Q3 2026 · Asia-Pacific
Robotics Startups in Asia-Pacific to Watch, Q3 2026
2 robotics startups based in Asia-Pacific ranked by GitHub engineering acceleration. Filtered from our broader Robotics sector rankings.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | rt-net rt net is arobotics pre-seed startup based in APAC, shipping product updates at an accelerated pace. View signal profile → | Pre-seed | APAC | 1 | +999% | 5 | +0% | 0 | Deploy frequency spike |
| 2 | lge-ros2 'lge-ros2' project is now heading to next-generation robotics world by cloud robotics framework with 5G connections. View signal profile → | Pre-seed | APAC | 52 | +24% | 4 | +16% | 2 | Framework migration |
Sorted by commit velocity change (14-day window, descending). Data last updated Q3 2026. Geography from GitHub org profiles.
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Frequently Asked Questions
Which robotics startups in Asia-Pacific are showing the strongest engineering signals in Q3 2026?
In Q3 2026, rt-net leads robotics startups in Asia-Pacific with 1 commits over a 14-day window (+999% change) and 5 active contributors. Across all 2 tracked Asia-Pacific-based startups in this sector, the average 14-day commit velocity is 27 commits. The dominant signal pattern is "Deploy frequency spike", which typically indicates accelerated shipping cadence, often seen before a public launch or major release.
How does the Asia-Pacific robotics startup ecosystem compare to other regions?
Asia-Pacific accounts for 2 of the robotics startups in our tracking dataset for Q3 2026. This geographic view filters the broader sector rankings to help investors focused on Asia-Pacific-based deal flow identify engineering acceleration patterns within their target geography. Regional concentrations often reflect local regulatory environments, talent pools, and investor networks that shape startup trajectories differently from global averages.
How is startup geography determined in these rankings?
We derive startup geography primarily from the GitHub organization profile location field, supplemented by a manually curated enrichment database of known startup headquarters. This means startups without a public GitHub location may appear in our global sector rankings but not in geographic filters. The geographic classification uses broad regions (Asia-Pacific, etc.) rather than city-level granularity to provide meaningful sample sizes for comparison.