Dario I. Rosas-Miranda
Papers
1
Total Citations
2
H-Index
1
About
Dario I. Rosas-Miranda is a researcher whose work sits at the intersection of robotics, computer vision, and autonomous systems. His primary research focus is on developing robust perception systems for mobile robots operating in unstructured, outdoor environments. His most cited work, "Automatic detection and classification of obstacles with applications in autonomous mobile robots" (2016), introduces a novel hardware implementation that leverages stereo vision algorithms to detect and classify obstacles in real time. In this study, Rosas-Miranda proposed and evaluated a new method specifically designed to handle the challenging lighting and terrain conditions found outdoors—a critical step forward for autonomous navigation. While his citation count is modest, the work represents a foundational contribution to practical, field-deployable robotics, demonstrating how embedded systems can bring advanced computer vision to mobile platforms. His research is particularly relevant for students and engineers interested in the hardware-software co-design of autonomous vehicles, offering a clear example of how theoretical algorithms are translated into working, real-world solutions for obstacle avoidance.
Research Focus
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Top Papers
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