ⓘ Detailed Overview

Marvelmind's submaps feature solves a fundamental challenge in indoor positioning: scaling accurate RTLS across massive facilities without sacrificing precision or creating dead zones. This live performance demo showcases ±2cm accuracy maintained while transitioning between multiple submaps—critical for autonomous indoor robots, warehouse drones, and forklift tracking systems operating across entire plants. Submaps divide large environments into logically mapped regions, enabling soft handovers that maintain continuous positioning accuracy. The technology is particularly valuable for warehouse automation, where forklifts and autonomous vehicles must navigate seamlessly across loading docks, aisles, and multi-level facilities. By implementing submaps, organizations can build enterprise-scale indoor positioning systems without the traditional trade-off between coverage area and positioning precision. The approach simplifies installation and calibration while reducing the complexity of managing massive coordinate spaces.