ScholarWorks@동국대학교

초록

Indoor positioning has diverse applications in public safety, industry, and healthcare [ 1 ]. This paper presents a robot-assisted data collection method to overcome the inefficiencies of conventional smartphone-based approaches in indoor positioning. By integrating advanced hardware and software optimizations, the robot achieves efficient and comprehensive Wi-Fi RSSI (Received Signal Strength Indicator) data acquisition at reference points (RPs). Experimental results demonstrate that the robot-assisted system achieves a positioning accuracy of 91.92 %, improving accuracy by 1.8 % compared to the smartphone-based method [ 2 ], while reducing data collection time by 59 %. The results validate the proposed method’s efficiency, systematization, and effectiveness in improving indoor positioning. © 2025 The Authors.

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