统一框架下的具身多模态推理：让AI放下海德格尔的锤子丨自变量机器人

Core Insights - The article emphasizes the need for a paradigm shift in AI development from modular systems to a unified architecture that enables embodied intelligence [3][21]. Current Paradigm Limitations - Existing methods treat different modalities as independent modules, leading to representation bottlenecks and loss of critical details during information transfer [5][21]. - The modular design hinders the model's ability to learn intuitive causal relationships in the physical world, which requires an integrated understanding rather than modular knowledge [5][21]. Unified Architecture: From Division to Integration - The proposed unified modality architecture aims to process perception, reasoning, and action simultaneously within a single computational framework, akin to human cognition [7][21]. - This architecture utilizes unified representation learning, converting all modality information into a shared high-dimensional token sequence, eliminating artificial boundaries between modalities [7][9]. Emergent Capabilities: Embodied Multimodal Reasoning - The unified architecture unlocks comprehensive embodied multimodal reasoning capabilities that current modular systems cannot achieve [11][21]. - The system can perform symbolic-spatial reasoning, understanding complex geometric patterns and translating them into physical actions [13][14]. - It also demonstrates physical spatial reasoning, allowing the robot to understand the implications of actions on structural stability and predict outcomes based on engineering logic [15][21]. - The architecture supports autonomous exploration with reasoning chains, integrating perception, memory, reasoning, and action seamlessly [16][21]. Conclusion - The transition to a unified architecture allows robots to interact with the physical world fluidly, merging perception, understanding, and action without the delays and losses associated with modular systems [21][22]. - This evolution is essential for developing AI that can perform cross-modal causal reasoning and spatial logic, ultimately achieving embodied intelligence [22].