Mochamad Ayuf Basthomi

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About

Mochamad Ayuf Basthomi’s research centers on the intersection of robotics, control systems, and artificial intelligence, with a specific focus on humanoid soccer robots. His major contributions lie in advancing balance and locomotion control for bipedal robots operating on challenging, uneven terrains like synthetic grass. In his most-cited work, “Walking Balance Control for Humanoid Soccer Robot on Synthetic Grass” (2020, 3 citations), he addresses the core challenge of maintaining stability during dynamic walking—a critical hurdle for RoboCup’s ambitious goal of fielding a robot team capable of defeating human players by 2050. His follow-up study, “Implementation of Balance Recovery by Slight Movement in Humanoid Robot Soccer” (2018, 3 citations), extends this work by developing recovery strategies for moderate disturbances, overcoming limitations of prior methods that only handled small perturbations. Additionally, his “Two-Steps Approach of Localization in Humanoid Robot Soccer Competition” (2021, 2 citations) improves autonomous navigation in competitive settings. Though early in his career, Basthomi’s focused work on robust bipedal stability and localization directly supports the long-term vision of autonomous, agile humanoid robots in real-world environments.