The 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) in 2022 brought together researchers and experts to share their latest findings in the fields of electrical engineering, computer science, and information technology.

One particularly interesting paper presented at the conference was:

Authors: Xavier Jonathon Blake, Narong Aphiratsakun

This paper explored the use of different neural network architectures, specifically regressive and classifying models, in the context of PID (Proportional-Integral-Derivative) controlled path-following for robotic systems. The researchers compared the performance and effectiveness of these approaches, providing valuable insights for researchers and engineers working on autonomous control systems.

The ECTI-Con2022 conference highlighted the advancements being made in the application of neural networks and control systems, showcasing the potential for these technologies to enhance the capabilities of various robotic and autonomous systems. The presented research demonstrates the ongoing efforts to push the boundaries of what is possible in these domains.