Advancing The Robotics Software Development Experience: Bridging Julia's Performance and Python's Ecosystem

TL;DR

This paper proposes integrating Julia into Python ROS 2 robotics applications to combine Julia's performance with Python's ease of use, simplifying development without sacrificing efficiency.

Contribution

It introduces a novel approach to embed Julia in Python ROS 2 workflows, bridging the gap between performance and usability in robotics software development.

Findings

Julia can be effectively integrated into Python ROS 2 applications.

The approach maintains Python workflow while enhancing performance.

Streamlined development process for robotics software using Julia-Python integration.

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.