1417 Open source projects that are alternatives of or similar to l2r

Open-source simulator for autonomous driving research.

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

Gibson Environments: Real-World Perception for Embodied Agents

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

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

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

Guided Policy Search

Python sample codes for robotics algorithms.

A simulation framework for Robotic Mobile Fulfillment Systems

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.

An open source autonomous driving stack by San Jose State University Autonomous Driving Team

This repo contains C++ code for sparse scene flow method.

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Scenarios, tutorials and demos for Autonomous Driving

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Software for the AutoRally platform

A list of references on lidar point cloud processing for autonomous driving

Simple for use Python binding for Coppelia Robotics V-REP simulator (remote API)

A hexapod robot simulator built from first principles

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Open source simulator for maritime robotics researchers

A flexible, high-performance 3D simulator for Embodied AI research.

An OpenAI gym wrapper for CARLA simulator

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Webots Robot Simulator

MATLAB sample codes for mobile robot navigation

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

⚡️ The Mobile Robot Programming Toolkit (MRPT)

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Real-time path planning for vehicles.

The Official Deep Learning Framework for Route-based Place Recognition

YARP - Yet Another Robot Platform

Mastering Atari with Discrete World Models

Vision-and-Language Navigation in Continuous Environments using Habitat

A curated list of software emulators and simulators of PCs, home computers, mainframes, consoles, robots and much more...

Open source robotics simulator.

Blazing fast hexapod robot simulator for the web.

Reinforcement learning environments with musculoskeletal models

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

C++ library for Parsing OpenScenario (1.1.1) & OpenDrive files (1.7) ASAM Specifications

2019 DGIST DPoom project under UGRP : SBC and RGB-D camera based full autonomous driving system for mobile robot with indoor SLAM

The Python Toolbox for Robotics

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

Jiminy: a fast and portable Python/C++ simulator of poly-articulated systems with OpenAI Gym interface for reinforcement learning

📘 Lisk improvement proposals

Ready-made structure of your next React Native application within a few minutes.

ROS 2 port of `trac_ik`, an alternative Inverse Kinematics solver to the popular inverse Jacobian methods in KDL.

Robotic Application Processor

Massively parallel rigidbody physics simulation on accelerator hardware.