Spatial Memory Agent: Experience-Grounded Procedure Memory for Spatial Intelligence

Spatial intelligence is becoming a foundation for embodied agents, robotic planning, and multimodal assistants. To improve the spatial reasoning ability of VLM agents, existing work has mainly followed two lines. One line uses post-training methods, such as supervised fine-tuning and reinforcement learning. Another line adopts an agentic paradigm in which the model calls external spatial tools, such as depth estimation and 3D reconstruction tools, to gather intermediate spatial evidence. We stud

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ethics.ai (12 August 2026), “Spatial Memory Agent: Experience-Grounded Procedure Memory for Spatial Intelligence,” evidence record 19140, https://ethics.ai/record/19140 (originally published by HuggingFace Daily Papers).

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