John Robles
Papers
1
Total Citations
3
H-Index
1
About
John Robles is a researcher at the intersection of robotics and applied artificial intelligence, with a primary focus on industrial automation and computer vision. His most notable work involves the integration of convolutional neural networks with robotic manipulators for precision agricultural tasks. In his landmark 2022 paper, Robles designed and implemented an automatic coffee bean selection system that combines a Scara Epson robot arm with a CNN-based classifier, demonstrating a practical pipeline for real-time object identification and physical sorting. This work, which has garnered 3 citations, showcases his ability to bridge the gap between deep learning models and tangible industrial applications. Robles’ contributions are particularly significant for the growing field of smart agriculture, where his approach to extracting and handling irregularly shaped objects offers a template for automating quality control in food processing. By focusing on the synergy between neural network inference and robotic actuation, he provides a compelling case study for researchers and students interested in deploying AI beyond the lab and into real-world manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1