In the era of rapidly advancing intelligent manufacturing and logistics automation, Autonomous Mobile Robots (AMR) have become essential equipment in factories, warehouses, medical institutions, and commercial delivery scenarios. As the "brain" of an AMR, the performance, interface capabilities, and stability of the controller directly determine the overall efficiency and reliability of the robot. In recent years, ARM-based industrial controllers have gradually become the mainstream computing platform for AMRs due to their advantages in low power consumption, high performance, and strong scalability.

Why ARM Industrial Controllers Are the Optimal Choice for AMRs

Superior Energy-Efficient Computing Power, Ideal for Complex SLAM and Vision Algorithms AMR navigation heavily relies on SLAM, LiDAR point cloud processing, path planning, and visual recognition. ARM controllers based on multi-core A76/A55 architectures or equipped with high-performance NPUs deliver powerful computing capability while maintaining lower power consumption, achieving an ideal balance between battery life and computational demands.
Low-Power Advantage in Battery-Powered Scenarios Fully battery-driven AMRs are extremely sensitive to power consumption. The inherently low-power nature of ARM platforms significantly reduces overall energy use, extending operating time between battery swaps or charges.
Industrial-Grade Design for Harsh Environments ARM industrial controllers feature:
- Wide operating temperature range (−20°C to 70°C)
- Shock and vibration resistance with strong anti-interference design
- 7×24-hour long-term stable operation Making them highly suitable for complex environments such as warehouses, high-temperature production lines, and outdoor delivery.
Rich Interfaces to Support Diverse Sensors and Motor Drivers AMRs have complex chassis structures requiring simultaneous acquisition and control of multiple devices. Typical ARM industrial PCs provide:
- CAN/CANopen for wheel hub motors and servo drives
- RS485/RS422 for encoders and depth sensors
- Gigabit/Dual-Gigabit Ethernet for LiDAR and depth cameras
- DI/DO for limit switches, obstacle detection, and emergency stop signals
- 4G/5G/Wi-Fi 6 for remote communication Fully covering all hardware interface requirements of AMRs.
Real-Time Control Capability AMR chassis control demands millisecond-level control loops. ARM controllers support:
- Linux PREEMPT-RT real-time kernel
- EtherCAT master station (depending on platform)
- Dual-domain real-time control in cooperation with MCU Ensuring smoother motion, precise steering, and rapid response.

AMR System Architecture and the Role of ARM Controllers

A typical AMR consists of four core modules:

Perception System Includes LiDAR, depth cameras, IMU, encoders, etc. The ARM industrial controller performs sensor data fusion and synchronization, providing stable input for the navigation system.
SLAM and Path Planning (Navigation System) The controller handles:
- Real-time laser/visual SLAM mapping
- Localization using AMCL or Cartographer
- Path planning (DWA, A*, TEB)
- Dynamic obstacle avoidance High-performance ARM platforms can run ROS2 Nav2 and lightweight AI models to achieve precise navigation.
Chassis Motion Control The ARM controller achieves precise motion through:
- CANopen control of wheel hub motors
- EtherCAT control of servo drives
- Synchronous feedback from encoders and IMU Ensuring smooth movement, accurate steering, and fast response.
Task Scheduling and Cloud Management Connected via Wi-Fi, 4G, or 5G to fleet management platforms, enabling:
- Multi-robot fleet scheduling
- Real-time location monitoring
- Integration with factory MES/ERP systems
- OTA firmware updates The ARM controller serves as both the brain of the AMR and the bridge to cloud systems.

Key Advantages Summary of ARM Industrial Controllers in AMRs

Advantage	Description
High Energy Efficiency	Average power consumption >50% lower than x86 platforms
High-Performance Computing	Supports SLAM, point cloud processing, and AI inference
Industrial-Grade Reliability	Wide temperature range, shock/vibration resistance, strong anti-interference
Rich Interfaces	CAN, RS485, EtherCAT, DI/DO, MIPI, Gigabit Ethernet, etc.
ROS/ROS2 Ecosystem Support	Seamless integration with mainstream robotics frameworks
Lower Cost	Significantly reduces overall BOM cost

Typical Application Scenarios

Intelligent Warehouse & Logistics Robots Bin/shelf recognition, rack transport, tote handling
Factory Production Line Delivery AMRs Automatic material replenishment, WIP transfer
Medical Delivery Robots Drug and specimen delivery, contactless intra-hospital transport
Commercial Service AMRs Automatic delivery in malls/hotels, food service transport
Composite Robots (AMR + Robotic Arm) Automatic loading/unloading, collaborative factory operations

Recommended ARM Industrial Controller Platforms for AMRs

Model	SoC	Key Features	Recommended Applications
BL450	RK3588	High-performance NPU, rich interfaces	Vision navigation, heavy-duty SLAM robots
BL440	RK3576	Integrated CAN/RS485/DI/DO, balanced performance	General-purpose AMR control
BL410	RK3568	Cost-effective, sufficient computing power	Light-load AMRs, budget-sensitive projects
BL460	CM5	Ultra-low power, high reliability	Entry-level AMRs, small logistics robots

Conclusion

With outstanding performance, low power consumption, rock-solid stability, and excellent scalability, ARM industrial controllers are becoming the core computing platform in the AMR field. From smart warehousing to industrial delivery, from hospital logistics to composite robots, ARM-based solutions continue to drive mobile robots toward higher efficiency, greater intelligence, and lower overall cost.