Pegasus Simulator: An Isaac Sim Framework for Multiple Aerial Vehicles Simulation
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Abstract (arXiv)
Developing and testing novel control and motion planning algorithms for aerial vehicles can be a challenging task, with the robotics community relying more than ever on 3D simulation technologies to evaluate the performance of new algorithms in a variety of conditions and environments. In this work, we introduce the Pegasus Simulator, a modular framework implemented as an NVIDIA Isaac Sim extension that enables real-time simulation of multiple multirotor vehicles in photo-realistic environments, while providing out-of-the-box integration with the widely adopted PX4-Autopilot and ROS2 through its modular implementation and intuitive graphical user interface. To demonstrate some of its capabilities, a nonlinear controller was implemented and simulation results for two drones performing aggressive flight maneuvers are presented. Code and documentation for this framework are also provided as supplementary material.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Jul 2023.
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Citing papers per year: 2024: 2; 2025: 3; 2026: 2.
7 papers.
- 2024SOUS VIDE: Cooking Visual Drone Navigation Policies in a Gaussian Splatting Vacuumcited by 13
- 2024Articulate3D: Holistic Understanding of 3D Scenes as Universal Scene Descriptioncited by 9
- 2025AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observabilitycited by 6
- 2025VIRTUS-FPP: Virtual Sensor Modeling for Fringe Projection Profilometry in NVIDIA Isaac Simcited by 2
- 2025Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoidcited by 1
- 2026Don't Fool Me Twice: Adapting to Adversity in the Wild with Experience-Driven Reasoningcited by 0
- 2026Guided Diffusion with Distilled Vision-Language Reliability for Aerial Navigationcited by 0
- 2026Guided Diffusion with Distilled Vision-Language Reliability for Aerial Navigation11 Jun 2026
- 2026Don't Fool Me Twice: Adapting to Adversity in the Wild with Experience-Driven Reasoning29 May 2026
- 2025VIRTUS-FPP: Virtual Sensor Modeling for Fringe Projection Profilometry in NVIDIA Isaac Sim18 Sep 2025
- 2025Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid6 May 2025
- 2025AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability26 Jan 2025
- 2024SOUS VIDE: Cooking Visual Drone Navigation Policies in a Gaussian Splatting Vacuum20 Dec 2024
- 2024Articulate3D: Holistic Understanding of 3D Scenes as Universal Scene Description2 Dec 2024