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Rp39.573.000
ROS Robot Obstacle Avoidance AI Recognition With Lidar Depth Camera Mo
Rp39.573.000
- Kondisi: Baru
- Waktu Preorder: 25 Hari
- Min. Pemesanan: 1 Buah
- Etalase: Semua Etalase
ROS Robot Obstacle Avoidance AI Recognition With Lidar Depth Camera Motor Kit for Student Education Not Include Raspberry Pi 1005003786083894 ? Pre-Order +/- Sampai Alamat 10-15 Hari ? FREE ONGKIR+PAJAK ?? Garansi uang kembali jika Rusak, Beda Produk Application : Electric Toy Condition : New Type : Logic ICs Brand Name : Roboduino Origin : Mainland China Material : Aluminum alloy Programming Language : Python3 Controller : Raspberry Pi 4B Operating System : Ubuntu 18.04LTS + ROS_Melodic Remote Control : APP/Handle/PC/ROS Tool Packing weight : 9.5KG Packing size : 43*30*30CM Power supply(Include) : 12.6V 4400mah 2C lithium battery pack Certification : CE,ROHS Description: Transbot is a crawler educational robot developed based on the ROS(robot operating system). It uses Python 3 as the programming language. And comes with high-performance hardware configurations such as Raspberry Pi 4B board, lidar, high-definition camera/depth camera, etc., which can realize robot motion control, remote communication, mapping navigation, following, avoiding, autopilot, robotic arm Movelt simulation, multi-robot queue, multi-robot navigation and so on. We will provide many ROS courses and teaching video to help user get started with ROS easily. Features: Intimate design and service: The chassishas been assembled before shipment. The TF card comes with Transbot dedicated system files.Only need to assemble the Raspberry Pi, camera and other parts, and you can quickly enjoy it. Professional technical support and after-sales service. Stable hardware configuration realizes interesting functions: Based on lidar: Obstacle avoidance, following, 2D mapping navigation, multi-robot navigation, etc. Based on depth camera: 3D mapping, point cloud image processing, KCF target visual following, etc. Based on a HD camera: High-brightness searchlight, 2 DOF PTZ
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