UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-generation Framework
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Abstract (arXiv)
Underwater robotic surveys can be costly due to the complex working environment and the need for various sensor modalities. While underwater simulators are essential, many existing simulators lack sufficient rendering quality, restricting their ability to transfer algorithms from simulation to real-world applications. To address this limitation, we introduce UNav-Sim, which, to the best of our knowledge, is the first simulator to incorporate the efficient, high-detail rendering of Unreal Engine 5 (UE5). UNav-Sim is open-source and includes an autonomous vision-based navigation stack. By supporting standard robotics tools like ROS, UNav-Sim enables researchers to develop and test algorithms for underwater environments efficiently.
Key facts. Cited by 15 papers in the map (data through 13 Oct 2026). First posted on arXiv 18 Oct 2023.
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Citing papers per year: 2024: 2; 2025: 10; 2026: 3.
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- 2025A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AIcited by 16
- 2025Stonefish: Supporting Machine Learning Research in Marine Roboticscited by 11
- 2025OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Frameworkcited by 10
- 2025MarineGym: A High-Performance Reinforcement Learning Platform for Underwater Roboticscited by 6
- 2024Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challengescited by 5
- 2024MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentationcited by 3
- 2025Infinite Leagues Under the Sea: Photorealistic 3D Underwater Terrain Generation by Latent Fractal Diffusion Modelscited by 2
- 2025ASVSim (AirSim for Surface Vehicles): A High-Fidelity Simulation Framework for Autonomous Surface Vehicle Researchcited by 2
- 2025Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparisoncited by 1
- 2025EREBUS: End-to-end Robust Event Based Underwater Simulationcited by 1
- 2025Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Controlcited by 0
- 2025Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Modelscited by 0
- 2026A Unified Dynamics Framework for Reinforcement Learning and Classical Control of a Six-DOF Pipeline-Tracking ROV in NVIDIA Isaac Sim4 Oct 2026
- 2026Towards Scaling Marine Perception with Synthetic Data17 Sep 2026
- 2026UEOF: A Benchmark Dataset for Underwater Event-Based Optical Flow15 Jan 2026
- 2025EREBUS: End-to-end Robust Event Based Underwater Simulation3 Nov 2025
- 2025Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models2 Jul 2025
- 2025ASVSim (AirSim for Surface Vehicles): A High-Fidelity Simulation Framework for Autonomous Surface Vehicle Research27 Jun 2025
- 2025A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI1 May 2025
- 2025Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control28 Apr 2025
- 2025MarineGym: A High-Performance Reinforcement Learning Platform for Underwater Robotics12 Mar 2025
- 2025Infinite Leagues Under the Sea: Photorealistic 3D Underwater Terrain Generation by Latent Fractal Diffusion Models9 Mar 2025
- 2025OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework3 Mar 2025
- 2025Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparison27 Feb 2025
- 2025A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AIcited by 16
- 2025Stonefish: Supporting Machine Learning Research in Marine Roboticscited by 11
- 2025OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Frameworkcited by 10
- 2024Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challengescited by 5
- 2024MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentationcited by 3
- 2025ASVSim (AirSim for Surface Vehicles): A High-Fidelity Simulation Framework for Autonomous Surface Vehicle Researchcited by 2
- 2025Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparisoncited by 1
- 2025EREBUS: End-to-end Robust Event Based Underwater Simulationcited by 1
- 2025Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Controlcited by 0
- 2025Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Modelscited by 0
- 2026UEOF: A Benchmark Dataset for Underwater Event-Based Optical Flowcited by 0
- 2026Towards Scaling Marine Perception with Synthetic Datacited by 0
- 2026Towards Scaling Marine Perception with Synthetic Data17 Sep 2026
- 2026UEOF: A Benchmark Dataset for Underwater Event-Based Optical Flow15 Jan 2026
- 2025EREBUS: End-to-end Robust Event Based Underwater Simulation3 Nov 2025
- 2025Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models2 Jul 2025
- 2025ASVSim (AirSim for Surface Vehicles): A High-Fidelity Simulation Framework for Autonomous Surface Vehicle Research27 Jun 2025
- 2025A Survey of Robotic Navigation and Manipulation with Physics Simulators in the Era of Embodied AI1 May 2025
- 2025Modelling of Underwater Vehicles using Physics-Informed Neural Networks with Control28 Apr 2025
- 2025OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework3 Mar 2025
- 2025Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparison27 Feb 2025
- 2025Stonefish: Supporting Machine Learning Research in Marine Robotics17 Feb 2025
- 2024Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges16 Dec 2024
- 2024MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentation14 Mar 2024