The rapid adoption of Industry 4.0, smart manufacturing, and intelligent warehousing is accelerating the deployment of automated guided vehicles (AGV) and autonomous mobile robots (AMR) worldwide. Unlike conventional material handling equipment, today’s AGVs and AMRs are expected to navigate autonomously, avoid obstacles, communicate with factory management systems, and perform real-time decision-making with minimal human intervention.
To achieve these capabilities, modern mobile robots integrate multiple sensors—including cameras, LiDAR, IMUs, ultrasonic sensors, and encoders—while simultaneously executing localization, path planning, machine vision, and motion control. These workloads require compact embedded computing platforms capable of delivering reliable processing capabilities, deterministic responsiveness, low power consumption, and long-term product availability. As industrial environments continue to evolve, system developers increasingly favor modular computing architectures that simplify platform upgrades while reducing development costs and accelerating product deployment.
As AGV and AMR technologies become more sophisticated, the computing platform has become one of the most critical design considerations. Depending on system requirements, embedded developers may choose between single-board platforms and modular architectures.
For applications that benefit from hardware scalability and processor upgrade flexibility, computer-on-modules offer a practical path to improving computing performance while preserving application-specific carrier board designs, significantly reducing engineering effort and shortening time-to-market.
For AGV and AMR platforms, developers also require robust high-speed connectivity for multiple sensors and peripherals. Camera interfaces enable machine vision and object recognition, while CAN Bus remains a widely adopted communication interface for motor controllers, battery management systems, and industrial control devices. High-speed Ethernet supports fleet management and edge-to-cloud communication, while multiple PCIe lanes provide flexibility for additional AI accelerators, wireless modules, or custom I/O expansion. These requirements make computer-on-modules an increasingly attractive architecture for compact autonomous mobile systems.
Designed specifically for compact embedded systems, Portwell PCOM-BC00 combines Intel Atom® x7000E/RE Series processors with the flexibility of the SMARC 2.2 standard, providing an ideal computing foundation for modern, intelligent AGVs and AMRs.
Powered by Intel Atom® x7000E/RE processors with up to 8 CPU cores and a configurable 6W–15W TDP, PCOM-BC00 delivers an optimized balance between computing performance and energy efficiency, helping maximize battery life for autonomous mobile platforms. The module integrates up to 16GB onboard LPDDR5 memory and up to 256GB onboard eMMC 5.1, enabling fast boot times, reliable local storage, and responsive execution of navigation and control software.
Its extensive I/O configuration supports the diverse connectivity requirements of mobile robots, including 4 PCIe Gen3 x1, 2 USB 3.2 Gen2, 6 USB 2.0, dual 2.5GbE, 2 UART, SATA, and triple display outputs, anchored by a standard DP++ with SKU specific options for HDMI®/DP and eDP/LVDS. More importantly, the inclusion of MIPI-CSI support allows direct integration of compact industrial cameras for vision-based navigation, obstacle detection, barcode recognition, and AI inspection. The optional CAN bus interface further simplifies communication with motor drives, battery management systems, and motion controllers, reducing overall system complexity.
As factories continue their digital transformation, AGVs and AMRs are evolving from simple transportation equipment into intelligent mobile computing platforms capable of perception, communication, and autonomous decision-making. This evolution requires embedded computing solutions that combine high integration, industrial reliability, scalability, and long lifecycle support.
Portwell PCOM-BC00 SMARC 2.2 module addresses these challenges by integrating Intel Atom® x7000E/RE processors with modern industrial connectivity, power-efficient operation, and a highly modular architecture. Whether deployed in warehouse logistics, factory automation, semiconductor manufacturing, electronics assembly, or intelligent material handling, PCOM-BC00 enables OEMs and system integrators to develop compact, reliable, and scalable AGV and AMR solutions with shorter development cycles and lower total cost of ownership. By combining efficiency, flexibility, and industrial-grade reliability, PCOM-BC00 provides an ideal embedded computing platform for intelligent AGV and AMR systems, helping accelerate development while supporting long-term deployment requirements.
