Alexandros Patras

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About

Alexandros Patras is a computer engineer and systems architect whose research sits at the intersection of reconfigurable computing, robotics, and real-time embedded systems. His work focuses primarily on designing efficient hardware accelerators — particularly FPGA-based architectures — to enable Simultaneous Localization and Mapping (SLAM) on resource-constrained platforms, including humanoid robots and mobile devices. Patras has made notable contributions to the field of visual SLAM (vSLAM), addressing one of robotics' most computationally demanding challenges: enabling robots to build maps of unknown environments while simultaneously tracking their own position in real time. His most cited work, "Reconfigurable System-on-Chip Architectures for Robust Visual SLAM on Humanoid Robots" (2022, 11 citations), exemplifies his approach of bridging algorithmic robustness with hardware efficiency. His research on approximate computing for dense SLAM (2021, 10 citations) further demonstrates an innovative willingness to trade marginal precision for significant gains in speed and power consumption. A recurring theme across Patras's publications is the reconciliation of high-performance computing with low-power requirements — a critical challenge for next-generation mobile and robotic platforms. His contributions to the vipGPU project reflect this broader vision, positioning him as a promising researcher in the rapidly evolving field of embedded intelligent systems.