Open-source alternatives to Cloe

This project is an AI research implementation library and machine learning research repository. It provides a collection of reference code, illustrative implementations, and open-source research datasets used to verify hypotheses and build upon existing models in artificial intelligence. The repository focuses on scientific research reproduction by translating theoretical findings from published papers into executable code. It includes specialized scientific simulation environments designed to test the behavior of autonomous agents and models within controlled settings. The project covers AI

CARLA is an autonomous driving simulator and research environment designed for developing and validating self-driving software. It functions as an urban traffic simulator that generates realistic vehicle and pedestrian behavior and as a synthetic sensor data generator producing LiDAR, Radar, and camera data. The platform distinguishes itself through its deep integration with robotics frameworks, specifically providing native connectivity to ROS2 nodes for robotic control and data processing. It supports the training of driving models via imitation and reinforcement learning within a controlle

ROS bridge for CARLA Simulator

MIT Cheetah I Implementation

An OpenAI gym wrapper for CARLA simulator

Unreal Engine Plugin to enable ROS Support

Support for ROS-enabled RGBD data acquisition in Unreal Engine Projects

Webots is a physics-based robot simulator and development environment used for modeling, programming, and testing the behavior of robots in a simulated 3D physical world. It serves as a virtual prototyping tool to verify mechanical and electronic systems through the creation of virtual robot models and control logic. The platform enables a full robotics simulation workflow, including the development of robot controllers and the programming of autonomous agent behaviors. It focuses on physical system modeling to represent the mechanical properties of hardware and simulate real-world interactio

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

SUMO is a microscopic traffic simulation suite designed to model the movement of individual vehicles and pedestrians across large-scale urban road networks. It functions as a multimodal transport simulator that integrates cars, pedestrians, bicycles, railways, and waterways within a single environment, supported by tools for road network generation and traffic demand modeling. The project distinguishes itself through specialized toolsets for environmental impact analysis, which calculate vehicle emissions and energy consumption for electric and hybrid fleets. It provides comprehensive capabil

A minimalist environment for decision-making in autonomous driving

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

Simulation for spacecraft attitude control system analysis and design

Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version

a basic OpenSCENARIO player

A Torch plugin for Unreal Engine 4.

Habitat-Lab

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Computational framework for reinforcement learning in traffic control

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

CHALET is a 3D house simulator with support for navigation and manipulation. Unlike existing systems, CHALET supports both a wide range of object manipulation, as well as supporting complex environemnt layouts consisting of multiple rooms. The range of object manipulations includes the ability…

Reinforcement Learning environments based on the 1993 game Doom :godmode:

The source code for the Menge crowd simulation framework

AirSim is a high-fidelity simulation platform designed for the development and testing of autonomous vehicles. Built as a plugin for game engines, it provides a physics-based environment that models vehicle dynamics and sensor data, serving as a foundation for robotics research, computer vision training, and reinforcement learning. The platform distinguishes itself through its support for hardware-in-the-loop and software-in-the-loop testing, allowing developers to validate control logic and firmware against real-world signals or concurrent processes. It offers extensive programmatic control

Trick Simulation Environment. Trick provides a common set of simulation capabilities and utilities to build simulations automatically.

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)