F. Aquino-Roblero
Papers
1
Total Citations
3
H-Index
1
About
F. Aquino-Roblero’s research lies at the intersection of mobile robotics, computer vision, and intelligent control systems, with a focus on enabling autonomous navigation in unknown environments. Their most cited work, “Hybrid Object Detection Vision-Based Applied on Mobile Robot Navigation” (2015), introduces a novel approach that fuses infrared distance sensing with vision-based object detection to allow robots to identify and avoid obstacles in real time. By combining low-latency sensor data with a hybrid detection algorithm, Aquino-Roblero’s system achieves robust navigation without relying on pre-mapped environments—a critical step toward truly autonomous mobile robots. This contribution, cited three times, demonstrates practical solutions to the challenge of real-time perception and decision-making for robots operating in dynamic settings. Their work is particularly relevant for applications in search-and-rescue, industrial automation, and service robotics, where adaptability and quick response are essential. Aquino-Roblero’s research continues to influence the development of efficient, sensor-fusion strategies that bridge the gap between theoretical computer vision and real-world robotic deployment.
Research Focus
Key Achievements
Top Papers
- 1Hybrid Object Detection Vision-Based Applied on Mobile Robot Navigation3 citations · 2015