Max Robotics — Global Service Robot Directory + US Certification

About

Dr. Ameni Azzabi is a leading researcher in autonomous mobile robotics, with a primary focus on intelligent path planning and robust motion control. Her most impactful work addresses two critical, longstanding challenges in robot navigation: the local minimum trap and the Goal Non-Reachable with Obstacles Nearby (GNRON) problem. In her highly cited 2019 paper (100 citations), she proposed an advanced artificial potential field (APF) method that elegantly resolves these issues, enabling safer and more reliable navigation in bounded, cluttered environments. This contribution has become a key reference for researchers seeking to overcome the fundamental limitations of classical APF approaches. Dr. Azzabi also excels in control theory, notably designing a sliding mode controller with adaptive gains for nonholonomic mobile robots (32 citations). Her work compensates for strong nonlinearities and external disturbances, ensuring robust trajectory tracking. Earlier foundational work on APF-based path planning (28 citations) further established her expertise. Through these contributions, Dr. Azzabi has significantly advanced the practical deployment of autonomous robots, bridging the gap between theoretical algorithms and real-world performance.