Remember What You Did: Action-History Memory with Dual-Expert Denoising for Long-Horizon Vision-Language-Action Policies
cs.RO
Submitted: 2026-09-29
Updated: 2026-09-29
Terminology
Sources
- OpenVLA: An Open-Source Vision-Language-Action Model
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- ContextVLA: Vision-Language-Action Model with Amortized Multi-Frame Context
- Global Prior Meets Local Consistency: Dual-Memory Augmented Vision-Language-Action Model for Efficient Robotic Manipulation
- Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution
- HoloBrain-0 Technical Report
- RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design
- EventVLA: Event-Driven Visual Evidence Memory for Long-Horizon Vision-Language-Action Policies
- KEMO: Event-Driven Keyframe Memory for Long-Horizon Robot Manipulation with VLA Policies
- MEM: Multi-Scale Embodied Memory for Vision Language Action Models
- Memory Retrieval in Visuomotor Policies for Long-Horizon Robot Control
- History-Aware Visuomotor Policy Learning via Point Tracking
- Dual Latent Memory in Vision-Language-Action Models for Robotic Manipulation
- Beyond Short-Horizon: VQ-Memory for Robust Long-Horizon Manipulation in Non-Markovian Simulation Benchmarks
- CycleManip: Enabling Cyclic Task Manipulation via Effective Historical Perception and Understanding
- ReMem-VLA: Empowering Vision-Language-Action Model with Memory via Dual-Level Recurrent Queries
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