Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Scenarios, tutorials and demos for Autonomous Driving

Community for applying LLMs to robotics and a robot simulator with ChatGPT integration

Project AirSim is Microsoft's evolution of AirSim, an advanced simulation platform for building, training, and testing autonomous systems in high-fidelity virtual environments

This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.

毕业设计的代码部分，实现了UE4和airsim环境下无人机自主导航和目标跟踪的强化学习算法。

Drone Racing @ NeurIPS 2019, built on Microsoft AirSim

AirSim is a simulator for drones, cars and more, built on Unreal Engine. We expand it with new implementations and sensor modalities.

Programmable Engine for Drone Reinforcement Learning Applications

CarlaAir: Fly Drones Inside a CARLA World!! A Unified Infrastructure for Air-Ground Embodied Intelligence

Visually Realistic Underwater Robotics Simulator UNav-Sim

Autonomous UAV Navigation without Collision using Visual Information in Airsim

🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)

A virtual world where Autonomous Systems from different Formula Student teams can compete in time-trial challenges

A simple example of using Microsoft AirSim to train a TensorFlow neural net on collision avoidance

A framework for drone racing research, built on Microsoft AirSim.

Code associated with our paper "Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations": https://arxiv.org/abs/1909.06993

Combines JSBSim and Airsim with a python module to simulate a fixedwing

A multi-modal, photo-realistic dataset for online end-to-end scene change detection and more (accepted to IROS2021).

鸿钧：一个基于虚幻引擎和 AirSim 的仿真系统，让用户以简单轻松的配置方式搭建定制化的无人机作战环境。 本项目是鸿钧的 python 控制器，其通过 Socket 协议与由基于虚幻引擎和 AirSim 的仿真系统——鸿钧建立通讯，并控制其中仿真的无人机，进行飞行和战斗任务。用户可以使用 Python 语言编写无人机的飞行任务程序，完成无人机的编队飞行、攻击战斗、集群对抗等任务。 本团队在 AirSim 的基础上拓展出了攻击、战斗系统，可以对无人机的作战环境进行模拟，本项目可作为集群智能的训练平台，适用于无人机集群对抗、轰炸敌方目标单位等任务的人工智能训练。 该项目已被清华大学猛狮无人驾驶实验室和南京航空航天大学无人机实验室的研究生团队采用，并于人工智能仿真训练，并发表相关科研论文

AirSim with openAI gym and keras-rl integration for autonomous copter RL

Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.

Simulation interface to Unreal Engine 4 based on the AirSim plugin.

Official implementation of "AirSim360: A Panoramic Simulation Platform within Drone View"

No description available

Python code for Deep Reinforcement Learning with Transfer Learning in a Simulated Environment

This sample demonstrates how to bring AI to edge devices, by using AirSim to generate synthetic training data for a Custom Vision model and then how to deploy the model to edge devices.

An avatar simulation for AirSim (https://github.com/Microsoft/AirSim).

Training of Drone Swarms using StableBaselines3, PettingZoo, AirSim and UE4