Mobile Robot (AGV/AMR) Motion & Navigation Industrial Logistics & Supply Chain
MilliTrack Introduces AMR+ for Enhanced Robot Navigation Using Millimeter Wave Technology
Original from leaderobot.com: MilliTrack Enhances Robot Navigation with Millimeter Wave Technology

MilliTrack Introduces AMR+ for Enhanced Robot Navigation Using Millimeter Wave Technology

MilliTrack, a South Korean startup, has developed AMR+, an additional positioning system that utilizes millimeter wave radio signals to enhance robot navigation in challenging environments. Traditional systems relying on cameras and LiDAR often fail in dusty, foggy, or brightly lit conditions, which are common in industrial settings. AMR+ supplements existing navigation systems without replacing them, providing a more reliable source of location data.

The significance of AMR+ lies in its ability to improve the accuracy of autonomous mobile robots (AMRs) in environments where conventional SLAM (Simultaneous Localization and Mapping) becomes unreliable. MilliTrack claims that AMR+ can achieve a positioning accuracy of 3 centimeters within a 30-meter range, with a latency of less than 100 milliseconds. This dual-layer positioning approach allows robots to switch between their existing navigation systems and AMR+ as needed, ensuring continuous operational reliability.

Looking ahead, MilliTrack plans to launch AMR+ in March 2027, with an expected price of around $1,000 for a tracker and a tag, and $200 for additional tags. The technology has already been deployed in over 30 projects in South Korea, demonstrating its potential to enhance industrial robot navigation without the need for extensive infrastructure changes. No further timeline was disclosed at the time of publication.

Editor's Note

The introduction of MilliTrack's AMR+ highlights a growing trend in the robotics industry towards hybrid navigation systems that leverage multiple technologies. As industrial environments become more complex, the ability to integrate various positioning methods will be crucial for enhancing operational efficiency and reliability. This development may influence procurement strategies for companies looking to optimize their robotic fleets.

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