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About

Vlad Niculescu is a dynamic researcher at the forefront of autonomous robotics, specializing in ultra-low-power embedded systems, nano-drone autonomy, and edge AI deployment. His work tackles one of robotics' most compelling challenges: enabling sophisticated intelligence on severely resource-constrained platforms, particularly sub-10cm unmanned aerial vehicles (UAVs) weighing mere tens of grams. Niculescu's most significant contributions center on pushing the boundaries of what miniaturized drones can achieve independently. His highly cited work on automated end-to-end DNN optimization (31 citations) and the Tiny-PULP-Dronets framework (24 citations) demonstrates how neural networks can be aggressively compressed without sacrificing navigational performance. Equally notable is NanoSLAM (26 citations), which pioneered fully onboard simultaneous localization and mapping for tiny robots — a remarkable feat given their extreme computational constraints. Beyond aerial robotics, Niculescu has extended his embedded intelligence expertise to prosthetic and robotic tactile sensing systems, reflecting a broader commitment to human-centered robotics. His exploration of multimodal sensor fusion, UAV-based sensor node localization, and nano-drone swarm coordination further demonstrates his versatility. With over 155 cumulative citations across just a few years of publishing, Niculescu is establishing himself as a leading voice in the rapidly growing field of autonomous nano-robotics and edge-deployed artificial intelligence.