Advancing The Robotics Software Development Experience: Bridging Julia's Performance and Python's Ecosystem
Robotics
2024-06-07 v1
Abstract
Robotics programming typically involves a trade-off between the ease of use offered by Python and the run-time performance of C++. While multi-language architectures address this trade-off by coupling Python's ergonomics with C++'s speed, they introduce complexity at the language interface. This paper proposes using Julia for performance-critical tasks within Python ROS 2 applications, providing an elegant solution that streamlines the development process without disrupting the existing Python workflow.
Cite
@article{arxiv.2406.03677,
title = {Advancing The Robotics Software Development Experience: Bridging Julia's Performance and Python's Ecosystem},
author = {Gustavo Nunes Goretkin and Joseph Carpinelli and Andy Park},
journal= {arXiv preprint arXiv:2406.03677},
year = {2024}
}