Lamarr Institute Researchers Win Best Paper Award at EMSOFT 2024

Award winners standing in a row
© Prof. Heiko Falk

The Lamarr Institute is pleased to announce that Prof. Dr. Jian-Jia Chen, Area Chair for Resource-aware Machine Learning, along with his co-authors Harun Teper, Daniel Kuhse, Mario Günzel, Georg von der Brüggen, and Falk Howar from Technische Universität Dortmund, has received the Best Paper Award at the 2024 International Conference on Embedded Software (EMSOFT).

Their award-winning paper, titled “Thread Carefully: Preventing Starvation in the ROS 2 Multi-Threaded Executor,” addresses a significant challenge within the Robot Operating System 2 (ROS2), a crucial framework for multi-threading in robotics. The research team identified a core issue in ROS2’s current design, where tasks could experience starvation in the multi-threaded executor, potentially leading to unresponsive or inefficient robot performance.

To tackle this problem, the paper proposes an innovative solution involving a minimal modification to ROS2’s software architecture. This change ensures both starvation-free and deadlock-free operation while maintaining high system efficiency. This development marks a major advancement in improving the reliability and performance of robotics applications in real-world scenarios.

Congratulations to Prof. Dr. Jian-Jia Chen and his team on this notable achievement. For those interested in the technical aspects, the preprint of the award-winning paper is available here.

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