Skip to content

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Jul 2026

HiMe: Hierarchical Embodied Memory for Long-Horizon Vision-Language-Action Control

HiMe is proposed, a Hierarchical Embodied Memory framework that decouples embodied intelligence into a high-frequency Executor for execution, a Sentry for working memory, and a Planner for long-term strategy, and introduces a dynamic knowledge system based on cross-modal semantic schemas and active management mechanisms.

Li Ji, Siyin Wang, Pengfang Qian et al. · 1 citation