Empirical Inference

The o80 C++ templated toolbox: Designing customized Python APIs for synchronizing realtime processes

2021

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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.

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
Department(s): Empirical Inference, Movement Generation and Control, Software Workshop
Bibtex Type: Article (article)
Paper Type: Journal
Article Number: 2752
Digital: True
DOI: 10.21105/joss.02752
State: Published
URL: https://joss.theoj.org/papers/10.21105/joss.02752

BibTex 

@article{o80,
  title = {The o80 C++ templated toolbox: Designing customized Python APIs for synchronizing realtime processes},
  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},
  journal = {Journal of Open Source Software},
  volume = {6},
  number = {66},
  month = oct,
  year = {2021},
  doi = {10.21105/joss.02752},
  url = {https://joss.theoj.org/papers/10.21105/joss.02752},
  month_numeric = {10}
}