Impact of ROS 2 Node Composition in Robotic Systems
Not on the map. Why?
Abstract (arXiv)
The Robot Operating System 2 (ROS 2) is the second generation of ROS representing a step forward in the robotic framework. Several new types of nodes and executor models are integral to control where, how, and when information is processed in the computational graph. This paper explores and benchmarks one of these new node types -- the Component node -- which allows nodes to be composed manually or dynamically into processes while retaining separation of concerns in a codebase for distributed development. Composition is shown to achieve a high degree of performance optimization, particularly valuable for resource-constrained systems and sensor processing pipelines, enabling distributed tasks that would not be otherwise possible in ROS 2. In this work, we briefly introduce the significance and design of node composition, then our contribution of benchmarking is provided to analyze its impact on robotic systems. Its compelling influence on performance is shown through several experiments on the latest Long Term Support (LTS) ROS 2 distribution, Humble Hawksbill.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 May 2023.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2024: 3; 2025: 2; 2026: 2.
7 papers.
- 2024InCoRo: In-Context Learning for Robotics Control with Feedback Loopscited by 9
- 2024HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night Scenecited by 6
- 2025RAI: Flexible Agent Framework for Embodied AIcited by 5
- 2025Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robotscited by 5
- 2024JEMA: A Joint Embedding Framework for Scalable Co-Learning with Multimodal Alignmentcited by 0
- 2026Bridging the Sim-to-Real Gap with multipanda_ros2: A Real-Time ROS2 Framework for Multimanual Systemscited by 0
- 2026Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systemscited by 0
- 2026Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems3 Jul 2026
- 2026Bridging the Sim-to-Real Gap with multipanda_ros2: A Real-Time ROS2 Framework for Multimanual Systems2 Feb 2026
- 2025Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robots27 Jul 2025
- 2025RAI: Flexible Agent Framework for Embodied AI12 May 2025
- 2024JEMA: A Joint Embedding Framework for Scalable Co-Learning with Multimodal Alignment31 Oct 2024
- 2024HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night Scene6 Apr 2024
- 2024InCoRo: In-Context Learning for Robotics Control with Feedback Loops7 Feb 2024