Christos D. Antonopoulos

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About

Christos D. Antonopoulos is a computer engineer and systems architect whose research sits at the compelling intersection of reconfigurable hardware, robotics, and real-time computing. His work focuses primarily on designing efficient FPGA-based architectures for Simultaneous Localization and Mapping (SLAM), with particular emphasis on enabling autonomous robots and augmented reality systems to operate with both high performance and low power consumption. Antonopoulos has made meaningful contributions to the challenge of implementing visual SLAM on resource-constrained platforms, demonstrating how Field-Programmable Gate Arrays can accelerate these computationally demanding workloads. His 2022 work on reconfigurable System-on-Chip architectures for humanoid robots — his most cited contribution with 11 citations — tackles the especially difficult problem of robust vSLAM in dynamic, human-like robotic systems. Complementary work from 2021 on approximate dense SLAM computing (10 citations) explores how approximation techniques can be leveraged in hardware design without sacrificing meaningful accuracy. His research addresses a core tension in modern mobile computing: reconciling the real-time performance demands of navigation and spatial awareness with strict energy budgets. Through projects such as vipGPU, Antonopoulos contributes to building the hardware and software foundations that will power next-generation autonomous systems and immersive technologies.