Description
Another version
Jetson NANO Transbot ROS Robot
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 chassis has 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 flexible rotation.
ROS operating system: Based on the ROS robot operating system, we cleverly use Rviz, Movelt, and Qt toolboxes to realize the joint control of the robot arm Movelt simulation and the real machine.
Cross-platform interconnection control: It support a variety of different control methods, AI-enabled APP, FPV real-view visual handle remote control, JupyterLab online programming, and robot operating system control.
Detailed video courses: We provide 64-hours video tutorials and detailed documents. Whether you are a beginner or an experienced ROS player, you can easily use Transbot robot.
Details
Packing list
Tutorial link
Shipping and delivery Information
Payment & Security
Payment
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Customer Reviews
Complimenti bel lavoro, fatto bene e completo
Just received the package, the packaging is as shown in the picture.
I am very satisfied!
I will bring it to my lab next week and officially start my DIY project.
I was really impressed with this Raspberry Pi Tracked Transbot Car. First, its structural design and build quality are excellent. The trolley is made of strong and durable materials, ensuring its stability and durability.
Secondly, I am very satisfied with the control and programming flexibility of it. With Raspberry Pi, we can customize and optimize the behavior of the car. It allows us to write our own code to implement various functions such as automatic navigation, path planning, etc.
In the end, the performance and responsiveness of the little car is excellent. It responds quickly to commands and moves with just the right speed. This makes controlling and operating the trolley smoother and easier.
But it may have some room for improvement. Sometimes, in complex environments, the radar may be interfered, resulting in inaccurate obstacle avoidance. Also, the battery life of the car may need to be improved for longer runs
Last week, I purchased this Raspberry Pi Transbot car from this website and I am generally satisfied with my purchase. Shipping list inlcude all the necessary parts and tools for assembly, which was straightforward.
The AI capabilities are impressive and the car is able to detect and avoid obstacles with relative ease. However, the programming was a bit more challenging than I anticipated and I had to do some research and troubleshooting to get it working properly.
Additionally, the seller's customer service could have been more responsive to my inquiries.
As an experienced programmer, I was looking for a challenge and this programming car delivered. The open-source platform allowed me to customize the code to my liking and the car's functionality is impressive. It's fast, responsive and the sensors work flawlessly.
Thanks for fast and safe logistics from Yahboom!
QUESTIONS & ANSWERS
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I bought the Yahboom ROS Transbot Robot with Lidar Depth camera support Python programming MoveIt 3D mapping for Raspberry Pi, if in the future I want to switch to Jetson NANO 4GB(B01/SUB) version, can I do it? if so what do i need to buy, and do? Regards and thanks
Hello friend,
If you want to use Jetson NANO version. You just need purchase, Jetson NANO board, U disk(With Transbot system file), Jetson nano installstion package.
If you need, contact me by E-mail: market@yahboom.com
I will I will draft an order and send it to you. -
I bought it, but I have an error with the astra camera launching , also the frame rate is very low ( 1 fps), is there a method to modify this?
Hello friend,
Sorry for lata reply. Could you send your question to this E-mail:support@yahboom.com
Our Technical Support will reply you ASAP. -
Can this recognize other things ( not faces). For example, a date bunch?
Hello friend,
Thanks for your message.
This is a programmable product, and we currently only provide routines to recognize a person's face.
If you need to identify a group of people, you can do that by modifying the code. -
If I formatted the memory by wrong, how could I restore the files again? Can I get another memory card?
Hi friend,
Could you contact our technical support is via email or WhatsAPP. He will provide professional services to help you solve the problem ASAP.
E-mail: support@yahboom.com WhatsAPP: +86 18682378128