Max Robotics — Global Service Robot Directory + US Certification

About

Enxiu Shi is a pioneering researcher in mobile robotics, with a focus on autonomous navigation, obstacle avoidance, and sensor fusion for wheeled mobile robots (WMRs) and automatic guided vehicles (AGVs). Her work addresses critical challenges in robotic motion control, particularly in improving the artificial potential field (APF) method for obstacle avoidance—a key contribution that mitigates local trap and vibration issues, as demonstrated in her most-cited paper (29 citations). Shi also advanced data fusion techniques using Kalman filters to enhance position measurement accuracy in mobile robots, reducing pose errors caused by wheel-ground uncertainties. Her research on multi-step predictive control for AGV path tracking and fuzzy predictive control based on multi-sensor integration has been instrumental in developing reliable navigation systems for industrial automation. With over 58 cumulative citations across her key works, Shi’s contributions have laid foundational groundwork for robust, real-world robotic applications. Notably, her development of the composite navigation system combining gyroscopes and encoders for AGVs underscores her commitment to practical, high-precision localization in flexible manufacturing systems.