F.J.K. Lara Leyva

Papers

Total Citations

H-Index

About

F.J.K. Lara Leyva is a robotics researcher whose work centers on humanoid robot design, locomotion, and autonomous perception, with a particular focus on applications in competitive robotic soccer. His most cited paper, “Monocular visual self-localization for humanoid soccer robots” (2011, 7 citations), presents a method for a humanoid robot to determine its position and orientation on a playing field using only a single camera. This contribution addresses a core challenge in autonomous robotics—localization without costly or bulky sensors—enabling more agile and cost-effective platforms. In related work, “Mechanical design and kinematic analysis of the AH1N1 humanoid robot” (2011, 3 citations), Lara Leyva details the construction and motion analysis of a robot built to compete in the RoboCup Kid-Size league, adhering to strict size and structural regulations. His research integrates mechanical engineering with computer vision, advancing the capabilities of humanoid robots in dynamic, real-world environments. Though his citation counts are modest, his work contributes to foundational challenges in humanoid robotics and autonomous navigation.