Maria Rafaela Gkeka

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About

Maria Rafaela Gkeka is a leading researcher at the intersection of robotics, reconfigurable computing, and real-time perception, with a primary focus on accelerating Simultaneous Localization and Mapping (SLAM) for humanoid robots. Her work addresses the critical challenge of implementing robust, real-time visual SLAM (vSLAM) on resource-constrained platforms, where computational speed and accuracy directly impact a robot’s ability to navigate dynamic environments. Gkeka’s major contributions include pioneering FPGA-based architectures that enable approximate dense SLAM computing and reconfigurable System-on-Chip designs for humanoid platforms, achieving significant performance gains while maintaining power efficiency. Her 2022 paper on reconfigurable SoC architectures for robust vSLAM has garnered 11 citations, reflecting its influence in the field, while her 2021 work on FPGA architectures for approximate dense SLAM has been cited 10 times. These contributions are notable for bridging the gap between high-performance computing and the stringent real-time demands of humanoid robotics, offering scalable solutions that advance autonomous navigation and augmented reality applications. Gkeka’s research continues to shape the future of embedded vision systems.