Max Robotics — Global Service Robot Directory + US Certification

About

Muhammad Aizat is a leading researcher in autonomous mobile robotics, with a primary focus on Automated Guided Vehicle (AGV) navigation, dynamic obstacle avoidance, and simulation-based systems. His work addresses critical challenges in enabling AGVs to operate safely and efficiently in complex, dynamic environments—a key requirement for modern industrial automation and logistics. His most-cited survey, "A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding" (2023, 55 citations), provides a foundational overview of navigation techniques, while his comprehensive review on dynamic obstacle avoidance (2023, 47 citations) systematically analyzes advances toward full autonomous capability. These works have become essential references for researchers and engineers developing next-generation AGV systems. Most recently, his 2025 study on parameter tuning in the ROS/Gazebo simulation environment (2 citations) demonstrates a practical, simulation-driven approach to optimizing navigation performance. Through his systematic reviews and applied simulation work, Aizat has established himself as a key contributor to the field, bridging theoretical navigation strategies with real-world implementation challenges.