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Advancing humanoid robotics with Rust: An open framework for runtime efficiency
Publikationstyp
Conference Paper
Date Issued
2025-07
Sprache
English
Author(s)
HULKs, Team
Sieck, Hendrik
Felber, Ole
Nölle, Konrad Valentin
Scheuch, Luis
First published in
Number in series
15570 LNAI
Start Page
396
End Page
408
Citation
27th RoboCup International Symposium, 2024
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Springer
ISBN
978-3-031-85859-8
978-3-031-85858-1
978-3-031-85860-4
The development of software frameworks plays a pivotal role in the research on humanoid robotics. This paper introduces a novel robotics framework designed to address challenges in the RoboCup and robotics in general. We present an overview of existing frameworks within the RoboCup Standard Platform League (SPL), highlighting their benefits and limitations. We define a set of requirements that serve as a guiding principle for the development of robotic frameworks. Our novel framework emphasizes modularity and parallelization while optimizing for minimal runtime overhead and complexity. Implemented in Rust, we combine computational efficiency with safety, positioning it as a robust solution for robotic applications. We show that the framework’s runtime overhead on a NAO robot has little impact. We conclude with case studies of its application at Team HULKs and other teams, showing its real world use case and impact in the RoboCup SPL.
Subjects
Framework | Middleware | RoboCup | Rust
DDC Class
600: Technology