Research article of American Journal of Scientific Research and Essays
DIGITAL LEARNING of MACHINES AND ITS INTERFACING TECHNIQUES
Prashant Unnikrishnan Nair
University of North Carolina, Kenan-Flagler Business School
The paper discusses a unique technique developed initially at Nation Institute of Technology, Surat that is remodeled in real world applications. The concept consists primarily of a user-friendly software facilitating direct communication with any intelligent or learning system/robot operating under known parameters of motor specifications. Any software base permitting high level PC interface without ASCII interrupt can be used and here Visual Basic is represented for easy programing. This allow for a learning operation mode where a prevention of time lag implementation stores machine data based on movements by the machine stored or actions taught. Such learning aspects make the machine more efficient where the robot can either perform individual actions as needed or learn new methods for the same results and can perform a series of actions continuously. Using the stored data, the machine is also capable of autonomous movements based on the path of least resistance as calculated by the time it takes to perform an act.
Unlike the ALPHA model, new and improved model is tested on a CNC 6 axis manufacturing machine
This paper focuses on methodology of interface through VB programing and does not contain associated files to retain any possible patent applications.
Keywords: AI- Artificial intelligence Interface- Firmware device that interacts with the machine and the user. RPM- rotation per minute Hexadecimal – a 16 digits format in sequence of 4 that is used instead of traditional ASCII codes
How to cite this article:
Prashant Unnikrishnan Nair. DIGITAL LEARNING of MACHINES AND ITS INTERFACING TECHNIQUES. American Journal of Scientific Research and Essays, 2019 4:25. DOI:10.28933/ajsre-2019-06-0504
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