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

Computer Science > Artificial Intelligence arXiv:2610.26899 (cs) [Submitted on 16 Oct 2026] Title: Large language model and reinforcement learning based autonomous construction and progress updates Authors: Yifei Xiao, Huasheng Lin, T.Y. Yang.

计算机科学 > 人工智能 arXiv:2610.26899 (cs) [提交于 2026 年 10 月 16 日] 标题：基于大语言模型和强化学习的自主施工与进度更新 作者：Yifei Xiao, Huasheng Lin, T.Y. Yang。

Abstract: Due to the rapid growth of the global population, traditional construction methods are gradually unable to meet the current housing demand. The advancement of machine learning algorithms has encouraged researchers to explore their applications in the construction industry, leading to more intelligent and efficient building processes.

摘要：由于全球人口的快速增长，传统的施工方法已逐渐无法满足当前的住房需求。机器学习算法的进步促使研究人员探索其在建筑行业的应用，从而带来了更智能、更高效的建筑流程。

In particular, the rise of large language models in recent years has provided more possibilities for the transformation from traditional construction to smart construction. In this study, a large language model and reinforcement learning based autonomous construction method is proposed.

特别是近年来大语言模型的兴起，为从传统施工向智慧施工的转型提供了更多可能性。本研究提出了一种基于大语言模型和强化学习的自主施工方法。

An enhanced soft actor-critic reinforcement learning algorithm is developed to plan actions for a mobile crane according to construction tasks. Robot kinematics and control algorithms are used to ensure that the actions generated by the reinforcement learning algorithm can be executed by the crane.

开发了一种增强型软演员-评论家（soft actor-critic）强化学习算法，用于根据施工任务规划移动起重机的动作。利用机器人运动学和控制算法，确保强化学习算法生成的动作能够由起重机执行。

In addition, a customized embedding model is developed to extract information from the construction environment according to user interests. Then, a large language model, ChatGPT 5, is used to update construction progress, provide safety information to control system, and generate construction progress reports.

此外，开发了一种定制的嵌入模型，根据用户兴趣从施工环境中提取信息。随后，利用大语言模型 ChatGPT 5 来更新施工进度、向控制系统提供安全信息，并生成施工进度报告。

The feasibility of proposed method is verified through several full-scale retaining wall construction experiments.

通过若干全尺寸挡土墙施工实验，验证了所提方法的可行性。