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About

Sy-Hung Bach is a leading researcher in autonomous mobile robotics, with a primary focus on high-precision localization and navigation systems. His work addresses the critical challenge of enabling robots to operate reliably in indoor and industrial environments. Bach’s major contributions include the development of the Global UWB System (GUS), a tightly coupled ultra-wideband localization framework that achieves exceptional accuracy for autonomous mobile robots (AMRs) in smart factories and IoT applications. He has also pioneered the practical use of QR codes for correcting dead-reckoning errors in indoor robot navigation, and advanced range-only simultaneous localization and mapping (RO-SLAM) using trilateration UWB tags. With his most cited paper garnering 35 citations and his 2024 GUS paper receiving 22 citations, Bach’s work is gaining significant traction in the robotics community. His research extends to human-following robots and cable-driven parallel robots on 3D curved surfaces, showcasing a versatile approach to real-world robotic autonomy. Bach’s innovations are directly shaping the future of intelligent, self-navigating systems in complex environments.