Ricardo de Azambuja — accepted AI-conference papers

2022

When Being Soft Makes You Tough: A Collision-Resilient Quadcopter Inspired by Arthropods' Exoskeletons

Ricardo de Azambuja, Hassan Fouad, Yann Bouteiller, Charles Sol, Giovanni Beltrame

ICRA 2022poster

Flying robots are usually rather delicate and require protective enclosures when facing the risk of collision, while high complexity and reduced payload are recurrent problems with collision-resilient flying robots. Inspired by arthropods' exoskeletons, we design a simple, open source, easily manufa…

Cited by 20 Source ↗code ↗Scholar ↗

2020

CAPRICORN: Communication Aware Place Recognition using Interpretable Constellations of Objects in Robot Networks

Benjamin Ramtoula, Ricardo de Azambuja, Giovanni Beltrame

ICRA 2020poster

Using multiple robots for exploring and mapping environments can provide improved robustness and performance, but it can be difficult to implement. In particular, limited communication bandwidth is a considerable constraint when a robot needs to determine if it has visited a location that was previo…

Cited by 6 Source ↗code ↗Scholar ↗