DRAM: Delta-rule Recurrent Associative Memory for Robot Manipulation Policies
cs.RO, cs.AI
Submitted: 2026-09-26
Updated: 2026-09-29
Terminology
Sources
- RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design
- $\mu$VLA: On Recurrent Memory for Partially Observable Manipulation in VLA Models
- ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context
- RoboTTT: Context Scaling for Robot Policies
- ReMem-VLA: Empowering Vision-Language-Action Model with Memory via Dual-Level Recurrent Queries
- MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation
- MEM: Multi-Scale Embodied Memory for Vision Language Action Models
- SANA-WM: Efficient Minute-Scale World Modeling with Hybrid Linear Diffusion Transformer
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