Unverified50% confidenceFactExact time
Embodied intelligence is giving rise to a brain-plus-cerebellum technical architecture: large language models or vision-language models handle high-level task planning, while motion policies trained via reinforcement learning handle low-level motion control.
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8/29/2026
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Unverified具身智能的工程落地依赖强化学习、模仿学习与大模型的协同72% similarVerifiedThe core architecture of an agent can be summarized as: Agent = Large Language Model (LLM) + Tools + Memory + Task Scheduling.72% similarUnverifiedThe core architecture of programming agents typically includes a perceive-plan-execute-reflect loop mechanism.70% similarUnverifiedIn a layered agent architecture, the top-level orchestration agent is responsible for decision-making and uses a powerful model, while the bottom-level execution agents handle repetitive work using mid-tier models.70% similarUnverifiedPlanning capability relies on large language model Chain-of-Thought (CoT) reasoning, tool invocation is implemented via Function Calling or plugin mechanisms, and the orchestration layer plays the role of a workflow engine.69% similar
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