From SLAM to Spatial AI
As the development of LLM and Agentic AI, the concept of spatial AI is attracting increasing attention. Spatial AI combines machine learning/deep learning with 3D geometry and sensor data, allowing computers to perceive, map, and reason about physical space. Unlike traditional AI that focuses on text or 2D images, Spatial AI understands 3D space and real-world physics.
SLAM, as a fundamental technique, is very powerful to understand and perceive the 3D space and physical environment. SLAM has a long history over the traditional computer vision and state estimation theories, and now it’s getting new opportunities to evolve with the latest LLM development.