Carlos Y. Villalpando

California Institute of Technology, Jet Propulsion Laboratory

Papers

Total Citations

220

H-Index

About

Carlos Y. Villalpando is a pioneering researcher at the intersection of computer vision, embedded systems, and autonomous navigation for space and robotic applications. Best known for his landmark 2007 paper "Computer Vision on Mars," which has accumulated an impressive 185 citations, Villalpando has played a central role in advancing the practical deployment of vision-based systems in extreme, resource-constrained environments. His research consistently addresses a critical challenge in robotics and aerospace: how to implement computationally intensive vision algorithms on hardware platforms with strict power and weight limitations. His 2011 work on FPGA-based stereo disparity processing demonstrated a viable path for enabling unmanned robotic systems to navigate safely through unstructured terrain by offloading intensive computation from embedded CPUs to reconfigurable hardware. This theme of leveraging FPGAs for machine vision — explored further in his 2010 paper on reconfigurable systems — highlights his dedication to practical, deployable solutions. More recently, Villalpando contributed to spacecraft safety through his evaluation of hazard detection algorithms for autonomous landing systems, addressing real risks posed by rocks, craters, and slopes during descent. Across his career, his work has meaningfully shaped how autonomous systems perceive and interact with challenging, uncharted environments.