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When purchasing a product, price is the consumer's primary concern. At present, Yahboom has 271 products for sale. Yahboom products range in price from $29.99 to $1919, and the average price of all the products is about $529.19. You should take everyting into consideration before buying the products, after all, it is not a small expenditure for most consumers.

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Last Updated: Jan 12, 2025

Yahboom Jetson Orin NX 16GB RAM AI 100TOPS Development Kit IMX219 CSI Camera 256GB SSD for Robots ROS2 Programming Ubuntu20.04 (Orin NX 16GB Came Adva Kit)

Single Board Computers Raspberry Pi Starter Kits

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[Core Parameters] AI Perf: 100 TOPSGPU: 1024-core N-VI-DIA Ampere architecture GPU with 32 Tensor CoresCPU: 8-core Arm Cortex-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3Memory: 16GB 128-bit LPDDR5 102.4GB/sStorage: Supports external NVMe

[Packing List] Basis Kit:Orin NX 8GB16GB module*1 (core module and carrier board installed，4G or 8G Optional), power adapter *1, antenna *2, wireless network card *1 (installed), SSD *1, DP to HDMI cable *1, Type-C Cable *1, acrylic case *1；Advanced Kit: Basis Kit+ IMX219-77°camera *1, camera case *1；Mini PC Kit：Basis Kit- acrylic case+ Cube Jetson Mini Case+USB camera；Ultimate Kit：Mini PC Kit+ 15.6in display screen+Wire-less keyboard mouse set

[Huge Leap in Performance] Orin NX is a groundbreaking AI product, offering unparalleled performance and compact size. It outperforms AGX Xavier by 3x, Xavier NX by 5x, and nano B01 by a staggering 200x. With its impressive capabilities, Orin NX transforms the world of AI and robotics, making it accessible to all.

[Revolutionize the Industry] Jetson Orin NX 16 GB modules deliver unmatched performance and efficiency for small, low-power robotics and autonomous machines, making them ideal for drones, handheld devices, and more. The module can be easily used in advanced applications in manufacturing, logistics, retail, agriculture, medical and life sciences, and comes in a highly compact and energy-efficient package.

[Revolutionizing AI with Unmatched Performance] The Jetson Orin NX system module adopts the Ampere architecture GPU, a new generation of deep learning and vision accelerators, high-speed I/O, and fast memory bandwidth to support multiple AI application processes. Granular structured sparsity to improve the operating throughput of Tensor Core, and can use larger and more complex AI model development solutions in natural language understanding, 3D perception and multi-sensor fusion.

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Yahboom Jetson Orin Nano 8GB RAM Development AI 40TOPS, Jetson Case, RGB Cooling, USB Camera, 256GB SSD Electronic Kit Intelligence ROS2 (Orin Nano 8GB SUB Mini PC Kit)

Single Board Computers Raspberry Pi Starter Kits

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[Core Parameters] AI Perf:40 TOPS GPU:1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores CPU:6-core Arm Corte-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 Memory:8GB 128-bit LPDDR5 68 GB/s Storage: external NVMe via M.2 Key M (NOTE:SUB Board No SD Card Slot)

[Packing List] Basis Kit:Orin Nano SUB development board *1 (core module and carrier board installed，4G or 8G Optional), power adapter *1, antenna *2, wireless network card *1 (installed), SSD *1, DP to HDMI cable *1, Type-C Cable *1, acrylic case *1；Advanced Kit: Basis Kit+ IMX219-77°camera *1, camera case *1；Mini PC Kit：Basis Kit- acrylic case+ Cube Jetson Mini Case+USB camera；Ultimate Kit：Mini PC Kit+ 15.6in display screen+Wire-less keyboard mouse set

[AI Upgrade] Jetson Orin Nano series modules are compact in size but can deliver up to 20-40 TOPS of AI performance, with power consumption ranging from 7 watts to 15 watts. Compared to the Jetson Nano B01, it offers up to 80 times the performance and sets a new standard for entry-level edge AI.

[Highly compatible carrier board] Yahboom's carrier board is fully compatible with NV-IDIA's orin nano module. Compared to carrier boards that use Jetson Nano on the market, the newly upgraded circuit supports 15W power mode, which enables larger and more complex neural networks and fully leverages the performance of the core module. The resources, size, and interfaces of the Yahboom carrier board are consistent with the official board, with the only difference addition of power switch button.

Orin Nano Developer Kit suitable for creating entry-level AI robots, with a small design, a large number of connectors and up to 40 TOPS of AI performance. The kit includes Jetson Orin Nano 4GB or 8GB module and carrier board, which can be used as a design platform with Ampere GPU and 6-core ARM CPU, supporting N-VI-DIA AI software stack, use-case application framework. Jetson Orin helps developers use new technologies to create next-generation AI solutions.

