Nikolaos Tavoularis

Foundation for Research and Technology Hellas, FORTH Institute of Electronic Structure and Laser

Papers

Total Citations

H-Index

About

Nikolaos Tavoularis is a researcher at the forefront of embedded systems and robotics, specializing in the intersection of reconfigurable hardware and autonomous navigation. His primary research focuses on developing high-performance, low-power architectures for Visual Simultaneous Localization and Mapping (vSLAM) on humanoid robots. Tavoularis’s major contribution lies in demonstrating how FPGA-based accelerators and reconfigurable System-on-Chip (SoC) designs can overcome the unique computational challenges of humanoid robotics—where real-time mapping and pose estimation must coexist with strict power constraints. His most influential work, "Reconfigurable System-on-Chip Architectures for Robust Visual SLAM on Humanoid Robots" (2022), has garnered 11 citations, establishing a foundation for robust, hardware-accelerated perception. This research is part of the broader vipGPU project, which aims to reconcile the conflicting demands of high performance and energy efficiency for next-generation mobile platforms. By pioneering novel architectures that offload intensive vSLAM calculations to FPGAs, Tavoularis is enabling more agile, perceptive, and autonomous humanoid robots, directly impacting the future of augmented reality and field robotics.