T squared Mem: Learning Test-Time Memory for Robotics
cs.RO
Submitted: 2026-09-29
Updated: 2026-09-29
Project page: https://yzliu84.github.io/T2MEM-project
Terminology
Sources
- Titans: Learning to Memorize at Test Time
- Learning to Explore using Active Neural SLAM
- RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies
- RoboTTT: Context Scaling for Robot Policies
- ReMem-VLA: Empowering Vision-Language-Action Model with Memory via Dual-Level Recurrent Queries
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation
- Learning to (Learn at Test Time): RNNs with Expressive Hidden States
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