Home Projects Matterport3DSimulator
Matterport3DSimulator
C++

Matterport3DSimulator

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

by peteanderson80 · GitHub
Stars
Forks
Created
Last commit
Language
matterport3d-datasetmatterport3d-simulatornatural-language-processingC++
View on GitHub
In plain words

Develop AI agents that can navigate and interact with real 3D environments using panoramic images.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
Matterport3DSimulator — GitHub preview card
📈 Star history
705704
2026-07-202026-08-31
📈 Track Matterport3DSimulator

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

Matterport3DSimulator has 704 stars on GitHub. It has been forked 138 times. Matterport3DSimulator is written mainly in C++. It has been in active development since 2017. Its main topics are matterport3d-dataset, matterport3d-simulator, natural-language-processing, reinforcement-learning.

Frequently asked questions

What is Matterport3DSimulator?

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

Is Matterport3DSimulator open source?

Matterport3DSimulator is an open-source project.

Is Matterport3DSimulator free?

Yes. Matterport3DSimulator is free and open source — you can use, modify and self-host it.

What language is Matterport3DSimulator written in?

Matterport3DSimulator is written mainly in C++.

🏅 Maintainer of this project?
olud.ai badge — Matterport3DSimulator

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=peteanderson80-matterport3dsimulator)](https://olud.ai/project/peteanderson80-matterport3dsimulator.html)
More badge options →
🧬 Shares DNA with

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.