Indoor GPS for Autonomous Robots: ±2cm Tracking Demo | Marvelmind

Product Demos

Indoor GPS for Autonomous Robots: ±2cm Tracking Demo | Marvelmind

▶ 0:22
📅 2016-01-23

Indoor GPS for Autonomous Robots: ±2cm Tracking Demo | Marvelmind

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

What This Video Covers

This live demonstration showcases Marvelmind's ultrasonic indoor positioning system tracking two mobile beacons simultaneously with ±2cm accuracy. Using time division multiple access (TDMA), the system delivers approximately 8Hz update rates per beacon while maintaining centimeter-level precision. The setup uses stationary wall-mounted beacons transmitting to mobile units, with location data accessible via USB modem, UART, SPI, or I2C interfaces—ideal for autonomous robots, indoor drones, and warehouse automation.

Key Takeaways

  • Ultrasonic indoor positioning achieves ±2cm accuracy—100x more precise than typical WiFi-based systems
  • TDMA simultaneous tracking supports multiple autonomous robots and drones without position conflicts
  • Direct data access via USB, UART, SPI, I2C enables quick integration with robot control systems
  • Wall-mounted stationary beacons create infrastructure-based positioning unlike GPS or magnetic systems
  • Real-time updates at ~8Hz per beacon enable responsive autonomous navigation and fleet tracking

👥 Who Should Watch This

Robotics engineers, warehouse automation managers, and drone developers evaluating indoor positioning solutions. This demo addresses the critical need for centimeter-accurate location tracking of autonomous vehicles and robots that GPS cannot provide indoors, showing practical TDMA simultaneous tracking capabilities.

? FAQ

Q: How accurate is the indoor positioning system?
Marvelmind's ultrasonic system achieves ±2cm accuracy, proven in this live demonstration with simultaneous tracking of multiple mobile beacons.
Q: Can it track multiple robots simultaneously?
Yes. The system uses time division multiple access (TDMA) to track multiple mobile beacons concurrently, with each beacon receiving updates at ~8Hz after accounting for switching time.
Q: What interfaces does the system support?
Location data is accessible via USB modem (virtual UART), UART, SPI, or I2C connections, allowing direct robot integration without additional middleware.
Q: How are stationary beacons deployed?
Stationary beacons are wall-mounted to create a reference grid. The number and placement depends on your facility size and required coverage area.
Q: Is this suitable for warehouse forklifts and autonomous vehicles?
Yes. The ±2cm accuracy and multi-target tracking make it ideal for forklift tracking, autonomous indoor robots, and warehouse automation systems where GPS is unavailable.

Detailed Overview

Marvelmind's indoor positioning system demonstrates real-time tracking of two autonomous mobile beacons with ±2cm accuracy in this 22-second technical demonstration. The system employs ultrasonic time division multiple access (TDMA) technology to simultaneously track multiple moving targets indoors where GPS fails. Key technical aspects include: stationary beacon grid installation on walls providing reference points, mobile beacons transmitting position requests, and update rates of approximately 8Hz per beacon after accounting for system switching overhead. The location data streams from mobile beacons directly or via USB modem connected to PC, supporting multiple interface protocols (UART, SPI, I2C) for seamless robot integration. This real-time indoor GPS alternative solves the critical positioning challenge for autonomous robots, delivery drones, and warehouse automation systems that require centimeter-accuracy navigation in enclosed environments. The TDMA approach allows scalable multi-target tracking without position collisions, making it practical for warehouse fleets and autonomous vehicle swarms.

# Topics

indoor positioning systemindoor GPSautonomous robotsreal-time trackingultrasonic positioningRTLS demoindoor drone navigationwarehouse automation

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