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CUDA Accelerated Robot Library
| Date | Stars |
|---|---|
| 2026-07-24 | 1724 |
| 2026-07-25 | 1724 |
| 2026-07-28 | 1724 |
| 2026-07-30 | 1724 |
| 2026-08-06 | 1724 |
Today
— stars today
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Momentum
5.0
growth rate 0.00%/day
<!-- SPDX-FileCopyrightText: Copyright (c) 2023-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. -->
<!-- SPDX-License-Identifier: Apache-2.0 -->
# cuRobo
*CUDA Accelerated Robot Library*
**[Documentation](https://nvlabs.github.io/curobo) | [Paper](https://arxiv.org/abs/2603.05493)**
> [!NOTE]
> cuRoboV2 is a significant rewrite and the public API has changed from cuRobo v1.
> If you depend on the v1 API, pin to the [`v0.7.8`](https://github.com/NVlabs/curobo/tree/v0.7.8) tag.
cuRobo is a CUDA-accelerated library for robot motion generation, built on
PyTorch, CUDA, and Warp. It provides GPU-parallel algorithms for
forward/inverse kinematics, collision checking, trajectory optimization,
geometric planning, GPU-native perception, and whole-body motion generation,
scaling from single-arm manipulators to high-DoF humanoids.
Key capabilities:
- **Dynamics-aware trajectory optimization** with B-spline representation enforcing smoothness and torque limits
- **GPU-native ESDF perception** that generates dense signed distance fields from depth images, up to 10x faster than state-of-the-art
- **Scalable whole-body computation** including topology-aware kinematics, differentiable inverse dynamics, and map-reduce self-collision for high-DoF robots
- **Collision-free motion generation** combining IK, geometric planning, and trajectory optimization.
## Citation
If you found this work useful, please cite cuRoboV2,
```
@misc{curobo_v2,
title={cuRoboV2: Dynamics-Aware Motion Generation with Depth-Fused Distance Fields for High-DoF Robots},
author={Balakumar Sundaralingam and Adithyavairavan Murali and Stan Birchfield},
year={2026},
eprint={2603.05493},
archivePrefix={arXiv},
primaryClass={cs.RO}
}
```
## Contributing
Contributions are welcome. Bugs: [open an issue](https://github.com/NVlabs/curobo/issues). General usage questions: [GitHub Discussions](https://github.com/NVlabs/curobo/discussions). For pull requests, please read [`CONTRIBUTING.md`](CONTRIBUTING.md). All commits must include a DCO sign-off (`git commit -s`).
## License
cuRobo is released under the [Apache 2.0 license](LICENSE).
The example robot assets bundled in this repository are provided under their respective licenses. See [LICENSE_ASSETS](LICENSE_ASSETS) for details.
## Third-Party Software
This project will download and install additional third-party open source software projects. Review the license terms of these open source projects before use.
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Wei Yang · NVIDIA · United States
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e4ad10633d0cfd98, topic:cuda
matched fp:e4ad10633d0cfd98, topic:pytorch
matched fp:e4ad10633d0cfd98, topic:robotics