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- Title
THE KEY TECHNOLOGIES FOR EMBEDDED SYSTEMS IN MECHANICAL ASSEMBLY ROBOTS.
- Authors
Yicen Xu; Xiaobing Cao
- Abstract
The objectives are to improve the utilization efficiency of robots and accelerate the intelligent development of mechanical assembly robots, thereby boosting the development model of human-computer interaction. First, the definition and composition of the embedded system are expounded, and the characteristics of the embedded system are introduced in detail. Second, the application principles and speech recognition methods of the optimized Advanced RISC Machine 9 (ARM9) embedded operator are introduced. Finally, the Pocket Spinx (PS) speech recognition technology is used for embedded optimization of robotic mechanical assembly. The research results show that compared with other systems, the embedded system can generate a technical system that matches the target according to different targets. It is characterized by unique application, immediacy, short code, and stable operation. ARM9 is a popular embedded operator. The operator is moderately priced and stably operated. Its internal core devices can be updated to differentiate into different series. PS speech recognition is an innovative change to the embedded hard components of the system. After being loaded to the personal computer, a specific discourse mode can be established. PS speech recognition technology can be smoothly embedded into the mechanical assembly robot, improving the speech recognition ability and working ability of the mechanical assembly robots, which provides a powerful basis for the intelligent development of the robots.
- Subjects
SPEECH perception; MECHANICAL ability; HUMAN-computer interaction; SURGICAL robots; PERSONAL computers; ROBOTIC assembly; ROBOTS
- Publication
Academic Journal of Manufacturing Engineering, 2019, Vol 17, Issue 4, p191
- ISSN
1583-7904
- Publication type
Article