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Xiaor geek
Jetson Nano 4GB AI Robot Kit - ROS SLAM Lidar Mapping, Gesture Control, Face Detection, AR Tank & A2 Robotic Arm | Includes Jetson Nano Board
Disponibilidad
En stock
En stock
Peso con empaque
3.16 kg
3.16 kg
Devolución
No
No
Condición
Nuevo
Nuevo
Producto de
Amazon
Amazon
Sobre este producto
- ★Including Jetson Nano motherboard*1 ★TF card*1 and battery pack*1 and so on.
- AI smart robot: The latest ROS SLAM radar car can realize functions such as map building, navigation, avoidance, and robotic arm control. It also adds AI functions such as edge detection, gesture recognition, gesture control, face detection, multiple color tracking, and AR enhancement. Full of fun, more programming possibilities. After upgrading to A2 robotic arm, the gripping force is bigger and stronger.
- Tank robot based on ROS: The SLAM A2 radar car is a tank robot designed based on ROS system. It is equipped with jetson Nano motherboard and A1 laser radar. It adopts laser triangulation ranging technology, easy to scan and build maps, and complete indoor single-point multi-point navigation, obstacle avoidance and other functions. Note: APP only supports Android phones.
- Moveit! Robotic Arm: The 4 DOF Robotic arm applies Moveit kinematics, which integrates multiple functions such as motion planning control, 3D perception, control and navigation, and dynamically interacts with the 1080P HD camera to realize the function of visually grasping objects. The A2 robotic arm can grasp Take about 0.7 lb weight item. (The expandable 2-DOF camera can shoot at any angle of 360°, specially designed for intelligent robots)
- Professional Hardware and Functions: The robot have a large-size aluminum alloy chassis, SLAM lidar, A2 arm, 1080P HD camera, encoding motor and XiaoR professional robot driver board. Best project for teenagers and makers to learn programming and ROS system: Birthday | Christmas | Hanukkah | Summer camp... We provide professional technical assistance, leave your questions on the page or contact us.
- Programmed&Tutorials: The robot car supports SLAM algorithm secondary development to build your own self-driving robot car. XiaoR GEEK provides a comprehensive robot kit tutorial and secondary open-source code and gives away ROS learning materials to take you from basic to a deeper understanding of the ROS SLAM autonomous navigation in Jetson Nano.
₡ 684,808
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₡ 684,808
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