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Yahboom AI Robot Kit Tank Chassis for Raspberry Pi 4B Camera Starter Kit Python Programmable Electronic Science Project DIY Smart Car Robotics for 16+ (Without Pi 4B)

Single Board Computers Raspberry Pi Starter Kits

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[AI vision robot] G1 tank car kit compatible with Raspberry Pi 4B module B (4G/8G), not only retains the entry-level functions of programming robots such as difficult line inspection, ultrasonic obstacle avoidance, real-time video transmission, etc., the robotic also adds With artificial intelligence games such as face detection/tracking, color/object/QR code recognition, DIY electronic kits show engineering principles into interesting and challenging projects.

[5G HD Video Real-Time Transmission] Professional DIY STEM toy Robot Tank , suitable for electronics enthusiasts and teenagers 16+ years. Tank equipped with 2DOF camera gimbal, which can realize HD video real-time transmission through 5G wi-fi hotspot on Raspberry Pi. Camera supports 480P resolution, and the focus can be adjusted manually. It supports MJPEG and YUYV (default) 2 camera formats, using Pi 4B , video transmission is smoother. Assembled tank like a moving camera.

[Programmable & Tutorial] Raspberry Pi smart robot , Python/C++ is the main programming language, Use open source CV as image processing library, developed through the development tool Jupyter Lab. Yahboom APP remote control the robot car. Yahboom provides installation videos and online e-learning materials, professional technical engineers for after-sales service. If you lack relevant programming and installation experience, pls follow the instructions to get help from yahboom.

[Sensors & Breakthroughs] ultrasonic modules,4-way line inspection module ,2DOF cameras,colorful searchlights and other rich sensors allow robot to complete image transmission and various light displays. The maximum climbing angle of HP motors on large friction surfaces is 60° . In addition to Pi, expansion board also compatible with UNO R3, STM32, 51 single boards, which is convenient for DIY expansion. Yahboom can provide Raspberry Pi and Uno R3 tutorials.

[Super Robot Platform] Thisrobot tank kit consists of a solid aluminum alloy chassis, 2 high-power 370 motors, metal couplings, high-quality tracks, multi-functional expansion boards and various sensors. All accessories can be used for a long time. Very important: The Raspberry Pi development board is the master control necessary for the robot kit, without the development board, the robot cannot work.

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Yahboom Jetson Orin Nano 8GB Robotic Arm MyCobot280 7DOF Collaborative Robot Desktop Educational Robotic Arm Python with Adaptive Gripper

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[3 Master Control] Three master controls to choose from, one for educational robotic arms that seamlessly integrates with the Jetson Nano/Orin Nano/Orin NX ecosystem.Build and run Ubuntu 20.04 based on three main controls, making it an ideal development tool for developing robots and programming.Equipped with Jetson Orin Nano 8GB and Jetson Orin NX 16GB, it supports multiple fields such as robot algorithm development and ROS simulation learning.

[UR-type mechanical structure] The 7axis collaborative robot developed for user-defined programming has greater flexibility than traditional robotic arms.The smooth body and adaptive gripper have a larger range of motion and can reach more and more precise positioning.Using AI to control its movement and speed, it can achieve millimeter-level positioning and operation.It can work safely with people,is compact, and has many interfaces,making it a collaborative partner on your desktop.

[Programmable&ROS system] Explore the possibilities of RoboFlow,the industrial robot software of elephan-t robot.Relying on the original Jetson Nano open source ecosystem,Jetcobot provides rich development interfaces, Python driver libraries and built-in ROS environment to make your development easier and faster. It supports multiple programming languages, various software interaction methods and is for a wide range of app. Explore the unlimited potential of this collaborative robot arm.

[AI Vision&Remote Control] Equipped with wooden blocks and stickers,it can realize recognition, tracking, and grasping actions, fully reflecting the AI-Type characteristics of the robot arm. Most functions can be operated through a multi-function app (Android);equipped with a USB game controller remote control to achieve the best control experience;create Jupyter Lab pages online.The APP cannot control the gripper,it is recommended to use a USB controller.

[Tutorials] All information and instructions are in English.We provide high-quality technical support services. If you need help, please contact Yahboom.Jetcobot is recommended for individuals with a basic understanding of programming, not for beginners.Considering the threshold of product use,we strongly recommend that you read the instructions carefully before operation.Please pay attention to the power adapters in the list.If you use them interchangeably, they will burn out.

