Max Robotics — Global Service Robot Directory + US Certification

About

Azan Yunus is a rising researcher in the field of autonomous mobile robotics, with a focused expertise in navigation, localization, and path planning. His work addresses critical challenges in enabling robots to operate effectively in complex, unstructured, and confined environments. A key contribution is his comprehensive technical review of bio-inspired population-based optimization algorithms for mobile robot path planning, a highly cited paper that synthesizes a vast body of literature to guide future algorithm selection. In the domain of localization, Yunus has developed a novel fusion method combining the Kalman filter with a moving average filter to significantly reduce error in Ultra-Wideband (UWB) indoor positioning systems. His practical, simulation-based analysis of the Pure-pursuit algorithm’s look-ahead distance parameter provides essential tuning guidelines for nonholonomic robots navigating constrained spaces. With his most-cited works already garnering over two dozen citations, Yunus is establishing himself as a methodical contributor to the foundational technologies that will power the next generation of intelligent, autonomous mobile robots.