Advances in ROS-Based Robot Simulation Technology: A Mini Review
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Abstract
Robot simulation provides a repeatable and risk-controlled environment for developing increasingly integrated robotic systems. Within this field, the Robot Operating System (ROS) links robot models, sensors, controllers, and algorithms through modular communication interfaces and has formed a broad ecosystem with simulators such as Gazebo, Webots, and NVIDIA Isaac Sim. Recent progress has shifted from basic rigid-body and sensor simulation toward ROS~2-based interface unification, high-fidelity perception, GPU-accelerated synthetic-data generation, and Sim-to-Real transfer. This paper reviews these advances, discusses key developments in modeling, navigation, manipulation, and sensor simulation, and summarizes remaining challenges in fidelity, real-time performance, and virtual--real consistency.
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References
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Cite This Article
TY - JOUR AU - Zhou, Hui PY - 2026 DA - 2026/09/16 TI - Advances in ROS-Based Robot Simulation Technology: A Mini Review JO - ICCK Transactions on Intelligent Cyber-Physical Systems T2 - ICCK Transactions on Intelligent Cyber-Physical Systems JF - ICCK Transactions on Intelligent Cyber-Physical Systems VL - 1 IS - 3 SP - 93 EP - 96 DO - 10.62762/TICPS.2026.304297 UR - https://www.icck.org/article/abs/TICPS.2026.304297 KW - ROS KW - ROS 2 KW - robot simulation KW - Gazebo KW - Sim-to-Real KW - virtual-real integration AB - Robot simulation provides a repeatable and risk-controlled environment for developing increasingly integrated robotic systems. Within this field, the Robot Operating System (ROS) links robot models, sensors, controllers, and algorithms through modular communication interfaces and has formed a broad ecosystem with simulators such as Gazebo, Webots, and NVIDIA Isaac Sim. Recent progress has shifted from basic rigid-body and sensor simulation toward ROS~2-based interface unification, high-fidelity perception, GPU-accelerated synthetic-data generation, and Sim-to-Real transfer. This paper reviews these advances, discusses key developments in modeling, navigation, manipulation, and sensor simulation, and summarizes remaining challenges in fidelity, real-time performance, and virtual--real consistency. SN - 3071-2947 PB - Institute of Central Computation and Knowledge LA - English ER -
@article{Zhou2026Advances,
author = {Hui Zhou},
title = {Advances in ROS-Based Robot Simulation Technology: A Mini Review},
journal = {ICCK Transactions on Intelligent Cyber-Physical Systems},
year = {2026},
volume = {1},
number = {3},
pages = {93-96},
doi = {10.62762/TICPS.2026.304297},
url = {https://www.icck.org/article/abs/TICPS.2026.304297},
abstract = {Robot simulation provides a repeatable and risk-controlled environment for developing increasingly integrated robotic systems. Within this field, the Robot Operating System (ROS) links robot models, sensors, controllers, and algorithms through modular communication interfaces and has formed a broad ecosystem with simulators such as Gazebo, Webots, and NVIDIA Isaac Sim. Recent progress has shifted from basic rigid-body and sensor simulation toward ROS~2-based interface unification, high-fidelity perception, GPU-accelerated synthetic-data generation, and Sim-to-Real transfer. This paper reviews these advances, discusses key developments in modeling, navigation, manipulation, and sensor simulation, and summarizes remaining challenges in fidelity, real-time performance, and virtual--real consistency.},
keywords = {ROS, ROS 2, robot simulation, Gazebo, Sim-to-Real, virtual-real integration},
issn = {3071-2947},
publisher = {Institute of Central Computation and Knowledge}
}
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