100mm Mecanum Wheel 4WD Metal Car Chassis Kit With Omnidirectional Wheels And High Torque 37 Encoder DC Motors For Arduino Raspberry Pi Microbit Projects MC600 Platform Ready To Build And Tweak
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$994.88
Sale price$1,640.00you save $645.12
SKU: VXB0B5D15CCD
UPC: 00193019690109
UPC: 00193019690109
High-performance 100mm mecanum wheel 4WD metal chassis kit for Arduino and robotics projects.
✔️ Features 4 omnidirectional wheels, high-torque 37 encoder motors, and a 3mm aluminum panel; measures 37x30.2x10cm (14.6x11.9x3.9 inches) for easy DIY assembly.
✅ 4 high-torque 37mm DC encoder motors for precise speed feedback and up to 15-20kg load capacity
✅ Metal panel from 3mm thick aluminum alloy, sandblasted for durability and compatibility with Arduino, NodeMCU, or Raspberry Pi
✅ Overall kit size of 37x30.2x10cm (14.6x11.9x3.9 inches) with 100mm (4-inch) wheels, weighing 3.2kg (7.1lb) for robust off-road performance
✔️ Features 4 omnidirectional wheels, high-torque 37 encoder motors, and a 3mm aluminum panel; measures 37x30.2x10cm (14.6x11.9x3.9 inches) for easy DIY assembly.
This metal car chassis kit is a complete platform for building omnidirectional robots, commonly used in STEM education, Arduino coding projects, and Raspberry Pi experiments to teach robotics basics and AI concepts.
✅ 100mm mecanum wheels with 9 sub-wheels each, made from aluminum alloy and PP+PE rollers, enabling full directional movement✅ 4 high-torque 37mm DC encoder motors for precise speed feedback and up to 15-20kg load capacity
✅ Metal panel from 3mm thick aluminum alloy, sandblasted for durability and compatibility with Arduino, NodeMCU, or Raspberry Pi
✅ Overall kit size of 37x30.2x10cm (14.6x11.9x3.9 inches) with 100mm (4-inch) wheels, weighing 3.2kg (7.1lb) for robust off-road performance
💡 Why are mecanum wheels a solid choice for robotics setups?
A good pick for handling complex movements, mecanum wheels let you navigate tough spots with ease.
- Boosts directional control in tight spaces for educational bots or competitions
- Handles various terrains like grass or rocks without losing traction
- Integrates well with encoder motors for accurate feedback in projects
- Simplifies building AI robots for learning and tweaking designs
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