Brian T. Hemmelman

South Dakota School of Mines and Technology

Papers

Total Citations

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About

Brian T. Hemmelman is a researcher whose work lies at the intersection of embedded systems, fuzzy logic, and intelligent control. His primary research areas include real-time control systems, mobile robotics, and hardware implementation of artificial intelligence. Hemmelman made significant contributions to the development of efficient, hardware-based fuzzy logic controllers, demonstrating how Field Programmable Gate Arrays (FPGAs) can be used to create compact, high-speed control systems. His most cited work, "An Embedded Real-Time Neuro-Fuzzy Controller for Mobile Robot Navigation" (2005, 27 citations), introduced a novel approach that combined RAM-based neural networks with fuzzy logic to reduce the number of rules needed for reactive navigation—a key advance for resource-constrained mobile robots. He further showcased his expertise in hardware control with his work on an inverted pendulum robot, where he implemented a Mamdani fuzzy controller on an FPGA using integer arithmetic to simplify design and improve throughput. Though his citation counts are modest, Hemmelman’s work represents a practical, hands-on approach to bridging the gap between theoretical control algorithms and real-world, embedded hardware implementation.