Skip to main content

3D SLAM mapping improved by MIT using submap AI vision

Full 3D map of an office cubicle

The artificial intelligence-driven system incrementally creates and aligns smaller submaps of the scene, which it stitches together to reconstruct a full 3D map, while estimating the robot’s position in real-time (Image: Dominic Maggio, Hyungtae Lim and Luca Carlone / MIT)

MIT has unveiled a fast submap-based AI vision system for real-time robotic 3D mapping

Register for FREE to keep reading

Join 10,000+ vision professionals driving innovation in automation, AI and imaging with:

  • Expert insights on vision, robotics, AI & embedded tech
  • Newsletters and features covering the full imaging landscape
  • Visionaries series: leadership strategies in imaging
  • Free panels on smart manufacturing & autonomy
  • White Papers & updates for smarter integration

Sign up now

Already a member? Log in here

Your data is protected under our privacy policy.

Imaging and Machine Vision Europe covers

Media Partners