Shanghai Innovation Institute logo

Shanghai Innovation Institute

Research labShanghai, China

AI education and research institute in Shanghai that released the τ0-VLA hierarchical robot foundation model with AgiBot Finch.

Overview

Shanghai Innovation Institute (SII) is a new type of AI talent-training and research institution in Shanghai built jointly by universities, companies and research bodies. In July 2026 it released τ0-VLA, a hierarchical robot foundation model co-authored with AgiBot Finch and CUHK, with Apache-2.0 code and weights.

Sources: sii.edu.cn (19 Oct 2026) · arxiv.org (17 Aug 2026) · huggingface.co (19 Oct 2026)

Type
Research lab
Headquarters
Shanghai, Chinasii.edu.cn, 19 Oct 2026
Website
sii.edu.cn

Funding history

Research lab · Education and research institute; no venture funding.

Ranking

#12 of 104 model companies · score 76.8 / 100 · updated 19 Oct 2026

  • Published benchmarks 35%98%
  • Open weights 20%100%
  • Adoption 20%58%
  • Released models 15%20%
  • Disclosed funding 10%n/a

Each bar shows an input from 0 to 100% before weighting. 1 of 1 listed models have open weights. Most-starred official repository: sii-research/tau-0-vla (642 stars, 19 Oct 2026).

How we rank model companies

The score (0–100) measures public, checkable evidence about a company's robot models. It does not measure private capability. A company that publishes no benchmark results and no weights can still have strong models. Every input is computed from the data on each company page, and every number there links to its source.

InputWeightHow it is measured
Published benchmarks35%For each scored benchmark, the company's best result divided by the best result any company has published, averaged over the benchmarks it reports. No published results scores 0. Results come only from the model's own paper, model card or the official benchmark leaderboard. Scored: LIBERO (4-suite average success, %); SimplerEnv Google Robot, visual matching (%); SimplerEnv Google Robot, variant aggregation (%); SimplerEnv WidowX / Bridge (%); CALVIN ABC→D (average length, 0–5); RoboArena (pairwise rating).
Open weights20%Share of the company's listed models whose weights the public can download.
Adoption20%GitHub stars on the company's most-starred official model repository, on a log scale relative to the most-starred repository in the list. Hugging Face downloads are shown on company pages but not scored, because gated repositories report zero.
Released models15%Number of publicly announced, named models, capped at 5.
Disclosed funding10%The sum of the funding rounds listed on the company's profile that were disclosed in USD, on a log scale from $10M to the largest sum in the list. Rounds reported only in other currencies are listed but not converted or counted. This input applies only to private startups and robot makers. For big-tech divisions, research labs and listed companies it is n/a, and its weight is shared across the other inputs in proportion.

Sources. arXiv papers and official model cards for benchmarks and parameters; official leaderboards (RoboArena); the GitHub and Hugging Face APIs for stars and downloads; company announcements and established press for funding. Missing values are shown as n/a, never estimated.

Updated 19 Oct 2026. Benchmark protocols differ between papers, for example in fine-tuning and number of trials, so small gaps between close scores are not meaningful.

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Open-weights models (1)

Shanghai Innovation Institute logo

τ0-VLA

Open weightsVLA

Hierarchical robot foundation model (Qwen3.5-2B backbone) whose high-level policy uses world-model-guided test-time search over subtasks; trained on 40,115 hours of real-world data.

Released
27 Jul 2026
Parameters
n/a
License
Apache-2.0
Embodiments
mobile manipulator
GitHub stars
642 as of 19 Oct 2026
HF downloads (all time)
410 as of 19 Oct 2026
Published benchmark results for τ0-VLA
BenchmarkResultSource
LIBEROAverage success rate across LIBERO-Spatial/Object/Goal/Long (%)97.35%huggingface.coModel card, 60,000-step LIBERO checkpoint: Spatial 97.4, Goal 98.2, Object 98.8, Long 95.0. As of 20 Sep 2026