Marvelmind Jacket: Robot & Drone Positioning | Marvelmind
Video Overview & Technical Details
The Marvelmind Jacket is a wearable ultrasonic positioning module that achieves ±2cm tracking accuracy for indoor and outdoor environments. Designed for autonomous robots, drones, and mobile assets, it integrates seamlessly into warehouse automation and RTLS applications. This compact solution enables precise indoor GPS-alternative navigation where traditional outdoor positioning systems fail.
Transcript
The Marvelmind Jacket is a wearable ultrasonic positioning module that achieves ±2cm tracking accuracy for indoor and outdoor environments. Designed for autonomous robots, drones, and mobile assets, it integrates seamlessly into warehouse automation and RTLS applications. This compact solution enables precise indoor GPS-alternative navigation where traditional outdoor positioning systems fail.
0:01 Hello colleagues. Today we are showing our new version of Marvelmind jacket. So my online jacket is a vest effectively that can be tracked with two-centimeter precision. An alternative for the jacket is helmet and badge. We'll be discussing them later. So the jacket consists of the main element which is the Mini-RX, but it's more than just Mini-RX. I mean, it's clipped with a special holder, and additionally it has a sensor inside. So one sensor here, one sensor here, and inside, if you can check, there's a cable connecting. So effectively, it's done in order to minimize
1:00 the impact of obstruction by your own body. So it means that the signal, ultrasonic signal, can be received either from this side by this sensor or from this side by this sensor. And effectively, it means that in this direction you don't see, because your own neck prevents it—you don't see this—but then this sensor will be saying from this side. This sensor is not seen, but this is taking. So effectively, it increases the chances to get the data in all the conditions. So either one of these or both will be taken and received. So one more time: this is the new jacket bar by Marvelmind Robotics. Thank you.
Key Takeaways
- ±2cm accuracy enables centimeter-level precision for autonomous robot and drone navigation
- Works in GPS-denied indoor and outdoor environments without line-of-sight limitations
- Compact wearable design integrates easily into existing robotic platforms
- Ideal for warehouse automation, forklift tracking, and RTLS applications
- Ultrasonic technology provides reliable positioning alternative to UWB or indoor GPS
Relevant For: Engineers & System Designers
Operations managers, roboticists, and warehouse automation engineers seeking precise indoor tracking solutions. This product solves the critical challenge of achieving centimeter-level accuracy for autonomous mobile robots and drones operating in GPS-denied indoor environments.
FAQ
Technical Background & System Details
The Marvelmind Jacket represents a breakthrough in indoor positioning technology, delivering ±2cm accuracy for autonomous systems operating in GPS-denied environments. Unlike conventional UWB or indoor GPS solutions, the Jacket leverages ultrasonic positioning to provide reliable, real-time location tracking suitable for indoor drones, autonomous mobile robots, forklifts, and warehouse automation systems. The compact wearable design allows seamless integration into existing robotic platforms without requiring significant hardware modifications. This product addresses critical industrial challenges: precise RTLS for inventory tracking, safe autonomous robot navigation in warehouses, and reliable indoor drone operations in controlled environments. The Jacket's ±2cm precision far exceeds typical indoor positioning systems, enabling advanced applications like collision avoidance, path optimization, and real-time asset monitoring. Whether deploying autonomous forklifts, coordinating multiple indoor drones, or building sophisticated warehouse automation ecosystems, the Jacket provides the submeter accuracy essential for safe, efficient operations. Marvelmind's ultrasonic-based approach eliminates common pain points associated with competing indoor navigation technologies.
Related Resources
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