MemoAct: Why Robot Memory Needs Both a Scratchpad and an Archive

from Embodied AI 101 Hosted by Shaoqing Tan

MemoAct: Atkinson–Shiffrin-Inspired Hierarchical Memory-Augmented Policy for Robotic Manipulation In this episode of Embodied AI 101, we explore "MemoAct: Why Robot Memory Needs Both a Scratchpad and an Archive". We break down the research, methodology, and real-world implications for robotics, AI, and physical intelligence. Embodied AI 101 covers the latest research at the intersection of AI and physical intelligence — robotics, manipulation, world models, and the path from digital intelligence to embodied agents.

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

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MemoAct: Why Robot Memory Needs Both a Scratchpad and an Archive

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This episode is 34 minutes long.

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This episode was published on September 1, 2026.

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