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Yahboom Autonomous Driving Professional Kit AI Visual Recognition Function Python Programming ROS Adults Robotic kit Ackerman Chassis Python (with Jetson TX2-NX)
- Complete the code programming of R2L robot based on Robot Operating System (ROS), and demonstrate the latest automatic driving and AI recognition technology.
- The control board can be Jetson Nano, TX2-NX. The robot must be controlled by a development board, otherwise it cannot be started. Because the nano version has a different installation package from the TX2-NX version , the kit without the nano board is not suitable for the TX2 NX board. If you already have TX2 NX development board, you need to order the corresponding version without the board, please contact Yahboom.
- The R2L robot uses the Ackermann chassis structure design, which uses structural advantages to reduce power consumption while the steering of the car is more stable, faster and more accurate, so as to improve the efficiency of the competition, which is a cool thing in the model game competition
- The self-driving version comes with a 3.2 x 2.8m (125 x 110 inches) curved driving map. The R2L robot kit
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Yahboom Autonomous Driving Professional Kit AI Visual Recognition Function Python Programming ROS Adults Robotic kit Ackerman Chassis Python (with Jetson TX2-NX)
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- Return for refund within: 30 days
- Return for replacement within: 30 days
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