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Gemini Robotics 2.5

Gemini Robotics 2.5: Google’s most capable robot model

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Gemini Robotics 2.5 is Google DeepMind’s most capable vision-language-action model, turning what a robot sees and is told into hand and arm movements. Per DeepMind, it has a 30% to 100% higher success rate than the previous baseline, finishes tasks 20% to 30% faster, and reached 96% success in a Mercedes-Benz parts-kitting pilot with Apptronik’s Apollo 2 humanoid. Works across robot types. Rolling out to robotics partners.

PH · launched Nov 14, 2026 · 128 upvotes (top 1%) · 0 views

Niche: robotics software and platforms · 195 launches, 9 in the last 7 days ▼ -36% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • B2B
  • AI-native
  • Commercial product
  • Artificial Intelligence
  • GitHub
  • YouTube

Visit website ↗ Source listing ↗

Could you build this?

No This is a vision-language-action foundation model for robots, and a comparable model requires large-scale training and proprietary robot data that vibe coding cannot produce.

What it would actually take: Building a comparable model means training a large vision-language backbone and then a robot action head on large volumes of teleoperated demonstration data, which requires TPU-scale compute and proprietary datasets. Evaluation needs physical robot hardware for real-world success-rate measurement. The work needs an ML research team with robotics experience, not an app stack.

Competitors

Other products that read as similar to this one : 343 launches clear the similarity bar, closest 8 shown.

Attention rank: #14 of 344 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 375 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.