TBNAI
Large language model and reinforcement learning based autonomous construction and progress updates
Publication: cs.AI updates on arXiv.org
Author: Yifei Xiao, Huasheng Lin, T. Y. Yang
Source published: 21/10/2026, 04:00:00 UTC
Briefing created: 21/10/2026, 04:07:41 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 21/10/2026, 04:03:24 UTC.
Briefings
A new autonomous construction method combines large language models with reinforcement learning to control mobile cranes and update construction progress. The system uses a customized embedding model to extract environmental data and ChatGPT 5 to generate safety reports and progress updates. Feasibility was verified through full-scale retaining wall construction experiments.
Key points
- The proposed method integrates large language models with reinforcement learning to autonomously control mobile cranes for construction tasks.
- A customized embedding model extracts information from the construction environment based on user interests, while ChatGPT 5 updates progress and provides safety information.
Context
This research addresses the housing demand gap caused by rapid global population growth, proposing an intelligent construction solution verified by full-scale retaining wall experiments.
Limitations
Feasibility was verified through full-scale retaining wall construction experiments, and the study relies on preprint data from arXiv without peer review.
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