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Agibot (AGIBOT) has unveiled the Lifelong Embodied Intelligence Framework (LIFE), which integrates continuous perception, long-term memory, and capability reuse. The framework enables robots to acquire environmental information during task execution and between tasks, and to leverage historical observations to inform subsequent decision-making. LIFE consists of three components: the RoboBeats lightweight decision model, the Plastic Memory module for adaptive memory, and the EDM capability reuse mechanism. The LIFE paper and project homepage are now publicly available, and the RoboBeats model weights across multiple parameter scales, inference code, and SSS-Bench evaluation resources have been open-sourced simultaneously, offering support for developers researching continuous robot perception and experience utilization.
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