Max Robotics — Global Service Robot Directory + US Certification

About

Antonio Concha is a researcher dedicated to democratizing robotics and control systems through open-source, low-cost solutions. His primary research areas include educational robotics, open-hardware architecture, and energy-efficient trajectory planning. Concha’s major contribution is his pioneering work in recycling and upgrading obsolete educational robot manipulators, as demonstrated in his most-cited paper (2020, 9 citations), where he equipped a 4-DOF robot with artificial vision using affordable, open-source hardware. This work directly addresses the high cost of robotics education, making advanced experimentation accessible to more students. He has also advanced mobile robotics by designing custom controllers for DC brushless motors that enable precise position and velocity control (2006, 5 citations), overcoming the limitations of expensive commercial alternatives. More recently, Concha has explored optimizing robot pathways for energy efficiency using Dijkstra and A* algorithms (2024, 2 citations), and developed UYAMAK (2025, 2 citations), an innovative open-source web platform for model-based design and simulation. His consistent focus on accessibility and practical implementation makes his work highly valuable for educators and researchers seeking to bridge the gap between theory and affordable, real-world robotics.