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建設ロボット/タスク計画arXiv:2402.03602

4D BIMとロボットタスク計画の統合:屋内壁フレーム設置の行動レベルシミュレーションのための建設関連情報の生成と流れ

Integration of 4D BIM and Robot Task Planning: Creation and Flow of Construction-Related Information for Action-Level Simulation of Indoor Wall Frame Installation

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4D BIMモデルにロボット知識ベースを組み込み、建設現場の文脈を考慮したロボットタスク計画と詳細シミュレーションを可能にする統合フレームワークを提案し、屋内壁フレーム設置のケーススタディで有効性を示した。

著者: Hafiz Oyediran, William Turner, Kyungki Kim, Matthew Barrows

分類: cs.RO

原文アブストラクト

An obstacle toward construction robotization is the lack of methods to plan robot operations within the entire construction planning process. Despite the strength in modeling construction site conditions, 4D BIM technologies cannot perform construction robot task planning considering the contexts of given work environments. To address this limitation, this study presents a framework that integrates 4D BIM and robot task planning, presents an information flow for the integration, and performs high-level robot task planning and detailed simulation. The framework uniquely incorporates a construction robot knowledge base that derives robot-related modeling requirements to augment a 4D BIM model. Then, the 4D BIM model is converted into a robot simulation world where a robot performs a sequence of actions retrieving construction-related information. A case study focusing on the interior wall frame installation demonstrates the potential of systematic integration in achieving context-aware robot task planning and simulation in construction environments.

PR本紙発行元 EmplifAI