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Jetson Nano ROS2 Robot: Lidar Mapping, Navigation, and AI Visual Recognition for Adult Learners
Revised Content:
XiaoR GEEK is a Jetson Nano-based educational robot developed using the ROS1 and ROS2 robot operating systems. It employs Jetson Nano for ROS algorithm execution and visual processing, while STM32 handles motion control and sensor data processing. This division of labor between the two components enables both performance and efficiency improvements.
Equipped with lidar, depth camera, and a 7-inch touch display, the robot can perform mapping, navigation, path planning, and AI-powered visual recognition tasks. XR Hunter offers a variety of chassis options, including Mecanum wheels, Ackermann steering, crawlers, and four-wheel differentials, each with unique mobility characteristics to suit diverse applications.
XiaoR GEEK provides a comprehensive set of ROS-based tutorials, covering technical information, functional source code, documentation, and explanation videos to help users quickly master the development and application of ROS robots. The robot supports a 2DOF PTZ (pan-tilt-zoom) mechanism, allowing the robot to expand its viewing angle and look in various directions.
Designed for ROS2 compatibility, the robot aims to become a widely adopted platform for various types of robots. Additionally, the robot features programmable cool car lights, with color bars installed on the front and rear of the chassis, which can be controlled through the provided control program.
The robot supports several SLAM (Simultaneous Localization and Mapping) algorithms, including Gmapping, Karto, and Hector, enabling mapping, path planning, fixed-point navigation, and multi-point navigation. It also offers RTAB-VSLAM (Visual SLAM) functionality, which integrates visual and radar data to construct a 3D color map, allowing the robot to navigate autonomously and avoid obstacles.
Furthermore, the robot supports the MediaPipe development framework, enabling the implementation of AI-powered features such as face detection, edge detection, augmented reality, and color recognition. It also supports mainstream AI deep learning frameworks like KNN, TensorFlow, PyTorch, YOLO, and TensorRT for GPU acceleration.
The Ackermann chassis variant of XR Hunter leverages its structural advantages to reduce power consumption while ensuring smoother and faster steering. The rear wheels are equipped with a pendulum suspension system, enhancing the stability of the four-wheel contact with the ground and allowing the robot to adapt to uneven surfaces.
XR Hunter is equipped with the "ROS human-computer interaction system" developed by XiaoR GEEK, which provides real-time feedback on the robot's operating status and program on the 7-inch display screen, including mapping, navigation, and map saving, further enhancing the robot's user interaction capabilities and usability.
The product supports various remote control methods, such as Android mobile applications, wireless handles, and PC virtual machine RVIZ, allowing users to control the robot as desired. XiaoR GEEK also provides detailed tutorials, including paper, electronic files, and source code, as well as professional and reliable pre-sales and after-sales services. The robot supports secondary development, and users are recommended to have basic or more knowledge about robots before proceeding.
product information:
| Attribute | Value |
|---|---|
| product_dimensions | 11.57 x 9.25 x 8.78 inches |
| item_weight | 7.5 pounds |
| country_of_origin | China |
| manufacturer_recommended_age | 14 years and up |
| batteries | 1 12V batteries required. (included) |
| best_sellers_rank | #1,305,601 in Toys & Games (See Top 100 in Toys & Games) #1,544 in Remote- & App-Controlled Robots #12,189 in Kids' Electronics #46,970 in Learning & Education Toys |
| manufacturer | XiaoR GEEK |
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We accept order cancellation before Within 24 hours the product is shipped. If the order is cancelled you will get a full refund.
30 Days Returns & Exchanges Policy
If for any reason you are not satisfied with the purchased item,You have 30 days after delivery of your order to return an item.
After 30 days of delivery of your order, we will no longer accept returns.
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If it is a quality issue, please
provide an order number and attach clear photos of the items that represent the
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Items returned without authorization will not be accepted.
The time frame for return
must not exceed 30 days from when the original order was received.
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altered in any way.
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working days)
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Refunds
Once your return is received and inspected, we will send you an email to notify you that we have received your returned item. We will also notify you of the approval or rejection of your refund.
If you are approved, we will credit the credit limit to your credit card or original payment method within 5 business days (bank processing time frame).
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