Federico Cuesta
Papers
18
Total Citations
377
H-Index
9
About
Federico Cuesta’s research lies at the intersection of mobile robotics, intelligent control, and low-cost educational technology. His most influential contributions center on nonholonomic vehicle navigation, where he pioneered fuzzy logic-based reactive control systems enhanced by virtual perception memory—a method that allows robots to generate smooth, cooperative motion behaviors without relying on complex global maps. His 2001 paper on parallel and diagonal parking for autonomous vehicles (79 citations) remains a foundational reference in the field. Cuesta also made significant strides in educational robotics with the Andruino-A1 platform, an Android- and Arduino-based mobile robot costing just 35–40 euros, which has been cited 92 times and integrated with the Robot Operating System (ROS). This work democratizes hands-on learning in intelligent control and machine learning. His broader impact is reflected in over 350 total citations, with key works on fuzzy perception, Lyapunov-based stability analysis, and RRT path planning. Cuesta’s ability to bridge theoretical control methods with practical, accessible robotics has made him a notable figure in both academic research and STEM education.
Research Focus
Key Achievements
Top Papers
- 1Andruino-A1: Low-Cost Educational Mobile Robot Based on Android and Arduino92 citations · 2015
- 2Parallel and diagonal parking in nonholonomic autonomous vehicles79 citations · 2001
- 3Intelligent Mobile Robot Navigation60 citations · 2005
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- 5Intelligent control of nonholonomic mobile robots with fuzzy perception26 citations · 2003
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- 8Fuzzy Logic Applications in Mobile Robotics14 citations · 1999
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