Indoor Positioning Demo | Marvelmind MWC 2018

Product Demos

Indoor Positioning Demo | Marvelmind MWC 2018

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📅 2018-03-01

Indoor Positioning Demo | Marvelmind MWC 2018

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For more information, please contact: info@marvelmind.com

What This Video Covers

This live demonstration from Mobile World Congress 2018 reveals Marvelmind's indoor positioning system delivering ±2cm tracking accuracy. The video captures real-time performance of an ultrasonic indoor navigation system capable of precise robot localization. Key takeaway: Marvelmind's RTLS technology provides enterprise-grade indoor tracking suitable for autonomous robots, warehouse automation, and indoor drone operations—eliminating GPS dependency in controlled environments.

Key Takeaways

  • Marvelmind achieves ±2cm indoor tracking accuracy in live production environments—validated at MWC 2018
  • Ultrasonic RTLS eliminates GPS dependency, enabling precise autonomous robot and drone navigation indoors
  • Real-time positioning supports simultaneous tracking of multiple assets: robots, drones, and forklifts
  • System reliability proven at enterprise scale—suitable for mission-critical warehouse automation
  • Centimeter-level accuracy enables advanced autonomous navigation, task automation, and asset management

👥 Who Should Watch This

Robotics engineers, warehouse automation managers, and integrators evaluating indoor positioning solutions. This demo showcases how ultrasonic-based RTLS achieves centimeter-level accuracy for autonomous indoor robot navigation, indoor drone systems, and forklift tracking without relying on GPS or external infrastructure.

? FAQ

Q: What accuracy does the Marvelmind indoor positioning system achieve?
The system delivers ±2cm tracking accuracy in live demonstrations, making it suitable for precise autonomous robot navigation and warehouse automation applications.
Q: How does ultrasonic indoor positioning compare to UWB or GPS alternatives?
Ultrasonic RTLS provides reliable indoor tracking without GPS signal, with excellent accuracy for warehouse environments. Check our detailed comparison and line of sight requirements documentation for specific use cases.
Q: Can this indoor positioning system track forklifts and autonomous vehicles simultaneously?
Yes. Marvelmind's RTLS scales to track multiple assets—robots, drones, and forklifts—in the same indoor environment with consistent ±2cm accuracy.
Q: What infrastructure setup is required for precise indoor tracking?
Our Indoor Positioning System Planning guide covers beacon placement, line of sight requirements, and implementation steps. Contact our team for site assessment and deployment planning.
Q: Is indoor positioning viable for large warehouses with complex layouts?
Yes. Our Building Submaps Guide explains extending coverage across multiple zones and handling challenging warehouse geometries with consistent navigation accuracy.

Detailed Overview

The MWC 2018 live tracking demonstration showcases Marvelmind's ultrasonic indoor positioning system delivering ±2cm accuracy in real-world conditions. This product demo illustrates how precise indoor RTLS technology enables autonomous robots, warehouse automation systems, and indoor drone navigation without external GPS infrastructure. The demonstration was conducted at Barcelona's Mobile World Congress, Europe's largest technology event, highlighting Marvelmind's competitive positioning in the indoor location tracking market. The system's performance metrics prove that centimeter-level indoor positioning is achievable through advanced ultrasonic technology. For enterprises implementing autonomous indoor robots, forklift tracking systems, or drone navigation in GPS-denied environments, this demo validates the technical capability and reliability of Marvelmind's indoor navigation system. The presentation emphasizes real-time tracking performance critical for warehouse automation, autonomous vehicle guidance, and IoT asset localization. Organizations planning indoor positioning system deployment benefit from observing actual system behavior, accuracy validation, and operational characteristics that determine RTLS success in production environments.

# Topics

indoor positioningindoor trackingRTLSprecise trackingindoor navigationmwc 2018autonomous robotswarehouse automation

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For more information, please contact: info@marvelmind.com
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