Indoor positioning technology estimates the spatial coordinates of humans and robots by leveraging sensor data such as accelerometer signals from smartphones and Wi-Fi signal measurements. It has broad applications in indoor navigation, smart factories, and beyond. At the Real-World Intelligence Laboratory, we conduct research on multimodal indoor positioning, integrating not only inertial and Wi-Fi data but also audio signals and GPS signals observable indoors, enabling more robust and accurate localization in real-world environments.