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Ling Jiang

Embedded Industrial motherboard 3.5 Inch Wide Range Temperature /2xLAN / Onboard 4Gb Ram

Spec:CPU: Intel Core I7-3537UChipest: Intel QM77Memory: 4Gb Ram +1x DDRIII Slot (1066/1333 Mhz)Lan: 2XRJ45, gigabit ethernetDisplay : Integrated HD 4000.Support LVDS / DP / HDMI/ VGA.CPU TDP: 17W.Power Supply: DC 9-25V DC input.More DetailsProcessorIntel Core I7-3537U BIOSAMI Ver 2.15.1227System ChipsetIntel QM77System MemoryOnboard 4GbRAM + 1xDDR3 1066/1333MHz Graphic Interface18/24Bit LVDS,HDMI VGA HD4000Ethernet ControllerIntel 82574L/82579LM 10/100/1000MbpsI/O ChipsetITE 8718F/HX-LSerial Por

  • 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
$303.99 $395.19 Save 23%
In Stock
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 Embedded Industrial motherboard 3.5 Inch Wide Range Temperature /2xLAN / Onboard 4Gb Ram. 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.

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