62 citations · 76 across the 10 of their papers we have counts for
11 papers · 1 filter
An Experimental Study of Wind Resistance and Power Consumption in MAVs with a Low-Speed Multi-Fan Wind System
Diana A. Olejnik, Sunyi Wang, Julien Dupeyroux +4
This paper discusses a low-cost, open-source and open-hardware design and performance evaluation of a low-speed, multi-fan wind system dedicated to micro air vehicle (MAV) testing.…
Design and implementation of a parsimonious neuromorphic PID for onboard altitude control for MAVs using neuromorphic processors
Stein Stroobants, Julien Dupeyroux, Guido de Croon
The great promises of neuromorphic sensing and processing for robotics have led researchers and engineers to investigate novel models for robust and reliable control of autonomous…
Sniffy Bug: A Fully Autonomous Swarm of Gas-Seeking Nano Quadcopters in Cluttered Environments
Bardienus P. Duisterhof, Shushuai Li, Javier Burgués +2
Nano quadcopters are ideal for gas source localization (GSL) as they are safe, agile and inexpensive. However, their extremely restricted sensors and computational resources make G…
A model-based framework for learning transparent swarm behaviors
Mario Coppola, Jian Guo, Eberhard Gill +1
This paper proposes a model-based framework to automatically and efficiently design understandable and verifiable behaviors for swarms of robots. The framework is based on the auto…
MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models
Daniël Willemsen, Mario Coppola, Guido C. H. E. de Croon
Multi-robot systems can benefit from reinforcement learning (RL) algorithms that learn behaviours in a small number of trials, a property known as sample efficiency. This research…
A toolbox for neuromorphic sensing in robotics
Julien Dupeyroux, Stein Stroobants, Guido de Croon
The third generation of artificial intelligence (AI) introduced by neuromorphic computing is revolutionizing the way robots and autonomous systems can sense the world, process the…