AMD Adaptive SoCs
The AMD SoC portfolio integrates the software programmability of a processor with the hardware programmability of an FPGA.
Industrial Automation Systems
AMD Kria™ SOMs are the easiest way to build vision systems and ROS 2-based robotics using robotic-specific apps from the app store or using the Kria Robotics Stack to quickly implement and hardware accelerate your computational graph.
Along with Kria SOMs, AMD Zynq™ UltraScale™+ MPSoCs, AMD Versal™ adaptive SoCs, and AMD FPGAs enable a modular approach to robotics by providing a common embedded hardware and software platform that can be reused and scaled to dramatically reduce time-to-market, form-factor, and total cost of ownership while maximizing intelligence and adaptability of these assets. Specifically, adaptive SoCs and FPGAs enable:
- Precise, deterministic control over a scalable number of axes of motion via parallel processing of control loops
- Connectivity over diverse Industrial Ethernet standards including support for Time-Sensitive Networking (TSN)
- Support for numerous and diverse sensor inputs, enabling sensor fusion and high-level sensors techniques
- Real-time analytics and machine learning supporting predictive maintenance and control, remote diagnostics, digital twin, and additional edge intelligence use cases
- Integrated human machine interface (HMI)
- Compliance for IEC 61508 SIL 3 functional safety and IEC 62443 cybersecurity
- Smaller physical footprint and power through highest levels of integration
AMD Versal AI Edge series is a heterogeneous platform that provides a modular, scalable approach to robotics for all the things control, perception, navigation, self-learning, safety, and security.
Benefits of AMD Versal AI Edge and its Adaptable Engines in Robotics:
- Perception is what provides information to adapt to the environment - Sensor fusion accelerators in the adaptable engines offload the application processors
- Adaptable engines perform low latency motor control and deterministic networking for synchronization across the system
- Adaptable engines accelerates motion planning which is needed for navigation
- Intelligent engines can perform AI to augment safety controls for dynamic execution, and accelerate real-time analytics with machine learning for predictive maintenance
- Versal has built-in safety and security from bottom up for latest standards – AMD offer a simplified certification path for both secure and safe systems
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Design Examples
- Fully Integrated Robotics
- Multi-Axis Motion
- Multi Axis Power Stage
- Machine Vision Camera
Fully Integrated Robotics Control
- Meta data processing from vision and non-vision Sensors
- Robot Motion Planning & Safe Motion
- Motion controller
- Sensor bus management
- Camera bus management, GigE Vision etc. or Ind.Ethernet like EtherCAT, Profinet, Powerlink
- HMI
- Safe motion safety requirements: PLe CAT3
Multi-Axis Motion Control
- Embedded Safe Motion
- EtherCAT Master stack (or other Industrial Ethernet) with Safety Layer
- Safety Requirements: Ple CAT 4
Multi Axis Power Stage with Minimum Drive Capabilities and Safety
- MOS FET or SiC driver stage
- Digital Encoder
- Safety requirements: Ple CAT 4
Machine Vision Camera
- Sensor Interface
- Image Signal Processing with Machine Learning
- Network Connectivity
Device Support
Get Started
Kria KR260 Robotics Starter Kit
Out-of-the-box adaptive SOMs for robotics and the intelligent factory using ROS 2.
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Solutions Stack
AMD Industrial and Healthcare Embedded Solutions Stack
Many industrial and healthcare embedded products require the full AMD embedded solution stack, which includes optimized AMD components and ecosystem solutions. With AMD-based systems, there's no need to start from scratch. Save time, reduce costs, and enhance design reuse by utilizing the AMD embedded solution stack.
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