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Sabtu, 13 Mei 2017

Home / robot ai / smart robot / Get Only US $436.65 DIY Programmable Toys Smart Robot Tank Chassis Car with Laser Radar for Raspberry Pi 4 (2G) High Te

Get Only US $436.65 DIY Programmable Toys Smart Robot Tank Chassis Car with Laser Radar for Raspberry Pi 4 (2G) High Te

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DIY Programmable Toys Smart Robot Tank Chassis Car with Laser Radar for Raspberry Pi 4 (2G) High Te

[4000224323274] DIY Programmable Toys Smart Robot Tank Chassis Car with Laser Radar for Raspberry Pi 4 (2G) High Tech Toy Christmas Gift - Black Features: .Slam Algorithm Laser Building Map: Internally integrated gampping, hector and harto algorithm .Indoor Autonomous Navigation Dynamic Obstacle Advoidance: According to indoor maps and path planning, secondary planning will be carried out when the roads are not available, and dynamic obstacle avoidance can be realized. Indoor multi-point positoning functon, autonomous path planning, avoiding obstacles, arriving at destination in sequence .Laser Objuect Tracking Camera Line: Laser radar follow the master's movement. Use cameras and OpenCV to patrol the line .Mobile APP Controls Robot: Provide Android APP control software, complete WIFI video monitoring and control functions, complete APP map building and autonomous navigation functions. The mobile APP controls the movements, the car position setting, the navigation target setting and the path .Touch Display Real Time Display: When you are operating a ROS robot, you need to connect the main control board to Wifi. You need to know the IP address of the main control board in time, monitor the real-time operation of the main board, etc. You need a touchable display .Slam Algorithm Application: The SLAM algorithm learned by the ROS laser radar smart robot car can be applied to fields such as unmanned automatic delivery robots and home sweeping robots .Provide comprehensive video learning materials, secondary source development Specifications: .Color: Black .Material: Aluminium Alloy + Electronic Components .Mainboard: Raspberry 4 .Programming Language: Python, C Language .Battery: 2200mAh Lithium Battery Pack .Digital Display Voltage: Three-digit Display Voltage .Motor: DC Brush Motor .IMU: 9 Axis Gyroscope .Product Size: 28 x 24.2 x 30cm .Product Weight: 2800g .Package Dimensions: 30 x 15 x 15cm .Package Weight: 3000g .Packing: Graphic Carton 



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