Hierarchical Building-Floo-Room Framework for Privacy-Preserving Autonomous Delivery in Large-Scale Buildings
Hierarchical Building-Floo-Room Framework for Privacy-Preserving Autonomous Delivery in Large-Scale Buildings
This research presents a hierarchical delivery framework based on a Building-Floor-Room abstraction to address challenges in autonomous delivery within large-scale buildings. The authors propose a building-aware extension of the capacitated vehicle routing problem (CVRP) that models inter-building and inter-floor connectivity, room-level access constraints, and privacy-sensitive areas. At the execution level, a novel hardware design supports non-interactive, privacy-preserving delivery using reachability-aware distances and a closed-loop mapping, localization, and navigation system. The framework is validated on a real multi-sensor robotic platform, demonstrating reliable multi-floor delivery with improved path rationality and overall efficiency.
The paper proposes a hierarchical Building-Floor-Room framework validated on a real multi-sensor robotic platform, addressing privacy constraints and multi-floor routing in large-scale buildings.
Source: arXiv Robotics — research abstracts · Read original article ↗
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vel, we introduce a novel hardware design for non interactive, privacy preserving delivery, supported by reachability aware distances and a closed loop mapping, localization, and navigation system, ensuring consistency between planned routes and physical navigation. The proposed framework is validated on a real multi sensor robotic platform, demonstrating reliable multi floor delivery with improved path rationality a
Open source S5
arXiv:2610.21361v2 Announce Type: replace Abstract: Autonomous delivery in large scale buildings requires coordinated planning across multiple spatial levels, including building, floor, and room, while ensuring scheduling efficiency. Existing methods often focus solely on algorithmic development, neglecting integration with physical robotic platforms, and rarely validate performance in real world scenarios. Many appr
Open source S2
Source：arXiv Robotics — research abstracts · arxiv.org