Article

NativeMEM: A Native Memory Compression Method for Long-Horizon Robotic Manipulation

NativeMEM is a vision-language-action (VLA) policy with long-horizon, real-time updated memory. Its core is the Native Memory Compression encoding scheme, which reuses the VLA's own vision encoder to compress each historical frame from each camera view into a single token. Appended to the input sequence, these tokens let the pretrained VLA attend to long-term history with negligible latency overhead, requiring neither an external planner nor a newly initialized memory module.

Part of the event: NativeMEM improves long-horizon manipulation success rates for VLA via memory token compression

This page provides a summary and source link only.