日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2307.05263

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

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

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著者: Marcelo Jacinto, João Pinto, Jay Patrikar, John Keller, Rita Cunha, Sebastian Scherer, António Pascoal

分類: cs.RO, cs.SY, eess.SY

原文アブストラクト

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.