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Pegasus Simulator: An Isaac Sim Framework for Multiple Aerial Vehicles Simulation

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arxiv 2307.05263 v2 pith:FTMQ3ZOW submitted 2023-07-11 cs.RO cs.SYeess.SY

classification cs.ROcs.SYeess.SY
keywords simulationframeworkvehiclesaerialalgorithmsenvironmentsimplementedisaac
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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.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. AAM-SEALS: Developing Aerial-Aquatic Manipulators in SEa, Air, and Land Simulator

    cs.RO 2024-12 conditional novelty 6.0 of 10

    A simulator integrates particle-based water, aerial flight, manipulation, and animal models to train aerial-aquatic robots across air and water.

  2. VIRTUS-FPP: Virtual Sensor Modeling for Fringe Projection Profilometry in NVIDIA Isaac Sim

    eess.IV 2025-09 conditional novelty 4.0 of 10

    VIRTUS-FPP implements a complete virtual fringe projection profilometry pipeline in NVIDIA Isaac Sim and claims sub-millimeter reconstruction plus digital-twin fidelity to a physical scanner.

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