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

Drone Racing @ NeurIPS 2019, built on Microsoft AirSim

Programmable Engine for Drone Reinforcement Learning Applications

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

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

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

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

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

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

Walkthroughs for DSL, AirSim, the Vector Institute, and more

Simulator + benchmark suite for Micro Aerial Vehicle design.

Curated resources for autonomous drone racing: AI Grand Prix, A2RL, RL tutorials Resources, tools, and starter code for autonomous drone racing competitions including the Anduril AI Grand Prix, AlphaPilot, A2RL, and NeurIPS Game of Drones. Covers simulation environments, reinforcement learning, computer vision, and trajectory planning.

Deep Reinforcement Learning based autonomous navigation in realistic simulation environments.

Using DDPG and ConvLSTM to control a drone to avoid obstacle in AirSim

Autonomous Drone for Object Tracking

Prompts and source code for applying LLMs to UAV-based navigation tasks with various model integrations

Visuomotor policies from event-based cameras through representation learning and reinforcement learning. Accompanies our paper: https://arxiv.org/abs/2103.00806

Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments

AirSim ROS packages: modified ros wrapper for airsim, and some vslam related tools. (Mainly focused on Car SimMode)

A Novelty Approach to Emulate Field Data Captured by Unmanned Aerial Vehicles for Training Deep Learning Algorithms Used for Search-and-Rescue Activities at Sea

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 模拟器端，由Unreal4.27.2开发，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。