Cesar Minaya
Papers
1
Total Citations
2
H-Index
1
About
Cesar Minaya is a rising figure in the field of robotics and artificial intelligence, with a focused expertise in the application of neural networks for autonomous control systems. His most notable contribution, detailed in his 2024 paper "Application of Multilayer Neural Networks for Controlling a Line-Following Robot in Robotic Competitions," demonstrates a novel approach to integrating AI algorithms into competitive robotics. By using multilayer neural networks to dynamically control wheel torque, Minaya’s work bridges the gap between theoretical machine learning and practical, real-time robotic performance. This research, which has already garnered 2 citations, is particularly significant for its validation of neural network-based control in high-stakes environments like robotic competitions, where precision and adaptability are critical. Minaya’s work not only advances the design of line-following robots but also provides a scalable framework for applying AI to other autonomous navigation challenges. As a researcher at the intersection of AI and robotics, Minaya is establishing himself as a key contributor to the development of intelligent, competition-ready robotic systems.
Research Focus
Key Achievements
Top Papers
- 1