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About

Mostafa Azizi is a researcher focused on advancing autonomous navigation and teleoperation for mobile robots operating in unknown and dynamic indoor environments. His work bridges critical gaps in robotics by addressing the challenges of real-time control, mapping, and path planning when environmental models are unavailable. Azizi’s most cited paper, “Implementation of interactive control model for robots mobile teleoperation” (2012, 4 citations), proposes a novel control framework that improves operator interaction with telerobots in both structured and unstructured settings. He further contributes to simultaneous localization and mapping (SLAM) with his 2014 study on “Mobile robot unknown indoor environment exploration using self-localization and grid map building” (4 citations), which integrates sonar scanning and odometry for autonomous exploration. His 2016 work on “Online Local Path Planning for Mobile Robot Navigate in Unknown Indoor Environment” (2 citations) introduces adaptive algorithms for collision-free navigation in real time. Though his citation counts are modest, Azizi’s research provides foundational techniques for robotics applications in search-and-rescue, surveillance, and industrial automation, demonstrating a sustained commitment to solving core problems in mobile robot autonomy and human-robot interaction.