Robot makerBeijing, ChinaFounded 2023
Builds humanoid robots and dexterous hands and trains the ERA-42 end-to-end robot model that runs on them.
RobotEra (北京星动纪元科技有限公司) is a Beijing embodied-AI company formally launched in August 2023 and incubated by Tsinghua University's Institute for Interdisciplinary Information Sciences. It builds full-size humanoid robots such as the L7 and the XHAND1 dexterous hand. In December 2024 it announced ERA-42, an end-to-end robot model that it uses across its robots.
Sources: news.metal.com (9 Jul 2025) · wallstreetcn.com (6 Jul 2026) · roboticstomorrow.com (24 Dec 2024)
Private company · $200M disclosed in USD across 1 of 4 listed rounds
| Date | Round | Amount | Lead | Source |
|---|---|---|---|---|
| 7 Jul 2025 | Series A | nearly RMB 500M | Haier Capital, CDH VGC | news.metal.com, 9 Jul 2025 |
| Mar 2026 | StrategicValuation: over RMB 10B (market reports) | RMB 1B | n/a | wallstreetcn.com, 6 Jul 2026 |
| 27 Apr 2026 | Undisclosed (new round) | $200M | SF Group | 36kr.com, 27 Apr 2026 |
| 6 Jul 2026 | Undisclosed (new round) | RMB 1B | ChengTong Fund (诚通基金) | wallstreetcn.com, 6 Jul 2026 |
#83 of 104 model companies · score 8.4 / 100 · updated 19 Oct 2026
Each bar shows an input from 0 to 100% before weighting. 0 of 1 listed models have open weights.
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.
| Input | Weight | How it is measured |
|---|---|---|
| Published benchmarks | 35% | 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 weights | 20% | Share of the company's listed models whose weights the public can download. |
| Adoption | 20% | 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 models | 15% | Number of publicly announced, named models, capped at 5. |
| Disclosed funding | 10% | 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.
Closed weightsVLA
End-to-end robot model combining vision, language, touch and body posture with a world-model component, shown driving the XHAND1 five-finger hand on more than 100 tool-use tasks.
No benchmark results on a shared public benchmark have been published for this model.
