EvoMem-VLA: State-Evolution Memory for Long-Horizon Robot Manipulation
cs.RO, cs.CV
Submitted: 2026-10-04
Updated: 2026-10-04
Project page: https://yuhengna.github.io/EvoMem-VLA
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design
- Non-Markovian Long-Horizon Robot Manipulation via Keyframe Chaining
- Diffusion Policy: Visuomotor Policy Learning via Action Diffusion
- RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies
- SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation
- ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
- Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
- OpenVLA: An Open-Source Vision-Language-Action Model
- HAMLET: Switch your Vision-Language-Action Model into a History-Aware Policy
- CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
- HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model
- SwiftVLA: Unlocking Spatiotemporal Dynamics for Lightweight VLA Models at Minimal Overhead
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model
- MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation
- SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
- DINOv3
- StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
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