Space-Robot Operating System Performance Evaluations

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.

Institutions

Publication Details

Published
2025-05-16
DOI
https://doi.org/10.1109/icicr65456.2025.00185
Primary Topic
Diverse Scientific and Economic Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Space-Robot Operating System Performance Evaluations

Diverse Scientific and Economic Studies
article

Space-Robot Operating System Performance Evaluations

article en

Abstract

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.

Harbin Institute of Technology (CN), Harbin Electric Corporation (China) (CN), Heilongjiang Institute of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 33%
Diverse Scientific and Economic Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Space-Robot Operating System Performance Evaluations · (2025) | TGRS Research Map | TGRS