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N84R Development Board for 5 Linux RAM LPDDR4/4X 8K RK3588S 64-Bit Processor Support Orangepi OS 4GB

Adopts a of eight nuclear 64-bit processor of Ruixinwei RK3588S, Specifically, it is quad-core A76+ quad-core A55, which adopts 8nm process design, and its main frequency can reach up to 2.4GHz. It integrates ARM Mali-G610MP4GPU and embeds high-performance 3D. And 2D image acceleration module, built-in AI accelerator NPU with a computing power of up to 6Tops, supporting It has 4GB(LPDDR4/4x) memory, and has up to 8K display processing capacity Quoted quite a wealth of interfaces, including outpu

  • Complete educational DIY robotics platform package
  • Multiple degrees of freedom for realistic humanoid or quadruped movement
  • Supports visual Scratch coding for beginners and Python for advanced users
  • Equipped with high-performance metal gear servos and smart controllers
  • Sturdy structural frame designed to withstand impact and stress
  • Comprehensive step-by-step tutorials and rich sample code library
  • Easily expandable with external sensors, cameras, and grippers
$260.99 $339.29 Save 23%
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Best For: Students, educators, and advanced robotics creators looking for an integrated, multi-functional assembly kit with interactive kinematics.
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(855) I-BUY-ROBO (855) 428-9762
Take your robotics projects to the next level with the N84R Development Board for 5 Linux RAM LPDDR4/4X 8K RK3588S 64-Bit Processor Support Orangepi OS 4GB. This premium Robots component has been carefully selected and tested to meet the demanding standards of robotics engineers, students, and maker community creators. Whether you are building an autonomous robotic chassis, an advanced sensor array, or a custom motor drive setup, this product provides the exact precision and electrical stability you need. Equipped with advanced technical features, it guarantees smooth integration into standard microcontrollers, Raspberry Pi systems, or specialized industrial PLCs. Buy now at iBuyRobotics to enjoy fast shipping and expert technical support!

Use Cases

STEM classrooms, programming labs, motion control algorithms, autonomous navigation testing, and personal learning projects.

Compatibility Notes

Fully programmable via Scratch visual block editor, Python, or C++ APIs. Requires rechargeable batteries and a desktop computer for code uploads.

Frequently Asked Questions