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<\/p>\nAdvantech has introduced the ASR-A503 robot controller single-board computer and AFE-A503 industrial robot controller, both powered by the Qualcomm Dragonwing \u00a0IQ-9075M processor.<\/p>\n
The two platforms provide unified architecture for AI inference, vision processing, navigation, control, and robot-facing connectivity.<\/p>\n
While TOPS remains an important AI performance indicator, production-ready robotics also depends on performance per watt, camera integration, I\/O availability, thermal design, memory capacity, and deployment readiness.<\/p>\n
Advantech developed the ASR-A503 and AFE-A503 to address these system-level requirements rather than focusing on peak AI performance alone.<\/p>\n
Robotic systems must simultaneously handle three major workload types:<\/p>\n
Perception: Camera input, AI inference, LiDAR and IMU processing, and sensor fusion
\nPlanning: Localization, navigation, path updates, and application logic
\nControl: Predictable communication across CAN FD, digital I\/O, Ethernet, USB, and serial interfaces<\/p>\n
The Dragonwing IQ-9075M distributes these workloads across CPU, GPU, NPU, and integrated vision-processing resources, allowing developers to consolidate perception, planning, and control on one heterogeneous computing platform.<\/p>\n
The ASR-A503 is designed for developers building customized robotic systems. It delivers up to 100 dense TOPS and 200 sparse TOPS for on-device AI and vision workloads.<\/p>\n
The board supports GbE, USB, CAN FD, digital I\/O, serial interfaces, M.2 expansion, and optional GMSL connectivity, helping developers integrate cameras, sensors, motors, and peripherals within a compact robot design.<\/p>\n
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Figure 1: ASR-A503 robot controller based on the Qualcomm Dragonwing IQ-9075M<\/p>\n
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Figure 2: ASR-A503 robot controller block diagram<\/p>\n
The AFE-A503 extends the same architecture into a fully integrated industrial edge AI controller.<\/p>\n
Designed for AMRs and production robotics, it combines computing, enclosure, power input, isolated interfaces, thermal design, and system connectivity in a deployment-ready platform. This helps reduce integration effort and accelerate the transition from development to field deployment.<\/p>\n
![\"Image\"](\"https:\/\/www.newsbeep.com\/nz\/wp-content\/uploads\/2026\/10\/image_27963171591790758720529.png\")
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Figure 3: AFE-A503 industrial robot controller<\/p>\n
For battery-powered robots, performance must be evaluated together with system power, heat generation, cooling requirements, battery capacity, and operating time.<\/p>\n
The Dragonwing IQ-9075M architecture provides efficient AI and vision processing for continuous perception workloads, helping reduce thermal and power demands while maintaining the compute resources required for navigation and control.<\/p>\n
Key capabilities include:<\/p>\n
Support for up to 8 camera inputs through GMSL and MIPI-CSI
\nAI, vision, planning, and control on one SoC
\nIsolated CAN FD and 16-bit digital I\/O
\nFour GbE ports with PoE capability
\n20 to 36 VDC power input
\nECC memory, TPM 2.0, ESD and surge protection
\nWide-temperature operation from -40 to 85\u00b0C<\/p>\n
Both products also support the Advantech Robotic Suite, providing developers with a ready-to-use software environment for robotics application development.<\/p>\n
The ASR-A503 supports flexible board-level integration for customized robot designs, while the AFE-A503 provides an industrial controller for faster deployment.<\/p>\n
Together, they give robotics developers a common Dragonwing IQ-9075M platform for AI inference, multi-camera vision, planning, control, and industrial connectivity\u2014helping teams move efficiently from prototype to production.<\/p>\n