TY - GEN
T1 - Space-Robot Operating System Performance Evaluations
AU - Manikant, Gautam Kumar
AU - Wang, Gongwei
AU - Zhao, Heng
AU - Kim, Jei
AU - Fu, Zhongchuan
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - In this paper, an integrated performance analysis method for Space-ROS is presented through the integration of the Chain Aware ROS2 Performance Evaluation Tool (CARET). The objective is high observability and reliability for ROS2based robotics systems in space missions. With this integration, comprehensive performance metrics-such as resource usage, responsiveness of nodes, and various kinds of latency-are collected in a systematic manner. Certain latency metrics, such as callback latency, communication latency, node-level latency, and end-to-end latency, are recorded to obtain fine-grained information regarding the timing behavior of ROS nodes. CARET has been incorporated into the Space-ROS framework with extended capability to facilitate space-based test scenarios. It enables precise monitoring of performance between nodes and identification of critical bottlenecks in demo applications and core algorithms. Experimental results show that CARET effectively uncovers hidden latency issues and enables performance tuning, and as a result, is an effective tool for ensuring real-time performance in mission-critical space robotics systems.
AB - In this paper, an integrated performance analysis method for Space-ROS is presented through the integration of the Chain Aware ROS2 Performance Evaluation Tool (CARET). The objective is high observability and reliability for ROS2based robotics systems in space missions. With this integration, comprehensive performance metrics-such as resource usage, responsiveness of nodes, and various kinds of latency-are collected in a systematic manner. Certain latency metrics, such as callback latency, communication latency, node-level latency, and end-to-end latency, are recorded to obtain fine-grained information regarding the timing behavior of ROS nodes. CARET has been incorporated into the Space-ROS framework with extended capability to facilitate space-based test scenarios. It enables precise monitoring of performance between nodes and identification of critical bottlenecks in demo applications and core algorithms. Experimental results show that CARET effectively uncovers hidden latency issues and enables performance tuning, and as a result, is an effective tool for ensuring real-time performance in mission-critical space robotics systems.
KW - CARET
KW - Space-ROS
KW - performance evaluation
KW - space robotics
UR - https://www.scopus.com/pages/publications/105018738658
U2 - 10.1109/ICICR65456.2025.00185
DO - 10.1109/ICICR65456.2025.00185
M3 - 会议稿件
AN - SCOPUS:105018738658
T3 - Proceedings - 2025 2nd International Conference on Intelligent Computing and Robotics, ICICR 2025
SP - 1049
EP - 1052
BT - Proceedings - 2025 2nd International Conference on Intelligent Computing and Robotics, ICICR 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Intelligent Computing and Robotics, ICICR 2025
Y2 - 16 May 2025 through 18 May 2025
ER -