185 citations · 452 across the 18 of their papers we have counts for
5 papers · 1 filter
Fly, Track, Land: Infrastructure-less Magnetic Localization for Heterogeneous UAV-UGV Teaming
Valerio Brunacci, Davide Plozza, Alessio De Angelis +2
Persistent air ground robot teams require nano UAVs that can leave a mobile UGV, perform short scouting or inspection tasks, and reliably return to a compact landing interface. Thi…
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…
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…
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…
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…