Add Your Work to Simulately

[YuyangLee]

Add Your Work to the Related Work Page in Simulately

We maintain a list of Related Work on Simulately. This includes awesome papers, benchmarks, workshops, e.t.c., concerning robotics and simulation. If you like it, you can add your work to it via this discussion!

Requirements

Your work should follow the following requirements:

• It could be a finished project, a published paper (even on Arxiv), rather than a work-in-progress one with empty pages.
• It should be in the field of 3D computer vision or robotics, with real content.
• It should have a stable link (a Netlify/Vercel deploy preview is not allowed).

To request your work to be presented on the website, you only need to post a comment below, and include the following information clearly:

• Title
• A description to your paper, ≤120 characters
• Link to your website or the PDF
• Which simulator is used?
• Which topic is related? You can follow the ones existing in the Page, or you can also add yours.
• (Optional) A link to your teaser. An image with proper file size (<2MiB) is preferred.

To ensure our related work page remains usable over time, we reserve the right to reject some lower-quality sites.

After Your Request

We'll get your site added as soon as possible. In case your request is invalid, we will tell you.

Notes

• You can ask for an update on your work anytime!
• We keep the right to edit your submission before publication.
• After the update is completed, we will delete your comment.

This page is motivated by this discussion for Docusaurus.

[btx0424]

Hi there, your efforts have been amazing.

I would like to add another piece to the picture: simulated environments for drones.

Our work OmniDrones (submitted to RA-L) presents an efficient and versatile simulated environment for reinforcement learning of UAV control and coordination. It is developed based on Isaac Sim and aimed to serve as a starting point for subsequent research. Compared to previous works, it allows users to build more complex scenarios (e.g., a group of drones carrying a payload) where the potential of RL is yet to be fully revealed.

It should fit in the category of domain-specific simulators.

Repo | Website

[geng-haoran]

Hi @btx0424, thanks for the discussion and this great work. We will add this project somewhere in domain-specific simulators. Thank you again.

[tongzhoumu]

Hi there,

Thanks for the great work!

I found the link to our work ManiSkill is wrong, could you fix it?

• Correct link: https://github.com/haosulab/ManiSkill
• Venue: NeurIPS 2021 (Dataset and Benchmark Track)

Thanks!

[geng-haoran]

Thank you! We will fix it soon!

[geng-haoran]

Already updated! Thank you again!