J. Javier Yebes

Papers

Total Citations

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About

J. Javier Yebes is a leading researcher in autonomous robotics and computer vision, with a focus on 3D perception for driver assistance and humanoid control systems. His most influential work, "Visual Object Recognition with 3D-Aware Features in KITTI Urban Scenes" (2015, 32 citations), advances environment perception by integrating inexpensive vision sensors to capture 3D scene appearance and depth cues—critical for autonomous navigation and safety systems. This contribution demonstrates how cost-effective imaging can rival LiDAR in urban driving scenarios. Yebes also pioneered accessible humanoid robotics through "Complete Low-Cost Implementation of a Teleoperated Control System for a Humanoid Robot" (2013, 30 citations), developing an affordable sensor suit with 8 resistive linear potentiometers to study human motion and walking. His work in the DARPA Robotics Challenge (2013) further showcases his expertise in perception and navigation under unknown environments. With over 60 combined citations, Yebes’ research bridges practical, low-cost solutions with high-impact applications in autonomous vehicles and robotics, making him a key figure in advancing real-world robotic perception and control.