Short Title: Int. J. Mech. Eng. Robot. Res.
Frequency: Bimonthly
Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
2024-06-06
2024-09-03
2024-07-09
Abstract—Service robot have been designed and developed for different objectives and requirements. Since robotic revolution, Vietnam is one of the most influenced among South-east Asia countries in developing artificial intelligence. People believe that robot will replace all blue-collars in almost company, even hospital and school in next few decades, therefore developers are trying to improve natural language interaction between human and robot, especially helping new vision for Vietnamese robotics. We have built a robot application that capable of understand Vietnamese natural language, there are four tasks which was mentioned solving the problems, even more AI method. Deep learning, on the other hand, is a sub-field of machine learning. In this paper, with these algorithms, artificial intelligent supported is much complex, people can communicate naturally with robot, not only English but also Vietnamese at well. In this paper, we will introduce the specification and intelligent interaction processing in naturally Vietnamese.