Juan Medrano
Papers
4
Total Citations
41
H-Index
3
About
Juan Medrano is a robotics researcher specializing in autonomous navigation, terrain perception, and robotic manipulation for logistics and industrial applications. His work focuses on enabling mobile robots to operate reliably in unstructured environments. In his highly cited 2022 paper, "Climbing control of autonomous mobile robot with estimation of wheel slip and wheel-ground contact angle" (29 citations), he developed a novel control strategy that estimates wheel slip and contact angle to improve climbing stability on uneven terrain. Medrano further advanced terrain recognition by using laser scanners to measure wheel-ground contact angles, allowing six-wheeled robots to adapt to local surface geometry—critical for autonomous delivery services. In logistics, he contributed a vision system for robotic box handling that accurately segments and estimates box position and size, enabling safe and efficient manipulation. His 2023 work on wire harness connector mating explores dual-arm co-manipulation using maximum manipulability, addressing precision assembly tasks in manufacturing. By integrating perception, control, and manipulation, Medrano’s research directly supports the deployment of intelligent robots in real-world, dynamic environments.
Research Focus
Key Achievements
Top Papers
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