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Ackerman Chassis Smart Robot Car Kit for Raspberry Pi, Autonomous Driving, AI Visual, Python Programming Education Project for Teen Engineers Students (with Raspberry Pi 4GB)
En stock
1.28 kg
No
Nuevo
Amazon
- Model training & Autopilot: The XR F3 robot is a autopilot robot car upgraded based on AI neural network and deep learning framework Tensorflow. The Raspberry Pi is used as the main controller and adopts the Ackerman chassis structure design. While using the structural advantages to reduce power consumption, the car's steering is more stable, faster and more accurate, which promotes the efficiency of robot learning and research.
- AI visual gameplay: Simulation training can be carried out on the map, after in-depth data analysis is completed, in the automatic driving mode, the car can realize automatic driving along lines and recognition of sidewalks, traffic signs, traffic lights and other functions through the camera. (With a 3.5 x 2.9m (138 x 114 in) curved driving map)
- Intelligent anti-collision: The front end of the robot vehicle is equipped with an ultrasonic sensor. When in automatic driving mode, it will continuously scan for obstacles ahead and automatically stop when it falls below a safe distance. Effectively prevent rear-end collisions when multiple vehicles are driving. The body is equipped with a OLED display, through which the status of the robot can be observed in real time.
- Multiple Control Methods: This robot kit comes with a remote control handle and user interface that can be accessed from a mobile device or PC. It is recommended that you have some basic understanding of programming basics before using this kit. XiaoR provides professional pre-sales and after-sales services. If you have any questions or issues about the product or program learning, please feel to contact us.
- What you will get: Python programmable self-driving robot kit, using a metal Ackerman chassis structure. The chassis is pre-assembled and can be used by simply installing a camera. Includes Raspberry Pi 4B, PWR.A53 expansion board, TT motor, 12V rechargeable battery, expansion list, paper instructions, ultrasonic sensor and camera. High-performance hardware combined with paper/electronic course content.
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