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About

Mohsen Shayestegan is a researcher whose work spans intelligent robotics, autonomous navigation, and biomedical signal processing. He has made notable contributions to the field of mobile robot navigation, particularly through the application of fuzzy logic and biologically inspired control strategies. His early work, including "Mobile Robot Safe Navigation in Unknown Environment" and "A Braitenberg Approach to Mobile Robot Navigation in Unknown Environments" — both published in 2012 and each accumulating 10 citations — established him as a contributor to sensor-based autonomous systems, developing controllers that enable robots to navigate safely through unstructured, obstacle-laden environments using low-range sensory data. His 2013 study further refined fuzzy logic controller design for intelligent mobile platforms, demonstrating consistent focus on collision-free autonomous movement. More recently, Shayestegan has expanded his research into healthcare technology, with his 2023 paper introducing a Triple Parallel LSTM network architecture for classifying gait disorders using Kinect camera data and robotic platforms — a meaningful bridge between robotics and clinical diagnostics. This trajectory reflects a researcher who has progressively evolved from foundational robotics toward impactful, interdisciplinary applications at the intersection of artificial intelligence, human motion analysis, and assistive technology.