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Yahboom AI Robotic Kit with Jetson Nano Radar ROS2 Smart Tank Car Robot Arm Kit for Adults Autonomous Navigation, 7-inch Touch Screen & Depth Camera Optional for Teens Adults

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[Based on ROS Programmable Project Professional Kit] Transbot uses the Rviz, Movelt, and Qt toolboxes in the robot operating system to realize the joint control of the robotic arm Movelt simulation and the real machine. You can also operate at any time on the 7-inch screen（Note: check the version you ordered carefully）

[RTAB-VSLAM 3D Visual Mapping Navigation] Astra Pro 3D Camera provided by version III supports 3D mapping navigation technology (rtab) containing pure vision and visual radar fusion. Transbot robot can navigate,avoid obstacles and global relocation in the 3D map, and quickly obtain image data such as camera depth map, color map, and skeleton through the corresponding API., based on the image related KCF filter algorithm, any follow target in the image can be selected. Beginning of the 3D world

[AI Function Combination] The robot integrates a wealth of AI functions, such as intelligent patrol, radar guard and tracking,3-DOF flexible grasping of manipulator, fixed-point navigation, automatic driving, color recognition and tracking, AR tag recognition and reality enhancement, visual image beautification, face detection, lidar mapping navigation and obstacle avoidance, you will get the open source code provided by Yahboom to realize more possibilities.

[Cross-platform Interconnection Control] Robot can be programmed or controlled in 4 ways, 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 professional robot operating system control, a variety of control methods to meet different occasions,in-depth experience of the fun of controlling robots (Note: Yahboom App supports iOS&Android, ROS robot APP only for Android)

[Professional hardware] Transbot has a high-end aluminum alloy frame, anti-jamming bearings, SLAM lidar, powerful coding gear motor, metal servo, Yaboom professional robot expansion board, Somatosensory Depth Camera (optional), quick release mechanism Arm (optional), 7-inch screen (optional), which makes the robot car have a powerful ability to overcome obstacles

[Courses and Help] At the same time, Yahboom provides 64 video tutorials and detailed documentation. As long as you love ROS, this is a robot not to be missed. It is a professional gift that makers and programmers dream of. Yahboom provides professional technical help. If you have doubts about robotics, I hope you can leave your questions on the page or contact our technical support

[Version difference] Transbot has a total of 25 versions, I to V distinguish between high-definition camera or depth camera, whether it includes a robotic arm, whether it includes a 7-inch screen; in addition, the Transbot main control board is divided into Jetson Nano or Raspberry Pi, and the Raspberry Pi is divided into 4B 4G Or 4B 8G, please check the version you need carefully

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Yahboom Jetson Orin NX ROS2 Robot Lidar Mapping Navigation Depth Image 3D Analysis Mecanum Wheel Python Programming Learn Explore Robotic Kit (Orin NX Ultimate Ver-with Orin NX 8GB)

Single Board Computers Raspberry Pi Starter Kits

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ROS robotic learning kit for multiple versions: Yahboom provides 4 development board versions of ROSMASRER X3, you can freely choose jetson series development board or Raspberry Pi 5, based on the different performance issues of these development boards, The smoothness of operation is worth considering, Yahboom recommends the cost-effective Jetson orin（For detailed and comprehensive introduction, please view the video on the details page: rosmaster x3）

In-depth exploration of AI algorithms and intelligent robots: ROSMASRER X3 is equipped with a depth camera, lidar, and voice interaction module, which can realize ROS operating system, RTAB 3D mapping navigation, PCL 3D point cloud, SLAM mapping navigation, Machine vision applications, Voice interactive control, Python programming, STM32 development, MediaPipe development, YOLO model training, TensorRT acceleration (Note: Different features depend on the version you choose)

Rich course materials and professional after-sales support team: We provides 103 dual-language video courses, and online technical assistance (China time). The course content includes: ROSMASTER X3 assembly, Linux operating system, ROS and openCV series courses, depth camera and lidar mapping and navigation explanation, from simple to in-depth learning of mapping and navigation, this is an in-depth learning process, but we recommend that there are Programming basic users to use this robot kit

Multi-platform linkage: rosmaster X3 supports a variety of remote control methods such as mobile phone APP, handle, ROS system, computer keyboard, etc. It can control your robot car at any time, import your code, and is an artificial intelligence robot that listens to your instructions. Note: The Map Navigation APP only supports Android phones

Application field: rosmaster X3 provides an exploration model for professionals, can learn algorithms, obtain terrain in an unknown field, can deeply learn AI visual recognition, research autonomous driving, explore 3D object recognition, etc.Fully upgraded the ROS2 course.

