Mohammad Hossein Bamorovat Abadi

Qazvin Islamic Azad University, Islamic Azad University, Tehran

Papers

Total Citations

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About

Mohammad Hossein Bamorovat Abadi is a robotics and computer vision researcher whose work focuses on autonomous navigation and human activity recognition. His primary contributions lie in developing novel sonar vision algorithms for mobile robot navigation, particularly using omnidirectional vision systems. His most cited work, "Mobile robot navigation using sonar vision algorithm applied to omnidirectional vision" (2015, 9 citations), introduced a calibration-free method for detecting static and dynamic obstacles in unknown environments, enabling autonomous path planning. He further refined this approach with "Side sonar vision applied to Omni-directional images to navigate mobile robots" (2017, 3 citations), which segmented the robot’s perceptual field into front, right, and left sides for more efficient navigation. Abadi also investigated the impact of mirror distortions on omnidirectional vision-based navigation (2015, 3 citations). More recently, he contributed to the "Robot House Human Activity Recognition Dataset" (2021, 2 citations), addressing the critical need for large, labeled datasets in deep learning-based activity recognition. His work bridges classical robotics navigation with modern computer vision challenges, offering practical solutions for autonomous systems operating in complex, dynamic environments.