Awesome Robotics Manipulation · full_paper

MemoAct: Atkinson-Shiffrin-Inspired Memory-Augmented Visuomotor Policy for Robotic Manipulation

作者：MemoAct: Atkinson–Shiffrin-Inspired Memory-Augmented Liufan Tan, Jiale Li, Gangshan Jing · 单位：Chongqing University · 会议/期刊：arXiv · 日期：2026-03-19 · 来源：Low-Level Learning-Based Action Modelling / Input Modelling / 2D Non-LLM-based Vision Language Action Models

视觉语言动作数据增强语言条件机器人学习操作
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