Max Robotics — Global Service Robot Directory + US Certification

About

Amir Mobarhani’s research focuses on autonomous mobile robot navigation, with a particular emphasis on enabling robots to operate safely and efficiently in unknown and dynamic environments. His major contributions center on developing novel navigation algorithms that allow robots to explore, map, and avoid obstacles without prior knowledge of their surroundings. His most cited work, “Histogram based frontier exploration” (2011, 44 citations), proposes a method that guides a robot toward the boundaries between known and unknown areas using a global occupancy grid, a foundational approach for autonomous exploration. He further advanced the field with the “Escaping algorithm” (2013, 10 citations) and the “Potential Ban method” (2013, 4 citations), both of which use force-field-inspired techniques for dynamic obstacle avoidance during simultaneous localization and mapping (SLAM). These methods address the critical challenge of navigating amidst moving objects, a key requirement for real-world robotics. Mobarhani’s work has been cited over 65 times, reflecting its relevance to researchers in autonomous systems. His algorithms provide practical solutions for robots operating in unpredictable settings, from service robotics to industrial automation, establishing him as a contributor to the evolution of intelligent, self-navigating machines.