Papers/2610.26899
🧪 Test?View on arXiv

Large language model and reinforcement learning based autonomous construction and progress updates

Not specified

reinforcement learningautonomous constructionlarge language models
2610.26899
Builder Relevance
80%
2h ago

Abstract

This study proposes a method for autonomous construction using large language models and reinforcement learning to enhance building processes.

Reality Card

Core Claim

The study successfully develops an enhanced soft actor-critic reinforcement learning algorithm to autonomously plan actions for a mobile crane in construction tasks.

Method / Result

Feasibility verified through several full-scale retaining wall construction experiments.

Limitations

The paper does not specify the authors or provide detailed reproducibility metrics.

Paper to code

Verified implementation resources so builders can test the paper’s claims instead of stopping at the abstract.

No verified implementation link has been attached yet. AIBuzzHub will keep this panel separate from unverified search results.
← Back to all papers