HomeElectronics NewsMCUs Bring Edge AI Into Embedded Control

MCUs Bring Edge AI Into Embedded Control

Can one MCU platform handle AI sensing, robotics, and high-speed motors? Demonstrations show how edge intelligence is moving closer to the hardware.

Artery Technology Showcases at D Forum 2026 — AT32 MCUs Drive Edge Intelligence into a New Era
Artery Technology Showcases at D Forum 2026 — AT32 MCUs Drive Edge Intelligence into a New Era

Artery Technology demonstrated microcontroller-based solutions for edge AI sensing, robotic motion control, and server cooling at the D Forum 2026 Microcontroller Forum in Taipei. The demonstrations centred on its AT32 MCU platform and covered applications ranging from AI-enabled sensors and robot joints to high-speed cooling fans for AI data centres.

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The platform targets embedded systems where processing, sensing, control, and connectivity need to be handled close to the point of operation. This approach can reduce reliance on external processing while enabling real-time responses in applications such as equipment monitoring, robotic systems, and intelligent motor control.

For edge AI development, the AT32 Edge AI Sensor EV Board works with AT32 AI Studio to provide a workflow covering data collection, model training, optimisation, and MCU deployment. The platform supports ToF and IMU sensors for applications including gesture recognition, motion classification, and equipment anomaly detection.

For robotics, the AT32F435/437 MCU series is available in a 7 × 7 mm BGA100 package for space-constrained control modules. The AT32M416 motor-control MCU combines CAN-FD, high-resolution PWM, a 12-bit ADC, DSP/FPU capabilities, and magnetic encoder feedback for closed-loop control of robot joints and other motor-driven systems.

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The company also demonstrated a server cooling fan design integrating an MCU, gate driver, and DC-DC converter in a 4 × 4 mm QFN32 package. Its field-oriented control algorithm is designed to improve motor stability while reducing noise and vibration, including during operation against reverse airflow.

Artery also previewed AT32F406/408 and AT32F403E/407E MCUs based on Arm Cortex-M4F cores, with processing speeds of up to 216 MHz and 320 MHz, respectively, alongside high-speed interfaces for embedded control and data-processing applications.

Click here for the official announcement.

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Saba Aafreen
Saba Aafreen
Saba Aafreen is a Tech Journalist at EFY who blends on-ground industrial experience with a growing focus on AI-driven technologies in the evolving electronic industries.

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