Advantech Accelerates Physical AI Robotics with Integrated Computing, Sensing, and Software Solutions

Taipei, Taiwan, March 18, 2026 – Advantech (TWSE: 2395), a global leader in AIoT and Edge Computing, announced its latest advancements in Physical AI robotics, delivering application-specific solution packages designed for real-world operational conditions. To meet the growing demand for Physical AI, Advantech’s Robotics Business Unit integrates computing, sensor connectivity, and a ready-to-use software stack into pre-validated configurations optimized for robotic use cases such as AMRs, humanoids, robotic arms, commercial drones, and geofenced autonomous vehicles. 

This approach allows developers and OEMs to accelerate development while maintaining flexibility across performance levels, CPU architectures, and mechanical form factors—effectively bridging the “integration gap” in robotics.

Heterogeneous Computing: Enabling Flexibility Across Architectures

Robotics is shifting from rule-based automation to AI-driven autonomy, driving demand for real-time computing, deterministic response, and parallel AI processing. Advantech meets these requirements through a broad portfolio of specialized robotic controllers—including the ASR / AFE series—built on multiple compute architectures. 

This heterogeneous computing strategy enables customers to optimize performance, power efficiency, and cost based on specific application requirements:

• x86 platforms powered by Intel and AMD, optimized for real-time Linux, industrial motion control, and long lifecycle deployment
• Arm-based platforms from NVIDIA, Qualcomm, and Rockchip, designed for power-efficient edge AI and compact robotic systems

These computing options are available across diverse form factors—from Computer-on-Modules and embedded motherboards to single board computers and fanless systems—supporting scalable designs from prototyping to mass production.

Built on NVIDIA Jetson Thor: Unlocking Next-Generation AI Performance

Advantech further advances Physical AI with platforms such as the ASR-A702 and AFE-A702, built on NVIDIA Jetson Thor T4000/T5000. 

Designed for next-generation robotics workloads, these platforms deliver high-performance AI computing for multi-modal models, vision-language-action (VLA) inference, and real-time decision-making. Their compact yet powerful architecture enables AI model deployment and inference directly at the edge—minimizing latency and reducing reliance on cloud infrastructure. 

This capability is particularly critical for applications such as humanoid robotics, autonomous navigation, and industrial systems operating in air-gapped or latency-sensitive environments.

Advanced Vision with Native GMSL Camera Support for Vision-Centric Robotics

As robotics becomes increasingly vision-centric, reliable and high-bandwidth sensor integration is essential for perception and navigation. Advantech provides support for GMSL and MIPI camera technologies, in addition to PoE and USB cameras, enabling robust multi-sensor configurations across its robotics platforms. 

Key capabilities include:

• Pre-validated support for 2D, 3D, and stereo cameras across NVIDIA, x86, and Arm platforms
• One-click download and plug-and-play driver deployment
• On-demand driver enablement, customization, and image quality fine-tuning
  

By combining synchronized multi-sensor input with high-throughput processing, this architecture enables accurate perception, environmental awareness, and stable operation in dynamic environments.

Robotic Suite: A Unified Software Stack for Accelerated Development

To shorten the path from development to deployment, Advantech provides Robotic Suite, a unified and continuously maintained software environment across its robotics hardware portfolio.

Robotic Suite serves as a comprehensive development framework optimized for Advantech robotic controllers, offering:

• Full support for ROS2, NVIDIA Isaac ROS, Autoware, and major AI frameworks
• Modular packages for system bring-up, containerized deployment, and application development
• Verified BSPs, drivers, and middleware across multiple CPU platforms
• Pre-integrated sensor nodes for cameras, LiDAR, IMU, and motion control
  

This integrated software approach simplifies system integration and maintains consistency across deployments, allowing developers to focus on application innovation while reducing development cycles and accelerating time-to-market.

Scaling Physical AI with Advantech Robotics Solutions

By combining heterogeneous computing, advanced vision and sensor fusion, and a ready-to-use robotics software stack, Advantech Robotics team delivers scenario-defined solutions that scale across diverse robotic applications.This approach simplifies integration, supports long product lifecycles, and provides a clear path from evaluation to large-scale deployment.

As Physical AI continues to reshape the robotics landscape, Advantech empowers developers and enterprises to transform AI capabilities into reliable, real-world operations.

To learn more about Advantech’s Robotics solutions, download the latest ebook here.

About Advantech

Advantech is a global leader in IoT intelligent systems and embedded platforms, with the corporate vision of "Enabling an Intelligent Planet." To embrace the trends of edge computing and artificial intelligence, Advantech fully deploys its sector-driven strategy and focus on Edge Computing and Edge AI. In the meantime, Advantech is enhancing its global presence and core competitiveness by integrating its Edge Computing hardware platform, the WISE-IoT software platform, and sector-specific Edge AI solutions with domain expertise.