Danison R. Rodrigo
Papers
1
Total Citations
3
H-Index
1
About
Danison R. Rodrigo is a robotics researcher whose work bridges computer vision, neural networks, and autonomous navigation. His most cited paper, "Neural Network Vision-Guided Mobile Robot for Retrieving Driving-Range Golf Balls" (2006, 3 citations), introduces an autonomous robot that uses neural network-based vision to detect and collect golf balls on driving ranges. The robot identifies range boundaries via red stripes and employs a novel rotating blade mechanism for ball retrieval. This work exemplifies his focus on practical, vision-guided mobile robotics—combining real-time object recognition with mechanical design for unstructured environments. While his citation count is modest, the project demonstrates early integration of neural networks into field robotics, a precursor to modern autonomous systems. Rodrigo's contributions highlight the challenges of deploying AI in physical tasks, from environmental perception to mechanical actuation. For students and researchers, his work offers a grounded example of how neural vision can enable robots to operate in open, dynamic settings, inspiring further exploration into autonomous collection systems and vision-based navigation for service robotics.
Research Focus
Key Achievements
Top Papers
- 1