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Abstract
ROS (Robot Operating System) is currently one of the most popular development frameworks for robotic software, which is usually subject to hard real-time constraints in safe-critical domains. Designers must formally model and analyze its timing behaviors to guarantee that real-time constraints are always honored at run-time. This paper studies real-time scheduling and analysis under a multi-threaded executor in ROS 2. We present a formal description of the scheduling model of multi-threaded executors, and develop response time analysis techniques for processing chains executing on it. Moreover, we identify a risk of increasing the response time of chains that may be caused by improper design when deploying systems on multi-threaded executors, which provides a useful guidance to designers. We conduct experiments with both randomly generated workloads and case studies on a realistic ROS 2 platform to evaluate and demonstrate our results.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 43rd IEEE Real-Time Systems Symposium (RTSS 2022) |
| Publisher | IEEE |
| Pages | 27-39 |
| ISBN (Electronic) | 978-1-6654-5346-2 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 43rd IEEE Real-Time Systems Symposium, RTSS 2022 - Houston, United States Duration: 5 Dec 2022 → 8 Dec 2022 |
Publication series
| Name | Proceedings - Real-Time Systems Symposium |
|---|---|
| Volume | 2022-December |
| ISSN (Print) | 1052-8725 |
Conference
| Conference | 43rd IEEE Real-Time Systems Symposium, RTSS 2022 |
|---|---|
| Place | United States |
| City | Houston |
| Period | 5/12/22 → 8/12/22 |
Bibliographical note
Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).Funding
This work was partially supported by National Natural Science Foundation of China under Grant NSFC 62102072, and Hong Kong Research Grant Council (GRF 11208522 and GRF 15206221).
RGC Funding Information
- RGC-funded
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GRF: Managing Information Synchronicity in Real-Time Systems
GUAN, N. (Principal Investigator / Project Coordinator)
1/01/23 → …
Project: Research
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GRF: Building a Theoretical Foundation for Real-time ROS
GUAN, N. (Principal Investigator / Project Coordinator)
1/01/22 → 18/11/25
Project: Research