NVIDIA Orin NX Plus RK3588 Heterogeneous Computing Carrier Board for Embodied AI

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NVIDIA Orin NX Plus RK3588 Heterogeneous Computing Carrier Board for Embodied AI: Building the Next Generation of Intelligent Robots
The Rise of Embodied AI Requires a New Computing Architecture
The development of embodied AI is accelerating the transition from traditional artificial intelligence systems to intelligent machines that can perceive, understand, and interact with the physical world.
Unlike conventional AI applications that mainly process digital information, embodied AI systems such as humanoid robots, autonomous robots, and intelligent machines need to continuously collect data from their surroundings, analyze complex information, and make real-time decisions.
A modern intelligent robot may need to handle multiple tasks simultaneously:

• Visual perception through multiple cameras
  
• Real-time object recognition
  
• Environmental understanding
  
• Motion planning
  
• Sensor fusion
  
• Autonomous decision-making
  
• Motor control
  

These workloads require not only powerful AI computing capability but also efficient real-time control. A single computing platform may struggle to balance high-level AI processing and low-level control tasks.
This is driving the demand for heterogeneous computing architectures, where different processors work together to handle different types of workloads.


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