Empirical Inference
Software Workshop
Movement Generation and Control
Article
2021
The o80 C++ templated toolbox: Designing customized Python APIs for synchronizing realtime processes
o80 (pronounced "oh-eighty") is software for synchronizing and organizing message exchange between (realtime) processes via simple customized Python APIs. Its target domain is robotics and machine learning. Our motivation for developing o80 is to ease the setup of robotics experiments (i.e., integration of various hardware and software) by machine learning scientists. Such setup typically requires time and technical effort, especially when realtime processes are involved. Ideally, scientists should have access to a simple Python API that hides the lower level communication details and simply allows the sending of actions and receiving of observations. o80 is a tool box for creating such API.
Empirical Inference, IT Services
Empirical Inference
Empirical Inference
Empirical Inference
| Author(s): | Vincent Berenz and Maximilien Naveau and Felix Widmaier and Manuel Wüthrich and Jean-Claude Passy and Simon Guist and Dieter Büchler |
| Journal: | Journal of Open Source Software |
| Volume: | 6 |
| Number (issue): | 66 |
| Year: | 2021 |
| Month: | October |
| BibTeX Type: | Article (article) |
| DOI: | 10.21105/joss.02752 |
| State: | Published |
| URL: | https://joss.theoj.org/papers/10.21105/joss.02752 |
| Article Number: | 2752 |
| Digital: | True |
| Electronic Archiving: | grant_archive |
BibTeX
@article{o80,
title = {The o80 C++ templated toolbox: Designing customized Python APIs for synchronizing realtime processes},
journal = {Journal of Open Source Software},
abstract = {o80 (pronounced "oh-eighty") is software for synchronizing and organizing message exchange between (realtime) processes via simple customized Python APIs. Its target domain is robotics and machine learning. Our motivation for developing o80 is to ease the setup of robotics experiments (i.e., integration of various hardware and software) by machine learning scientists. Such setup typically requires time and technical effort, especially when realtime processes are involved. Ideally, scientists should have access to a simple Python API that hides the lower level communication details and simply allows the sending of actions and receiving of observations. o80 is a tool box for creating such API.},
volume = {6},
number = {66},
month = oct,
year = {2021},
author = {Berenz, Vincent and Naveau, Maximilien and Widmaier, Felix and W{\"u}thrich, Manuel and Passy, Jean-Claude and Guist, Simon and B{\"u}chler, Dieter},
doi = {10.21105/joss.02752},
url = {https://joss.theoj.org/papers/10.21105/joss.02752},
month_numeric = {10}
}