72 citations · 274 across the 20 of their papers we have counts for
10 papers · 1 filter
Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp
Marina González-Álvarez, Julien Dupeyroux, Federico Corradi +1
Robotic airships offer significant advantages in terms of safety, mobility, and extended flight times. However, their highly restrictive weight constraints pose a major challenge r…
The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition
Christophe De Wagter, Federico Paredes-Vallés, Nilay Sheth +1
Robotics is the next frontier in the progress of Artificial Intelligence (AI), as the real world in which robots operate represents an enormous, complex, continuous state space wit…
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…
Self-Supervised Monocular Depth Estimation of Untextured Indoor Rotated Scenes
Benjamin Keltjens, Tom van Dijk, Guido de Croon
Self-supervised deep learning methods have leveraged stereo images for training monocular depth estimation. Although these methods show strong results on outdoor datasets such as K…
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks
Jesse Hagenaars, Federico Paredes-Vallés, Guido de Croon
The field of neuromorphic computing promises extremely low-power and low-latency sensing and processing. Challenges in transferring learning algorithms from traditional artificial…
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…
FAITH: Fast iterative half-plane focus of expansion estimation using event-based optic flow
Raoul Dinaux, Nikhil Wessendorp, Julien Dupeyroux +1
Course estimation is a key component for the development of autonomous navigation systems for robots. While state-of-the-art methods widely use visual-based algorithms, it is worth…