Michael Jew

New Mexico Institute of Mining and Technology

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About

Michael Jew is a robotics researcher specializing in low-cost, high-performance navigation systems for autonomous outdoor robots. His core research areas include inertial navigation systems (INS), field-programmable gate array (FPGA) implementation, and sensor fusion for mobile robotics. Jew’s most significant contribution is the development of an FPGA-based aided inertial measurement unit (IMU) that enables real-time, hard-deadline computational architectures tailored to navigation requirements. His seminal 2010 paper, “Implementation of an FPGA-based aided IMU on a low-cost autonomous outdoor robot,” has garnered 12 citations, establishing foundational work in embedded navigation systems. This research addresses critical challenges in MEMS-based IMUs, such as scale-factor and bias instability, by integrating additional sensors and estimation algorithms directly onto reconfigurable hardware. Jew’s approach allows for robust, low-cost navigation solutions without sacrificing real-time performance, making autonomous outdoor robotics more accessible. His work is particularly notable for bridging the gap between theoretical INS algorithms and practical, deployable systems on resource-constrained platforms. By demonstrating that FPGAs can effectively host complex navigation filters, Jew has influenced subsequent research in embedded robotics and autonomous vehicle navigation, providing a template for balancing cost, performance, and reliability in real-world applications.