MAFC ‐Driven Dynamic Layout Transformation System for Reconfigurable Furniture

ABSTRACT Static furniture cannot meet the requirements of multifunctional layout design. Although autonomously reconfigurable furniture presents a viable solution, current systems demonstrate limited capability in coordinating large‐scale multi‐furniture movements within complex indoor settings. To address these challenges, we present a hierarchical layout transformation system featuring: (1) A context‐aware navigation strategy that integrates adaptive navigation radius optimization and orientation‐aware rotation control, enabling efficient and safe maneuvering of large‐scale furniture in indoor environments; and (2) the Multi‐Agent Furniture Coordination (MAFC) algorithm with dynamic priority adjustment and deadlock resolution, ensuring reliable and collision‐free multi‐furniture movement. Experimental results show improved performance over traditional navigation‐based approaches in terms of coordination reliability and path adaptability. Compared to state‐of‐the‐art methods, our system demonstrates enhanced capability in managing large‐scale furniture movement under spatial constraints, enabling robust layout transformations for smart indoor environments.