A simulator integrates particle-based water, aerial flight, manipulation, and animal models to train aerial-aquatic robots across air and water.
Pegasus Simulator: An Isaac Sim Framework for Multiple Aerial Vehicles Simulation
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abstract
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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AAM-SEALS: Developing Aerial-Aquatic Manipulators in SEa, Air, and Land Simulator
A simulator integrates particle-based water, aerial flight, manipulation, and animal models to train aerial-aquatic robots across air and water.