlanguage. The efficiency of the presented approachrnemerges from applying different NLP disciples andrntechniques to solve particular issues in the Service RobotrnVerbal Communication Domain instead of treating thernVerbal Communication System for Service Robots as onernbig problem.rnThe aim of this research is to help other researchers andrndevelopers to develop intelligent verbal communicationrnsystems that understand natural language for their servicernrobots in time and budget limited environments withoutrnsacrificing the quality of robot's verbal communicationrnsystem.