Cloud-Driven Robot Action Sequences Generated by Large Language Models - Sitong Mao

⏯LLM作为机器人大脑：由大型语言模型生成的云驱动机器人动作序列 | LLM as a Robotic Brain: Cloud-Driven Robot Action Sequences Generated by Large Language Models - Sitong Mao, Huawei Cloud 【KubeEdge @KubeCon 2023】

👉Embodied AI is vital in robotics, requiring the generation of coherent action sequences for robots to perform tasks in physical environments. Large foundation models have gained interest in generating plans by processing natural language instructions and environmental observations. High-performance large language models, such as Stanford Alpaca, have opened up possibilities in related technical fields. Challenges remain in achieving unified behavior definition and balancing resource conflicts between large models and edge robots. To address these, our cloud-native technology interest group proposes RoboPilot, an open-source project in the KubeEdge community. It combines large language models with edge-cloud collaboration, enabling flexible deployment and execution of real-world robots in open environments. This research highlights edge-cloud collaboration's potential in enabling advanced robot capabilities and advancing cloud-native robotics research.

💡KubeEdge是业界首个云原生边缘计算框架、云原生计算基金会内部唯一孵化级边缘计算开源项目,社区已完成业界最大规模云原生边云协同高速公路项目（统一管理10万边缘节点/50万边缘应用）、业界首个云原生星地协同卫星、业界首个云原生车云协同汽车、业界首个云原生油田项目，开源业界首个分布式协同AI框架Sedna及业界首个边云协同终身学习范式，并在持续开拓创新中。

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