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About

Anan Suebsomran is a robotics and automation researcher whose work spans indoor mobile robot localization, robotic systems control, and assistive medical devices. He is best known for his pioneering contributions to Visible Light Communication (VLC)-based localization, developing innovative methods that integrate Angle of Arrival (AOA) and Received Signal Strength (RSS) techniques to accurately determine mobile robot positions in indoor environments. His 2014 paper applying the Extended Kalman Filter to VLC localization has garnered 19 citations, establishing him as a notable voice in this emerging field, while a complementary 2015 simulation study further refined these approaches with 12 citations. Beyond localization, Suebsomran has made meaningful contributions to autonomous vehicle stability, particularly through his research on bicycle robots employing flywheel-based balancing control and dynamic compensation strategies. His work has since expanded into robotic gripper design, incorporating LED and photodiode sensing for precision grasping, and more recently into compliant actuation systems for medical exoskeletons supporting human limb rehabilitation. Collectively, his publications reflect a researcher dedicated to bridging theoretical robotics with practical, real-world applications — from warehouse navigation to patient mobility assistance — making his work valuable reading for students exploring applied robotics and intelligent systems.