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Transbot ROS Robot Python programming with Lidar Depth camera for Jetson NANO 4GB(B01/SUB)

Name: Transbot ROS Robot Python programming with Lidar Depth camera for Jetson NANO 4GB(B01/SUB)
SKU: 24788
Price: 3799.00 ILS
Availability: InStock

~~4,299.00 ₪~~ 3,799.00 ₪ Inclusive of tax

-12%

Categories: Raspberry pi, Robotics, Science and technology equipment

Description
Reviews (0)

Transbot is a crawler off-road robot based on ROS(robot operating system) and Python programming, which is designed for ROS enthusiasts and robot players. It is equipped with high-performance hardware configurations such as Jetson NANO, Lidar, HD camera/depth camera, etc., which can realize applications such as robot motion control, remote communication, mapping navigation, following-avoiding, autopilot and robotic arm MoveIt simulation. A lot of teaching course documents and videos to help you get started with ROS easily.

Product Details

Jetson Nano 4GB SUB developer kit with 16G-eMMC memory
Based on ROS Programmable Project Professional Kit utilizing Rviz, Movelt, and Qt toolboxes
RTAB-VSLAM 3D Visual Mapping Navigation with Astra Pro 3D Camera
Integrates AI functions such as intelligent patrol, radar guard, tracking, 3-DOF flexible grasping of manipulator, etc.
Robot can be programmed or controlled via mobile remote control APP, handle control, JupyterLab online programming, or professional robot operating system control
Supports iOS & Android for mobile remote control APP, and ROS robot APP is only for Android

Brand	Yahboom
Manufacturer	Yahboom
Country of Origin	China
Date First Available	March 3, 2022
What is in the box	Jetson Nano AI Robot… For more details, please check description/product details

Features & Benefits

Developers can explore robotics and AI technology
Features include RTAB-VSLAM 3D Visual Mapping Navigation
AI Function Combination with several integrated functions
Cross-platform interconnection control with four different control methods
Yahboom App supports iOS and Android but ROS robot APP only supports Android

Product Description

Jetson Nano AI Robot ROS Tank Kit Transbot with Somatosensory Depth Camera 3D Scanner ROS Robotics Coding （with Jetson Nano 4GB SUB

Yahboom Single Board Computers Editorial Review

The Jetson Nano AI Robot ROS Tank Kit Transbot is a great product for those interested in learning and experimenting with robotics and artificial intelligence. The kit comes with a somatosensory depth camera and 3D scanner, as well as the Jetson Nano 4GB SUB for coding and processing. Customers have found the kit to be easy to assemble and appreciate the variety of sensors included. The 3D scanner allows for detailed imaging and mapping, while the somatosensory camera enables movement detection and gesture recognition. In terms of coding, users have found that the Jetson Nano is powerful enough to handle complex projects and experimentation. Some users have noted that the kit could benefit from more documentation and tutorials for beginners, and that there is a bit of a learning curve when it comes to configuring the system. Overall, the Jetson Nano AI Robot ROS Tank Kit Transbot is a well-designed and comprehensive kit for those interested in robotics and AI experimentation. With some patience and a willingness to learn, users can create impressive projects and learn invaluable skills.

SOME VARIANTS MAY HAVE A LEAD TIME OF 2-3 WEEKS.

Features

Crawler style, support for quick assembly robotic arm: The whole car is made of green aluminum alloy oxide material, supports install robotic arm, 2DOF camera pan/tilt, 7-inch screen and so on. Users can debug the car anytime and anywhere.
Professional hardware configuration: SLAM lidar, HD camera/depth camera, powerful coding gear motor, metal servo, and Yaboom robot expansion board, etc.
Based on ROS (robot operating system) and Python programming: We cleverly used Rviz, Movelt, and Qt toolboxes in robot operating system to realize the joint control of the robotic arm Movelt simulation and the real machine.
Wonderful AI functions: Lidar avoiding, fixed-point navigation, bone detection, finger following, camera calibration, 3D visual mapping navigation, etc.
Cross-platform interconnection control: Mobile remote control APP integrated with a variety of AI functions; handle control that can experience the FPV real-time visual effects; JupyterLab online programming and robot operating system control.
Detailed video teaching courses: We provide 64 video tutorials and detailed documents. Whether you are a beginner or an experienced ROS player, you can easily use this robot.