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

07/11/2023
by   Marcelo Jacinto, et al.
0

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.

READ FULL TEXT

page 1

page 4

page 5

research
05/15/2017

AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles

Developing and testing algorithms for autonomous vehicles in real world ...
research
10/14/2021

A Novel Traffic Simulation Framework for Testing Autonomous Vehicles Using SUMO and CARLA

Traffic simulation is an efficient and cost-effective way to test Autono...
research
01/19/2019

Neuroflight: Next Generation Flight Control Firmware

Little innovation has been made to low-level attitude flight control use...
research
03/01/2022

Render-in-the-loop aerial robotics simulator: Case Study on Yield Estimation in Indoor Agriculture

Inspired by recent promising results in sim-to-real transfer in deep lea...
research
11/23/2022

Development of a Mobile Vehicle Manipulator Simulator for the Validation of Shared Control Concepts

This paper presents the development of a real-time simulator for the val...
research
03/19/2021

Simulation Platform for Autonomous Aerial Manipulation in Dynamic Environments

The aerial manipulator (AM) is a systematic operational robotic platform...
research
05/10/2022

RotorTM: A Flexible Simulator for Aerial Transportation and Manipulation

Low-cost autonomous Micro Aerial Vehicles (MAVs) have the potential to h...

Please sign up or login with your details

Forgot password? Click here to reset