SuperMap: Spatial Memory for Embodied AI
gabriberton · x · 2026-07-15
This post introduces the paper/project SuperMap: a spatiotemporal SLAM system designed for vision-language navigation.
Positioned as a "living spatial memory" for embodied AI, the system perceives the environment, remembers how it changes, and supports subsequent reasoning and action. The authors summarize the framework in four steps: Perceive → Remember → Reason → Act.
The work will be presented at RSS 2026, and the project page is now public.
More from Embodied
- Nothing phone mockup turns a film joke into a modular design meme — ZeYanjie · 2026-07-22
- Lightwheel AI Launches SimReadyGen: Text-to-Physics-Accurate Robot Sim Assets — ZeYanjie · 2026-07-22
- Humanoid robot sorting packages in a warehouse sparks debate over job loss — MonaJalal_ · 2026-07-22
- NVIDIA pushes OpenUSD as the common layer for simulation and physical AI — MonaJalal_ · 2026-07-22
- A quadruped robot gets a custom glow-up with a new shell and screen — DynamicWebPaige · 2026-07-22
- A VR teleop demo for an SO-101 arm gets absurdly low latency by using one Python script — MoonL88537 · 2026-07-22