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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites
| Date | Stars |
|---|---|
| 2026-07-24 | 1568 |
| 2026-07-25 | 1568 |
| 2026-07-28 | 1568 |
| 2026-07-30 | 1568 |
| 2026-08-06 | 1568 |
Today
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growth rate 0.00%/day
# Awesome-Implicit-NeRF-Robotics [](https://github.com/sindresorhus/awesome) [](https://GitHub.com/Naereen/StrapDown.js/graphs/commit-activity) [](http://makeapullrequest.com) [](https://arxiv.org/abs/2410.20220)
<div align="center">
<img src="assets/robonerf_timeline_v2.png" width="100%">
</div>
## 🏠 About
This repository is largely based on the following paper:
**[Neural Fields in Robotics: A Survey](https://arxiv.org/pdf/2410.20220)**
<br />
Muhammad Zubair Irshad, Mauro Comi, Yen-Chen Lin, Nick Heppert, Abhinav Valada, Rares Ambrus, Zsolt Kira, Jonathan Tremblay
<br />
If you find this repository helpful, please consider citing:
```bibtex
@article{irshad2024neuralfieldsroboticssurvey,
title={Neural Fields in Robotics: A Survey},
author={Muhammad Zubair Irshad and Mauro Comi and Yen-Chen Lin and Nick Heppert and Abhinav Valada and Rares Ambrus and Zsolt Kira and Jonathan Tremblay},
journal={arXiv preprint arXiv:2410.20220},
year={2024}
}
```
This repo contains a curative list of **Implicit Representations and NeRF papers relating to Robotics/RL domain**, inspired by [awesome-computer-vision](https://github.com/jbhuang0604/awesome-computer-vision). Please feel free to send me [pull requests](https://github.com/zubair-irshad/Awesome-Implicit-NeRF-Robotics/blob/main/how-to-PR.md) or [email](mailto:[email protected]) to add papers! <br>
This is an active repository, you can watch for following the latest advances. If you find this repository useful, please consider [citing](#citation) 📝 and STARing ⭐ this list. Feel free to share this list with others!
For an overview of **NeRFs**, checkout the Survey ([Neural Volume Rendering: NeRF And Beyond](https://arxiv.org/abs/2101.05204)), Blog post ([NeRF Explosion 2020](https://dellaert.github.io/NeRF/)) and Collection ([awesome-NeRF](https://github.com/yenchenlin/awesome-NeRF))
## 🔥 News
- [2024-10-29] 📢 Check out the first compreshensive survey paper in the Neural Fields in Robotics domain: [Neural Fields in Robotics: A Survey](https://arxiv.org/pdf/2410.20220)
- Some other concurrent and notable survey papers include [NeRF in Robotics](https://arxiv.org/pdf/2405.01333) and [3D Gaussian Splatting in Robotics](https://arxiv.org/pdf/2410.12262)
- [2024-10-29] 📢 We launch a new website to learn about Neural Fields in Robotics including survey paper and workshops: [Neural Fields in Robotics Website](https://robonerf.github.io/). Note that workshops are available under year name, for instance checkout the ICRA 2024 workshop at [https://robonerf.github.io/2024](https://robonerf.github.io/2024)
- [2024-05-17] 📢 First Workshop on Neural Fields in Robotics was held at ICRA'24 in Yokohama, Japan. Check out the [workshop webpage](https://robonerf.github.io/2024/) for list of accepted papers and recordings of the full workshop sessions including speaker talks.
- [2022-06-09] [Zubair Irshad](https://zubairirshad.com/) curated this list and published the first version.
---
## Overview
- [Object Pose Estimation](#object-pose-estimation)
- [SLAM](#slam)
- [Manipulation/RL](#manipulationrl)
- [Object Reconstruction](#object-reconstruction)
- [Physics](#physics)
- [Planning/Navigation](#planningnavigation)
- [Citation](#citation)
---
## Object Pose Estimation
* **BundleSDF**: "Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects", *CVPR, 2023*. [[Paper](https://arxiv.org/pdf/2303.14158.pdf)] [[Webpage](https://bundlesdf.github.io/)]
* **ShAPO**: "Implicit Representations for Multi Object Shape Appearance and Pose Optimization", *ECCV, 2022*. [[Paper](https://arxiv.org/pdf/2207.13691.pExcerpt of 42,727 characters
Read on GitHubZubair Irshad · @GeorgiaTech @TRI-ML @GT-RIPL · United States
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Dominic Maggio
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Yen-Chen Lin
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Xingyu Chen
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b340ff402ba493f7, topic:robotics, topic:manipulation, topic:slam
matched fp:b340ff402ba493f7, topic:computer-vision, topic:pose-estimation, topic:nerf