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About

Mohammad Amin Basiri is a robotics researcher whose work focuses on the intersection of deep learning, path planning, and human-robot interaction. His primary research areas include safe autonomous navigation, collision-free path generation, and social robotics. Basiri’s most impactful contribution is his 2023 paper on safe deep learning-based global path planning using a fast collision-free path generator, which has garnered 38 citations—his highest-cited work to date. This research addresses a critical challenge in unmanned vehicle operation: ensuring safe, efficient navigation in dynamic environments. He further advanced this field by synergizing deep learning with artificial potential field methods for robot path planning amidst static and dynamic obstacles (11 citations). Beyond navigation, Basiri has explored human-robot interaction through face recognition technologies, developing systems for both indoor and outdoor social robot applications, as demonstrated in his work with the Sanbot robot (4 citations). His research is particularly relevant to the growing demand for autonomous systems that can operate safely alongside humans, making him a notable contributor to the advancement of intelligent, socially-aware robotics.