Advances in ROS-Based Robot Simulation Technology: A Mini Review
Review Article  ·  Published: 16 September 2026
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ICCK Transactions on Intelligent Cyber-Physical Systems
Volume 1, Issue 3, 2026: 93-96
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Advances in ROS-Based Robot Simulation Technology: A Mini Review

1 School of Electromechanical Engineering, Nanjing Xiaozhuang University, Nanjing 211171, China
* Corresponding Author: Hui Zhou, [email protected]
Volume 1, Issue 3
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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.

Graphical Abstract

Advances in ROS-Based Robot Simulation Technology: A Mini Review

Keywords

ROS ROS 2 robot simulation Gazebo Sim-to-Real virtual-real integration

Data Availability Statement

Not applicable.

Funding

This work was supported without any funding.

Conflicts of Interest

The author declares no conflicts of interest.

AI Use Statement

The author declares that no generative AI was used in the preparation of this manuscript.

Ethical Approval and Consent to Participate

Not applicable.

References

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Cite This Article

APA Style
Zhou, H. (2026). Advances in ROS-Based Robot Simulation Technology: A Mini Review. ICCK Transactions on Intelligent Cyber-Physical Systems, 1(3), 93-96. https://doi.org/10.62762/TICPS.2026.304297
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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  - 
BibTeX Format
Compatible with LaTeX, BibTeX, and other reference managers
@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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