Spatial Memory Agent: Experience-Grounded Procedure Memory for Spatial Intelligence
Zhejiang University
A parameter-update-free self-evolution framework for frozen VLM agents in spatial reasoning: queries the frozen VLM, obtains a verifier reward, and distills verified spatial experience into reusable transferable lessons, each with a Transfer Reliability Score calibrated from later retrieval outcomes. Across five spatial benchmarks and four base VLMs, SMA achieves the highest macro-average in every base-model block without expert spatial tools at inference time.
Why it matters
Demonstrates that frozen VLMs can improve spatial reasoning purely through verified experience memory, without post-training or specialist tool calls at inference; HF Daily +30 upvotes.
Importance: 3/5
notable research paper (default base 2)
Sources
official
arXiv 2608.12743