← Sinan Lab › Models › RDT-1B
Tsinghua University TSAIL (thu-ml)

RDT-1B

1B Commercial use OK 8/8 verified

Facts

Released
2024-10 1 Source
Parameters
1 B 1 Source
Architecture
Transformer policy 0 Source
License
MIT (code, weights and data all MIT, per README) 2 Source
Commercial
Commercial use OK 0 Source
Weights
huggingface.co ↗ 1 Source
Code
github.com ↗ 1 Source
Paper
arxiv.org ↗ 1 Source
Input modalities
rgb · language · state 0 Source
Action space
Unified action space covering single-arm/dual-arm, joints/end-effector, position/velocity 0 Source
Cross-embodiment
Pretrained on 1000k+ multi-robot episodes, fine-tuned on 6K+ ALOHA dual-arm episodes 1 Source
Pretraining data (hours)
Unverified 0 Source
Target forms
Single arm · Dual arm · Mobile manipulator 0 Source
Architecture · Diffusion Transformer; inputs language + up to three RGB streams, predicts 64 action steps at once; smaller RDT-170M version also available
Sources · 3 sources
license,params_b,cross_embodiment,code_url https://github.com/thu-ml/RoboticsDiffusionTransformer Official page · Fetched 2026-09-04 · No snapshot stored yet README:All the code, model weights, and data are licensed under MIT license;1B-parameter;1M+ multi-robot episodes
weights_url,license https://huggingface.co/api/models/robotics-diffusion-transformer/rdt-1b Model hub page · Fetched 2026-09-04 · No snapshot stored yet Model card license: mit; createdAt 2024-08-27
paper_url,release_date https://arxiv.org/abs/2410.07864 Paper / official docs · Fetched 2026-09-04 · No snapshot stored yet RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation,2024-10

Activity signals

Public counters fetched daily from GitHub, Hugging Face and ModelScope. Numbers only; no judgement. · fetched 2026-10-31

GitHub stars
1,814
+8 / 30 d
Commits · 90 d
0
last push 284 d ago
HF downloads · 30 d
277
all-time 35,869 · 106 likes
Weights last modified
2024-10-17
745 d ago
GitHubthu-ml/RoboticsDiffusionTransformer · 170 forks · 42 open issues · no GitHub releaseno push for 283 d
ModelScopewardvecker/rdt-1b · 1 downloads · updated 2026-08-14 · same-name mirror, not the vendor org
stars · last 30 d

Public benchmark scores

As printed in the source; protocols differ between papers. Full table with notes on the benchmarks page.

BenchmarkSubsetScoreSource
Real-robot evaluation (self-reported)agibot_g1_5_tasks_avg_completion_score0.5 score 0-1third-party · AgiBot World Colosseo / GO-1 paper, Fig. 5(b) 'Average' bar label for RDT-1B
Real-robot evaluation (self-reported)aloha_fold_shorts_1shot_total68paper · Table 3, row 'RDT (ours)', Fold Shorts (1-Shot) Total
Real-robot evaluation (self-reported)aloha_handover_5shot_total40paper · Table 3, row 'RDT (ours)', Handover (5-Shot) Total (sub-steps Pick Up Pen 100, Switch Hand 56, Drop Pen 56, Fall into Box 40)
Real-robot evaluation (self-reported)aloha_pour_water_L_1/3_total100paper · Table 3, row 'RDT (ours)', Pour Water-L-1/3 'Total' (instruction following); Correct Hand 100, Correct Amount 100
Real-robot evaluation (self-reported)aloha_pour_water_unseen_room3_total62.5paper · Table 3, row 'RDT (ours)', Pour Water 'Total' sub-column for unseen room 3 (used as 'Unseen Scene' in Table 2)
Real-robot evaluation (self-reported)aloha_robot_dog_total76paper · Table 3, row 'RDT (ours)', Robot Dog (Dexterity) 'Total' column (Grab Remote 100, Push Joystick 76, Total 76, Walk Straight 48)
Real-robot evaluation (self-reported)aloha_wash_cup_unseen_cup2_total50paper · Table 3 'Quantitative results', row 'RDT (ours)', Wash Cup 'Total' sub-column for unseen cup 2 (also used as 'Unseen Object' in Table 2)
RoboTwin 2.0easy34.5third-party · X-VLA paper, Table 2, row 'RDT (Liu et al., 2025b)', RoboTwin-2.0 Easy
RoboTwin 2.0hard13.7third-party · X-VLA paper, Table 2, row 'RDT (Liu et al., 2025b)', RoboTwin-2.0 Hard
All benchmarks →

Deployment recipe

No recipe yet. We publish only steps that actually ran on a rented GPU with a measured latency; this model has not been through that yet.

Record history

2026-09-04
Sources fetched
license,params_b,cross_embodiment,code_url · weights_url,license · paper_url,release_date

Latency & cost

cost = p50 ms ÷ 1000 × rental ÷ 3600 × 1000
Hardwarep50 msp95 msPeak VRAMCost per 1k inferences ¥samples
NVIDIA RTX 4090
¥1.68/h · GongJi Compute (2026)
— — — — no latency data No data
NVIDIA RTX 5090
¥2.4/h · Runyun 2.4 / GongJi 2.5 / Paratera Cloud 2.98 (2026)
— — — — no latency data No data
NVIDIA A100 80GB
no rental price
— — — — no latency data No data
NVIDIA Jetson AGX Thor
no rental price
— — — — no latency data No data
NVIDIA H100 80GB
no rental price
— — — — no latency data No data
NVIDIA A800 80GB
no rental price
— — — — no latency data No data
No latency measurements for this model yet · Data comes from literature, maintainer runs, or crowd CLI uploads. None exist so far.

Compatibility

Colored only where we hold evidence. An amber dot means the vendor declares this form as a target; that is a claim, not a verified compatibility.

Unitree G1Unitree H1AgiBot Genie G1AgileX Piper armSO-101Franka FR3 / PandaFourier GR-2WidowX 250 SGoogle Robot(Everyday Robots)ALOHA 2 / Cobot Magic (dual-arm)Galaxea R1 ProFranka Emika Panda
RDT-1B
Legend Officially supportedCommunity reproducedFine-tunable in theoryUnsupportedUnknown Vendor-declared target form 1 / 12 cells with a definite status

Reproduction records

Did this model run on your robot? Report it with a link (log, video or repo). Records are reviewed by the maintainers; a verified “works” or “works after fine-tuning” upgrades the matrix cell to “community verified” with your link as evidence. Anonymous is fine; nothing but the fields below is stored.

No verified record yet for this model.

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