ECHO: Continuous Hierarchical Memory for Vision-Language-Action Models

May 9, 2026· Yanbin Hu*, Jin Cui*, Jiayi Lu, Ruixuan Yang, Jun Ye, Boran Zhao, Xingyu Chen, Xuguang Lan, Pengju Ren · 1 min read

* Equal contribution

Type
Publication
Conference on Neural Information Processing Systems
publications

Overview

Organizing robot experiences in a continuous hierarchical memory to support retrieval and generalization in long-horizon tasks.

ECHO architecture integrating a hierarchical memory system with a vision-language-action model

NeurIPS 2026 · Accepted.

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Vision-Language-Action Models Hierarchical Memory
Ruixuan Yang
Authors
Ruixuan Yang
Undergraduate Student

I am Ruixuan Yang, an undergraduate in the School of Mathematics and Statistics at Xi’an Jiaotong University (XJTU). I’m interested in Model Efficiency, Multimodal LLMs (MLLMs), Post-training & Reasoning, etc.

I am currently a visiting student in Prof. Yulun Zhang’s group at Shanghai Jiao Tong University and Prof. Huan Wang’s ENCODE Lab at Westlake University.