open-source

At AIRO we value open-source hardware, software and datasets. This page offers a selection of interesting tools and datasets that we offer.


Datasets

Folding dataset In total, we provide 8.5 hours of demonstrations from multiple perspectives leading to 1,000 folding samples of different types of textiles. The demonstrations are recorded in multiple public places, in different conditions with a diverse set of people. Our dataset consists of anonymized RGB images, depth frames, skeleton keypoint trajectories, and object labels. The dataset is available on this GitHub repository.

  1. Video dataset of human demonstrations of folding clothing for robotic folding
    Verleysen, Andreas, Biondina, Matthijs, and wyffels, Francis
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH 2020

Hyperspectral camera dataset This dataset entails a close range hyperspectral camera dataset with high temporal resolution of strawberry with eco-physiological data of one leaf. Fully available on Zenodo.

  1. Close range hyperspectral camera dataset with high temporal resolution of strawberry with eco-physiological data of one leaf
    Pieters, Olivier, De Swaef, Tom, Lootens, Peter, Stock, Michiel, Roldàn-Ruiz, Isabel, and wyffels, Francis
    2020
  2. Limitations of snapshot hyperspectral cameras to monitor plant response dynamics in stress-free conditions
    Pieters, Olivier, De Swaef, Tom, Lootens, Peter, Stock, Michiel, Roldàn-Ruiz, Isabel, and wyffels, Francis
    COMPUTERS AND ELECTRONICS IN AGRICULTURE 2020

Software

Pytorch-Hebbian A lightweight framework for Hebbian learning based on PyTorch Ignite. Can be found on GitHub. Presented at the Beyond Backpropagation NeurIPS 2020 worskhop.

  1. PyTorch-Hebbian : facilitating local learning in a deep learning framework
    Talloen, Jules, Vandesompele, Alexander, and Dambre, Joni
    In Beyond backpropagation : novel ideas for training neural architectures : workshop at NeurIPS, Abstracts 2020

Hardware

Gloxinia is a new modular data logging platform, optimised for real-time physiological measurements. The system is composed is modular sensor boards that are interconnected depending upon the needs, with the potential to scale to hundreds of sensors in a distributed sensor system. Two different types of sensor boards were designed: one for single-ended measurements and one for lock-in amplifier based measurements, named Sylvatica and Planalta respectively. Both hardware and software have been open-sourced on GitHub.

  1. Gloxinia—an open-source sensing platform to monitor the dynamic responses of plants
    Pieters, Olivier, De Swaef, Tom, Lootens, Peter, Stock, Michiel, Roldàn-Ruiz, Isabel, and wyffels, Francis
    SENSORS 2020

MIRRA is a modular and cost-effective microclimate monitoring system for real-time remote applications that require low data rates. MIRRA is modular, enabling the use of different sensors (e.g., air and soil temperature, soil moisture and radiation) depending upon the application, and uses an innovative node system highly suitable for remote locations. The entire system is open source and can be constructed and programmed from the design and code files, hosted on GitHub

  1. MIRRA : a modular and cost-effective microclimate monitoring system for real-time remote applications
    Pieters, Olivier, Deprost, Emiel, Van Der Donckt, Jonas, Brosens, Lore, Sanczuk, Pieter, Vangansbeke, Pieter, De Swaef, Tom, De Frenne, Pieter, and wyffels, Francis
    SENSORS 2021