Advancing The Robotics Software Development Experience: Bridging Julia's Performance and Python's Ecosystem
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866911907933323264 |
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| author | Goretkin, Gustavo Nunes Carpinelli, Joseph Park, Andy |
| author_facet | Goretkin, Gustavo Nunes Carpinelli, Joseph Park, Andy |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_03677 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Advancing The Robotics Software Development Experience: Bridging Julia's Performance and Python's Ecosystem Goretkin, Gustavo Nunes Carpinelli, Joseph Park, Andy Robotics 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. |
| title | Advancing The Robotics Software Development Experience: Bridging Julia's Performance and Python's Ecosystem |
| topic | Robotics |
| url | https://arxiv.org/abs/2406.03677 |