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DIY Obstacle Avoidance Car Robot Science Experiment Technology Elementary School Student Manual Intelligence Experiment Toy Gift

Science Experiment Obstacle Avoidance Car Robot Technology Elementary School Student DIY Manual Intelligence Experiment Toy GiftMaterial: environmentally friendly wood, plastic and metal components-Size: As shown in the figure-Condition: 100% brand new and high quality Batteries not includedFeatures:-Scientific experiment toys, exercise children's practical ability.-DIY small toys, cultivate innovative ability.-Cultivate scientific knowledge.-Select high-quality green environmental wood, sa

  • 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
$8.83 $11.48 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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Science Experiment Obstacle Avoidance Car Robot Technology Elementary School Student DIY Manual Intelligence Experiment Toy Gift

Material: environmentally friendly wood, plastic and metal components
-Size: As shown in the figure
-Condition: 100% brand new and high quality
Batteries not included
Features:
-Scientific experiment toys, exercise children's practical ability.
-DIY small toys, cultivate innovative ability.
-Cultivate scientific knowledge.
-Select high-quality green environmental wood, safe and environmental friendly.
-High quality electronic components and accessories, stable performance, safe and reliable.
Due to manual measurement, there may be an error of 0-2cm. Please understand

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