MemBodied: Recurrent Associative Memory for Vision-Language-Action Models
cs.RO, cs.AI, cs.CV
Submitted: 2026-09-23
Updated: 2026-09-23
Code: https://github.com/declare-lab/MemBodied
Project page: https://declare-lab.github.io/MemBodied
Terminology
Sources
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- RT-1: Robotics Transformer for Real-World Control at Scale
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design
- $\mu$VLA: On Recurrent Memory for Partially Observable Manipulation in VLA Models
- SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation
- Chameleon: Control-Indexed Prospective Memory for Visuomotor Manipulation
- Notes-to-Self: Scratchpad Augmented VLAs for Memory Dependent Manipulation Tasks
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- delta-mem: Efficient Online Memory for Large Language Models
- ReMem-VLA: Empowering Vision-Language-Action Model with Memory via Dual-Level Recurrent Queries
- MAP-VLA: Memory-Augmented Prompting for Vision-Language-Action Model in Robotic Manipulation
- FAST: Efficient Action Tokenization for Vision-Language-Action Models
- SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model
- Octo: An Open-Source Generalist Robot Policy
- NativeMEM: Native Memory Compression for Long-Horizon Robotic Manipulation
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