AI

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

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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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