  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.
