1st Place
Project
Project: GeminiSpace Track: Gemini in Hard Tech(Option 2) The Problem: Building environmental maps for mobile robots in factories using traditional SLAM is time-consuming, rigid, and computationally expensive.
Core trick
Gemini reads panoramic photos into a floor plan and routing graph, then turns a typed question into an obstacle-free ROS2 Nav2 payload.
Description
Project: GeminiSpace
Track: Gemini in Hard Tech(Option 2)
The Problem: Building environmental maps for mobile robots in factories using traditional SLAM is time-consuming, rigid, and computationally expensive.
The Solution: GeminiSpace redefines spatial mapping. Users upload standard panoramic pictures of an indoor environment. The Gemini API processes the space autonomously, instantly generating a 2D orthographic floor plan, a topological routing graph, and a 3D Voxel map.
Hardware Execution: We bridge generative AI with physical automation. A user types a natural language query (e.g., "How do I get to the table?"). Using Gemini's multimodality, the system generates an obstacle-free physical path and translates it into a standard ROS2 Nav2 payload for direct hardware dispatch.
Built With: Google Antigravity, Google AI Studio, Gemini 3.1 Pro, Nano Banana, NotebookLM, Next.js, FastAPI.
README excerpt
# 🌌 Spatial OS (GeminiSpace v4.0) — Vision-Language-Action Indoor Navigator <div align="center"> [](https://cerebralvalley.ai/e/gemini-3-seoul-hackathon/hackathon/gallery?project=27) [](https://blog.google/intl/ko-kr/company-news/inside-google/gemini-seoul-hackathon-first/) [](https://www.youtube.com/watch?v=rZI6C7XsnY4) [](https://fastapi.tiangolo.com) [](https://nextjs.org) [](https://ai.google.dev) [](https://mincasurong.github.io) <br /> <p align="center"> <img src="docs/gemini_space_260902.gif" alt="GeminiSpace Animated Cockpit Demo" width="100%" /> </p> **An autonomous indoor sp