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SERA: A Self-Evolving Robotic Agent Framework for History-Dependent Manipulation

The paper proposes SERA (Self-Evolving Robotic Agent), which organizes a high-level VLM as a robotic agent with an editable harness, paired with a fixed VLA executor for low-level control, to handle non-Markovian dependencies in long-horizon manipulation.

Part of the event: Tingwen Du et al. propose the SERA self-evolving robotic agent framework

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