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Q1 2026 Rankings
Robotics engineering is concentrated in few teams, but signal density is high.
Key Takeaway
In Q1 2026, 2 of 3 tracked robotics startups show positive engineering acceleration. StanfordVL leads with 12 commits over 14 days (+1100% change). The dominant signal pattern is "Deploy frequency spike". Average sector commit velocity is 47 commits per 14-day window. These engineering momentum signals have historically preceded fundraise announcements by three to six weeks.
Data sourced from public GitHub activity. Read our methodology
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | StanfordVL Research Codebase View signal profile → | Growth | US | 12 | +1100% | 55 | +0% | 0 | Deploy frequency spike |
| 2 | ihmcrobotics IHMC Robotics Lab on GitHub View signal profile → | Growth | Unknown | 45 | +800% | 79 | +6% | 0 | Deploy frequency spike |
| 3 | borglab GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs View signal profile → | Growth | Unknown | 83 | -33% | 100 | +0% | 0 | Framework migration |
Sorted by commit velocity change (14-day window, descending). Top 3 highlighted. Data last updated Q1 2026.
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In Q1 2026, we are tracking 3 robotics startups with measurable GitHub engineering signals. 2 of 3 show positive commit velocity growth. The most common signal type is "Deploy frequency spike", observed in 2 of the tracked companies. The average 14-day commit velocity across the sector is 47 commits, with StanfordVL leading at 12 commits (+1100% change). These patterns have historically preceded fundraise announcements by three to six weeks.
StanfordVL leads the robotics sector in Q1 2026 with 12 commits over a 14-day window, representing a +1100% change from the prior period. With 55 active contributors, StanfordVL is showing a "Deploy frequency spike" pattern — one of the more reliable leading indicators of a significant product milestone or fundraise.
Among the 3 robotics startups we track, US accounts for the highest concentration with 1 teams. Startups building autonomous robots and robotic process automation. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.