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Q2 2026 Rankings
Robotics engineering is concentrated in few teams, but signal density is high.
Key Takeaway
In Q2 2026, 1 of 7 tracked robotics startups show positive engineering acceleration. ihmcrobotics leads with 23 commits over 14 days (+44% change). The dominant signal pattern is "Framework migration". Average sector commit velocity is 286 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 | ihmcrobotics IHMC Robotics Lab on GitHub View signal profile → | Growth | Unknown | 23 | +44% | 79 | +6% | 0 | Framework migration |
| 2 | zapplyjobs Free job boards and career resources for students & new grads View signal profile → | Pre-seed | US | 1,805 | -8% | 3 | +400% | 0 | Engineering hiring burst |
| 3 | commaai Building the Android of self-driving cars View signal profile → | Growth | Unknown | 69 | -9% | 100 | +0% | 0 | Framework migration |
| 4 | StanfordVL Research Codebase View signal profile → | Growth | US | 18 | -47% | 57 | +19% | 0 | Framework migration |
| 5 | mech-lang A language for developing data-driven, reactive systems View signal profile → | Seed | Unknown | 47 | -74% | 14 | +43% | 1 | Framework migration |
| 6 | 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 | 26 | -74% | 100 | +0% | 0 | Framework migration |
| 7 | ArduPilot ArduPilot development team View signal profile → | Growth | Unknown | 13 | -89% | 100 | +0% | 0 | Framework migration |
Sorted by commit velocity change (14-day window, descending). Top 3 highlighted. Data last updated Q2 2026.
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Best of 2026
Top Robotics startups ranked across all 2026quarters →
Q2 2026 vs Q1 2026
How Roboticscommit velocity has shifted quarter-over-quarter →
By signal type in this sector
In Q2 2026, we are tracking 7 robotics startups with measurable GitHub engineering signals. 1 of 7 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 6 of the tracked companies. The average 14-day commit velocity across the sector is 286 commits, with ihmcrobotics leading at 23 commits (+44% change). These patterns have historically preceded fundraise announcements by three to six weeks.
ihmcrobotics leads the robotics sector in Q2 2026 with 23 commits over a 14-day window, representing a +44% change from the prior period. With 79 active contributors, ihmcrobotics is showing a "Framework migration" pattern — one of the more reliable leading indicators of a significant product milestone or fundraise.
Among the 7 robotics startups we track, US accounts for the highest concentration with 2 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.