Advantech announced its latest AMR controllers: the AFE-R360 and AFE-R770.
Addressing the challenge of rising labor costs and an aging population, companies worldwide are seeking innovative solutions to optimize resources and remain competitive, making automation more essential than ever. The company reports that the AFE-R360 supports both depth and visible camera solutions for AMR vision, while the AFE-R770 integrates IMU sensors and anti-noise solutions from the design stage. Both products provide sensor-integrated solutions, ensuring hardware compatibility and offering software application packages to ease sensor integration challenges.
These two products are specifically designed for AMR controller applications, offering a compact design and ample I/O ports for sensor data. The AFE-R360 features a 3.5″ SBC, while the AFE-R770 is a compact system with dimensions of 215 x 200 x 55 mm. Both systems include multiple LAN and USB 3.2 ports for vision sensors and are equipped with 2 x CAN bus for battery and motor control. Additionally, they offer 4 x RS-232/422/485 ports for robotic sensors and support a wide power input range, making them adaptable to various charging configurations.
The company reports that vision sensors in most AMRs enable robots to navigate without colliding with obstacles or adapting to environmental changes effectively. The AFE-R360 supports up to 8 MIPI-CSI lanes for low-latency visible camera inputs; it also includes three LAN ports and three USB-C ports suitable for LiDAR, ToF (Time-of-Flight), as well as depth cameras.
To process high-resolution images efficiently while performing AI analysis tasks, Advantech has incorporated Intel’s latest Core™ Ultra Processor – Code Name: Meteor Lake – into their product line-up which delivers impressive performance metrics such as delivering up to thirty-two TOPs alongside twenty percent CPU improvement over previous iterations within this hybrid core processor family series featuring built-in NPU capabilities aimed at enhancing immersive graphics experiences whilst maintaining optimal balance between battery life versus overall device operational performances.
