Frank Hu

Papers

Total Citations

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About

Frank Hu is a leading researcher in the field of optical microelectromechanical systems (MEMS), with a primary focus on LiDAR architectures and their integration into robotics and autonomous systems. His most cited work, "Comparison of MEMS mirror LiDAR architectures" (2020, 25 citations), provides a critical analysis of beam-steering technologies, establishing MEMS mirrors as the key enabler for compact, low-cost, and dynamic scanning in applications ranging from autonomous mobile robots to drones and vehicles. Hu’s research directly addresses the demands of Industry 4.0 and the Transportation Revolution, demonstrating how optical MEMS can improve efficiency, safety, and operational flexibility. In his 2022 paper "Optical MEMS enable next generation solutions for robot vision and human-robot interaction" (6 citations), he further explores the role of these systems in enhancing robot perception and human-robot collaboration. By bridging the gap between advanced optical components and real-world autonomous applications, Hu’s work has laid a foundational framework for next-generation sensing solutions, making him a pivotal figure in the evolution of smart, autonomous systems.