Marvelmind Robotics :: Ultra-Precise Indoor Positioning Systems (IPS) & Real-Time Location Systems (RTLS)

Marvelmind Robotics is an autonomous robotics company specializing in ultra-precise indoor positioning systems (IPS) and real-time location systems (RTLS) with ±2cm accuracy. Founded in 2005 in Helsinki, Finland, and now headquartered in Tallinn, Estonia, with R&D, support offices in multiple countries, and production and logistics based in Shenzhen, China, the company has been commercially active since 2014. Marvelmind Robotics serves over 600 customers across more than 50 countries and focuses on providing reliable, scalable, and cost-effective indoor “GPS” alternatives that outperform UWB (10x more accurate) and BLE/WiFi (100x more accurate) for demanding applications. Its ultrasound-based technology, combined with IMU sensor fusion, delivers low-latency, real-time XYZ coordinates via USB, UART, SPI, CAN, or UDP, with full native support for ROS and ROS2. The system is versatile for autonomous robots, drones, AGVs, forklifts, cranes, boats, and personnel tracking in warehouses, factories, research labs, universities, and industrial facilities. It supports easy 5-minute deployments for small setups, scales to thousands of mobile objects via Multi-Modem Architecture, works indoors and outdoors, requires no floor modifications, and offers rapid worldwide shipping (same or next day for most products) with comprehensive technical support, customization, white-label options, and training. Key advantages include high accuracy independent of lighting or speed, no cloud dependency, and proven performance in harsh industrial environments.

Marvelmind Robotics’ robot-based products center on its proprietary indoor positioning system that enables precise autonomous navigation, tracking, and coordination. The core offering includes beacons (stationary anchors and mobile tags/hedgehogs), modems, and software that create robust RTLS networks. Stationary beacons mount on walls or ceilings, while mobile beacons attach to robots for real-time localization. Architectures such as Non-Inverse Architecture (NIA), Inverse Architecture (IA), and Multi-Frequency NIA support various configurations, including 2D/3D tracking, location plus direction via paired beacons, and large-scale submap coverage for areas up to hundreds of thousands of square meters. IMU sensor fusion provides fast, low-latency positioning for dynamic objects.

For autonomous mobile robots (AMRs) and AGVs, Marvelmind Robotics supplies complete solutions for warehouse delivery, intralogistics, and industrial transport. The company offers its own autonomous delivery robots, including the v100 (payload up to 100kg, 16+ hours runtime, automatic obstacle avoidance) and the newer Boxie/Boxie 2 series for compact office and factory delivery. These robots integrate the IPS directly, using coordinates for waypoint navigation, path planning, and swarm coordination. The system supports up to 250 simultaneously tracked mobile objects with individual ±2cm accuracy and integrates seamlessly with existing fleet management via open APIs. Applications include automated scanning and inspection (e.g., barcode/QR/RFID reading with precise georeferenced logging), inventory management, and safety geo-fencing.

The technology extends to research and education with Starter Sets like the versatile Super-MP-3D, which supports multiple architectures, up to 1000m² coverage, and easy expansion. These kits are popular in universities for swarm robotics, autonomous navigation research, sensor fusion experiments, and competitions. Additional robot-oriented products include accessories, licenses, and customized software for specific integration needs. The system’s flexibility allows sensor fusion with odometry, LIDAR (for obstacle avoidance only), and vision systems, enabling reliable performance even with temporary ultrasound shadows.

Marvelmind Robotics also provides indoor drone solutions, forklift tracking, and specialized setups for automated inspection robots that replace manual scanning tasks with consistent, data-rich operations. Its practical, field-proven approach — emphasizing robustness, scalability, and real-world industrial deployment over pure research complexity — positions the company as a leader in accessible high-precision indoor autonomy. With ongoing innovations in IMU fusion, multi-modem scaling, and fully autonomous drone integration (including DJI platforms in 2024), Marvelmind Robotics continues to enable safer, more efficient, and smarter robotic operations across logistics, manufacturing, research, and beyond.