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RoboticsRobot memoryStory 02

A robot remembers what left the camera frame

What changedLatent Transition Memory stores compact changes between consecutive observations and feeds them incrementally to a VLA policy. With ten times more demonstrations, RoboMME success rose from 57.67 to 87.50 percent; real-robot counting rose from 11.25 to 82.50 percent.

A robot memory overview shows latent transitions connecting earlier observations to later actions.

The useful part

Why it matters

With ten times more demonstrations, RoboMME success rose from 57.67 to 87.50 percent; real-robot counting rose from 11.25 to 82.50 percent.

Keep in mind

Good to know

The strongest result uses scaled demonstrations.

Evidence

Primary source

arXiv

Read the complete 17 October 2026 edition