AgiBot Releases Embodied Agent Framework Genie Master
AgiBot has officially released its embodied Agent framework Genie Master. During its deployment in a real convenience store, the Genie G2 equipped with this framework does not rely on manual demonstrations or debugging; it can independently identify the causes of failures, adjust strategies, and accumulate experience, continuously improving on multiple complex and fine-grained tasks to achieve continuous self-evolution with no human in the loop. The original article states that this is the industry's first validation of Physical RSI (embodied recursive self-improvement) outside of simulation environments and in real business scenarios.
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The original article describes how the framework autonomously identifies the causes of failures and adjusts its strategies in a real convenience store scenario, allowing readers to understand how embodied agents can be deployed without manual debugging.
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People's Financial News, October 27 (Report) — On October 27, AgiBot officially released the embodied Agent framework Genie Master, enabling robots to unlock new skills while on the job. The Genie G2 equipped with this framework, during its deployment at a real convenience store, does not rely on manual demonstration or debugging; it locates the causes of failures on its own, adjusts strategies, and accumulates experience, achieving continuous improvement across multiple complex and delicate tasks and realizing "human-out-of-the-loop" continuous self-evolution. This is the industry's first time stepping out of simulation environments and out of the laboratory, and the first validation of Physical RSI (embodied recursive self-improvement) in a real business scenario.