RDT2 (and RDT-1B)
Model idrobotics-diffusion-transformer/RDT2-VQ
PricePrice not published
Checked29 September 2026
Where it stands
21newer robotics models since its release
- Praxis-130 Sep 2026
- Helix 2.517 Sep 2026
- UnifoLM-WLA-1.010 Sep 2026
- Skild S1 (Skild Brain)25 Aug 2026
- Generalist GEN-1.519 Aug 2026
The 5 newest are listed. All robotics models
- Weights
- Weights are public under a permissive licence (Apache-2.0).
How to call it
3 ways to use RDT2 (and RDT-1B), with the model id each provider expects.
| Provider | Model id | Endpoint | Docs |
|---|---|---|---|
| Hugging Face | robotics-diffusion-transformer/RDT2-VQ |
huggingface.co | |
| Hugging Face (RDT-1B, MIT) | robotics-diffusion-transformer/rdt-1b |
huggingface.co | |
| GitHub | rdt-robotics.github.io github.com |
Pricing
Price not published.
No price source linked. Checked 29 September 2026.
Specs
- Input
- Images and text
- Output
- Robot actions
- Context window
- Not published
- Max output
- Not published
- Open weights
- Yes
- Licence
- Apache-2.0
- Released
- September 2025
- Status
- Current
- Type
- Robotics model
What stands out
What its maker marketed at launch, and what people found later, each with its source.
Zero-shot deployment on unseen embodiments
First
RDT2 (8B, Qwen2.5-VL-7B based, residual-VQ action tokens; RDT2-FM flow-matching variant) trained on 10k+ h of UMI-gripper human manipulation from 100+ scenes; authors call it possibly the first foundation model to deploy zero-shot on unseen embodiments (UR5e, Franka FR3) for simple open-vocabulary tasks.
Large diffusion foundation model for bimanual manipulation (RDT-1B)
RDT-1B (Oct 2024, 1.2B) was billed as the largest diffusion-based foundation model for bimanual manipulation, pretrained on 46 datasets (1M+ episodes) and fine-tuned on a 6K+ episode ALOHA dataset.
Notes
‘First’ claim is the authors’ own hedged wording. HF RDT2-VQ repo created 2025-09-22.