RLWRLDUnited States2026
RLDX-1
Full specifications
12 of 14 fields stated| Field | Value | Source and caveats |
|---|---|---|
| Release | ||
| Released | 5 May 2026 | [A] "Submitted on 5 May 2026" D |
| Input and output | ||
| Model type | vision-language-action | RLWRLD's technical report: "RLDX-1 is a Vision-Language-Action model (VLA)". The model card lists the tag "- vision-language-action". B |
| Inputs | camera language robot state touch | Model card: "RGB video (default 4 frames), state proprioception, optional tactile / torque signals, language instruction." Tactile and torque inputs are optional. A |
| Controls | arms and hands | Technical report: "the ability of RLDX-1 to control a high-DoF humanoid robot". The ALLEX test robot: "It is equipped with 7-DoF arms and 15-DoF five-finger hands." B |
| Degrees of freedom controlled | not stated | |
| Size and speed | ||
| Parameters | 6.9B | Pretrained checkpoint RLDX-1-PT: "Multi-source pretrained foundation (this repo) | 6.9B". The mid-trained checkpoints are larger: "DROID mid-train | 8.1B". A |
| Control rate | more than 22Hz | Model inference speed on one GPU, not motor control: "43.7 ms / step on RTX 5090 (1.63× speedup, >22 Hz)". A |
| Where it runs and what it is built on | ||
| On robot or cloud | not stated | |
| Base model | Qwen3-VL-8B-Instruct | Model card header: "base_model: Qwen/Qwen3-VL-8B-Instruct". A |
| Openness | ||
| Access | Open weights (download) | Model card: this repository hosts "a foundation checkpoint pretrained on a broad mixture of public manipulation corpora". A |
| Licence terms | RLWRLD Model License v1.0 | License text: the model and derivatives "may only be used for non-commercial purposes". C |
| Licence | Free, research only | License text: the model and derivatives "may only be used for non-commercial purposes". C |
| The developer’s own claims | ||
| Learns new tasks | needs retraining | Developer claim: "For custom robots, finetune." A |
| Works across robots | yes | Developer claim: "RLDX-1 covers diverse embodiments including single-arm, dual-arm, and humanoid robots". The model card adds that the pretrained checkpoint "is not guaranteed to work zero-shot on novel embodiments without finetuning". B Yes only if the developer itself says the model runs on different robot models, for example robots from two manufacturers or two of one manufacturer’s models. Several units of the same robot do not count. |
How to read the figures
- 50HzA
- The letter in the grey square after a figure points to the source the figure came from. Pages with several sources carry several letters.
Notes
- RLWRLD publishes a pretrained checkpoint, RLDX-1-PT, from which its task-specific checkpoints are fine-tuned.
- RLWRLD lists its headquarters in San Francisco, with offices in Seoul and Tokyo, on its own website.
Versions and notes in the key figures (7)
Model type
RLWRLD's technical report: "RLDX-1 is a Vision-Language-Action model (VLA)". The model card lists the tag "- vision-language-action".
Controls
Technical report: "the ability of RLDX-1 to control a high-DoF humanoid robot". The ALLEX test robot: "It is equipped with 7-DoF arms and 15-DoF five-finger hands."
Inputs
Model card: "RGB video (default 4 frames), state proprioception, optional tactile / torque signals, language instruction." Tactile and torque inputs are optional.
Access
Model card: this repository hosts "a foundation checkpoint pretrained on a broad mixture of public manipulation corpora".
Parameters
Pretrained checkpoint RLDX-1-PT: "Multi-source pretrained foundation (this repo) | 6.9B". The mid-trained checkpoints are larger: "DROID mid-train | 8.1B".
Base model
Model card header: "base_model: Qwen/Qwen3-VL-8B-Instruct".
Licence
License text: the model and derivatives "may only be used for non-commercial purposes".
Sources
-
A
huggingface.
co/ · RetrievedRLWRLD/ RLDX-1-PT -
B
arxiv.
org/ · Retrievedhtml/ 2605. 03269 -
C
huggingface.
co/ · RetrievedRLWRLD/ RLDX-1-PT/ blob/ main/ LICENSE. md -
D
arxiv.
org/ · Retrievedabs/ 2605. 03269
One line per source, not per figure: a source has one retrieval date. The letter beside a figure points to the line it came from.