62 citations · 76 across the 10 of their papers we have counts for
18 papers
Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots
Sabrina M. Neuman, Brian Plancher, Bardienus P. Duisterhof +8
Machine learning (ML) has become a pervasive tool across computing systems. An emerging application that stress-tests the challenges of ML system design is tiny robot learning, the…
Evolving-to-Learn Reinforcement Learning Tasks with Spiking Neural Networks
J. Lu, J. J. Hagenaars, G. C. H. E. de Croon
Inspired by the natural nervous system, synaptic plasticity rules are applied to train spiking neural networks with local information, making them suitable for online learning on n…
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…
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…