Inline Memory Meets Reusable Skills: Memory-centric Framework for Vision-Language-Action Model
cs.CV, cs.RO
Submitted: 2026-09-30
Updated: 2026-09-30
Terminology
Sources
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- Language Models are Few-Shot Learners
- UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
- RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
- LoRA: Low-Rank Adaptation of Large Language Models
- $\pi^{*}_{0.6}$: a VLA That Learns From Experience
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
- OpenVLA: An Open-Source Vision-Language-Action Model
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
- MAP-VLA: Memory-Augmented Prompting for Vision-Language-Action Model in Robotic Manipulation
- CogVLA: Cognition-Aligned Vision-Language-Action Model via Instruction-Driven Routing & Sparsification
- Vision-Language Foundation Models as Effective Robot Imitators
- Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks
- Global Prior Meets Local Consistency: Dual-Memory Augmented Vision-Language-Action Model for Efficient Robotic Manipulation
- EchoVLA: Robotic Vision-Language-Action Model with Synergistic Declarative Memory for Mobile Manipulation
- Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning
- HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model
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