Christopher Allan G. San Juan
Papers
1
Total Citations
3
H-Index
1
About
Christopher Allan G. San Juan is a pioneering researcher in autonomous robotics and neural network vision systems. His most cited work, "Neural Network Vision-Guided Mobile Robot for Retrieving Driving-Range Golf Balls" (2006), demonstrates his innovative approach to integrating artificial intelligence with mechanical design. In this study, San Juan developed an autonomous mobile robot that uses neural network vision to identify and collect golf balls on driving ranges, employing red stripe recognition for boundary detection and rotating blades for efficient ball retrieval. While this foundational paper has garnered 3 citations, it represents a significant early contribution to the field of intelligent robotics, showcasing his ability to combine computer vision, neural networks, and mechanical engineering into a practical autonomous system. His work explores the intersection of machine learning and real-world robotic applications, particularly in object recognition and autonomous navigation. San Juan's research has implications for agricultural robotics, warehouse automation, and sports facility management, demonstrating how neural networks can enable machines to perceive and interact with unstructured environments. His contributions continue to inspire students and researchers working at the frontier of AI-driven robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1