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20212026
most citedImproving Autonomous Nano-drones Performance via Automated End-to-End Optimization and Deployment of DNNs

31 citations · 91 across the 10 of their papers we have counts for

collaborators

10 papers

eess.IV2026★ 31 cited

Improving Autonomous Nano-drones Performance via Automated End-to-End Optimization and Deployment of DNNs

Vlad Niculescu, Lorenzo Lamberti, Francesco Conti +2

The evolution of energy-efficient ultra-low-power (ULP) parallel processors and the diffusion of convolutional neural networks (CNNs) are fueling the advent of autonomous driving n…

cs.RO2024★ 1 cited

Ultra-Lightweight Collaborative Mapping for Robot Swarms

Vlad Niculescu, Tommaso Polonelli, Michele Magno +1

A key requirement in robotics is the ability to simultaneously self-localize and map a previously unknown environment, relying primarily on onboard sensing and computation. Achievi…

cs.RO2024

Tiny-PULP-Dronets: Squeezing Neural Networks for Faster and Lighter Inference on Multi-Tasking Autonomous Nano-Drones

Lorenzo Lamberti, Vlad Niculescu, Michał Barcis +4

Pocket-sized autonomous nano-drones can revolutionize many robotic use cases, such as visual inspection in narrow, constrained spaces, and ensure safer human-robot interaction due…

cs.RO2023

Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration

Mahyar Pourjabar, Manuele Rusci, Luca Bompani +4

This work presents a multi-sensory anti-collision system design to achieve robust autonomous exploration capabilities for a swarm of 10 cm-side nano-drones operating on object dete…

cs.RO2023★ 29 cited

NanoSLAM: Enabling Fully Onboard SLAM for Tiny Robots

Vlad Niculescu, Tommaso Polonelli, Michele Magno +1

Perceiving and mapping the surroundings are essential for enabling autonomous navigation in any robotic platform. The algorithm class that enables accurate mapping while correcting…

cs.RO2023★ 26 cited

Fully Onboard SLAM for Distributed Mapping with a Swarm of Nano-Drones

Carl Friess, Vlad Niculescu, Tommaso Polonelli +2

The use of Unmanned Aerial Vehicles (UAVs) is rapidly increasing in applications ranging from surveillance and first-aid missions to industrial automation involving cooperation wit…

cs.RO2023

Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization

Mahyar Pourjabar, Ahmed AlKatheeri, Manuele Rusci +5

Relative localization is a crucial functional block of any robotic swarm. We address it in a fleet of nano-drones characterized by a 10 cm-scale form factor, which makes them highl…

cs.RO2022★ 4 cited

Robust and Efficient Depth-based Obstacle Avoidance for Autonomous Miniaturized UAVs

Hanna Müller, Vlad Niculescu, Tommaso Polonelli +2

Nano-size drones hold enormous potential to explore unknown and complex environments. Their small size makes them agile and safe for operation close to humans and allows them to na…

cs.RO2022

Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications

Xiaying Wang, Fabian Geiger, Vlad Niculescu +2

Tactile sensing is a crucial perception mode for robots and human amputees in need of controlling a prosthetic device. Today robotic and prosthetic systems are still missing the im…

cs.RO2021

SmartHand: Towards Embedded Smart Hands for Prosthetic and Robotic Applications

Xiaying Wang, Fabian Geiger, Vlad Niculescu +2

The sophisticated sense of touch of the human hand significantly contributes to our ability to safely, efficiently, and dexterously manipulate arbitrary objects in our environment.…