Excellent hardware configuration: aluminum alloy body, 360° omnidirectional Mecanum wheels, optional lidar, high-quality depth camera, optional voice interaction module, professionally designed expansion board. This is a professional ROS robot that supports more development. Users can develop and learn again in the existing courses. Note: Yahboom only provides technical assistance for existing courses. All in-depth development needs to be completed by customers themselves.

VERY IMPORTANT: All ROSMASTER X3 accessories without a development board are also different. For example: ROSMASTER X3 without Raspberry Pi and ROSMASTER X3 without Jetson Nano, there are different accessories in it, make sure what development board you will use in the future before ordering.

The course is fully upgraded and is compatible with the ros2 system, and the jetson nano new generation development board is optional, with a greater performance improvement

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Yahboom Robot Arm ROS Virtual Machine as Controller Programmable AI Visual Recognition 6DOF Mechanical Arm Research Robot DOFBOT-SE (VM Software Not Support MAC)

Single Board Computers Raspberry Pi Starter Kits

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Desktop robot arm controlled by a virtual machine: Dofbot-SE robot arm uses a virtual machine as the main controller and does not rely on the expensive RaspberryPi jetson nano. It also implements complex grasping tasks such as custom model training, garbage classification, and gesture recognition. take action (VM Software Not Support MAC) Yahboom only provide Windows version.

6DOF intelligent serial bus servo robot arm: The robot body of the robot arm contains 6 bus servos that support readback of position and status information. The servo has built-in metal gears, high-precision potentiometers, anti-reverse connection interfaces, and can be cascaded. control. As a key accessory of the robotic arm, the powerful servo system can ensure accurate movement of the robotic arm and increase its service life, allowing it to easily grab objects weighing 200g-500g.

Diversity of control methods: The robot kit can be controlled through the standard wireless handle, mobile APP and computer mouse in the kit. Multiple operation methods can be used for various projects and learning, bringing more creative possibilities and fun.

Creative function development: the camera and the robotic arm are combined into one. The camera is responsible for AI recognition work, and the robotic arm is responsible for command output operations. It realizes inverse kinematics algorithm by controlling each joint, color recognition, tracking and grabbing, gestures and faces. Recognition tracking, MediaPipe machine learning, action group copying, chess playing, garbage classification and a series of complex actions

High-quality structure and high-quality after-sales service team: The robotic arm uses high-quality aluminum alloy and industrial-grade bearings, which can be used and learned endlessly. Yahboom develops Python source code for Dofbot SE, with 151 courses, from basic to advanced learning, and technical support to protect you.

Complete package, no need to prepare expensive development board master

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Yahboom AI Smart Robot Kit for UNO R3 Mecanum Wheel with ESP32 Camera App Control FPV Video Suitable for STEM Programming Education Kid Electronic Kit

Educational Science Kits

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Omnidirectional Robot Car: The hub of the Macanum wheel or Omni wheel is equipped with a 60MM roller, which is at a 45-degree angle to the axis of rotation. The hub is equipped with an integrated roller that can move independently, allowing you to move the car forward, backward, sideways and diagonally freely. Comes with a motherboard compatible with Uno.

Excellent accessory configuration: Built-in ESP32 WiFi camera module, real-time viewing of the robot's perspective image through the mobile phone APP, APP-based remote control, real-time control of the car movement and camera PTZ rotation. Metal body material, wear-resistant; equipped with rich expansion devices such as ultrasonic, 3-channel tracking module, infrared remote control, etc., easily combining education and fun.

Compatible with official IDE programming: Experience versatile programming with our all-inclusive kit, perfect for building your robot car locally. It has batteries, various sensors for obstacle avoidance, line tracking, infrared remote control, face detection, gesture and voice recognition, and C++ programming. Yahboom provides programming code.

Easy to build, detailed tutorial: All wiring adopts anti-reverse interface; the kit includes easy-to-follow instructions for assembling and coding the robot car. Beginners can use the step-by-step online tutorials and videos to successfully complete the project. Yahboom is committed to providing users with excellent after-sales service and technical support, and timely provide assistance for your technical problems.

Education and entertainment: Provides hands-on robotics and programming learning. Explore electronics and automation in an interactive way, perfect for children over 12 years old, beginners, hobbyists, educators and technology enthusiasts.

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Yahboom Raspberry Pi 5 AI Vision ROS2 Robot,360° Moving Electronic Robot Kit,Recognition,Tracking,Line Patrol,for Python Program Projects,ROS2 Ubuntu22.04 Pi 5 Official System (with RPi 5-4GB)

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[Powerful control system] RaspberryPi 5 has made breakthroughs in processor speed,multimedia performance,memory and connection.Based on the RaspberryPi 5 main control,AI performance has been greatly improved,and the camera picture is smoother.The combination of RaspberryPi 5 and the robot driver expansion board significantly enhances the AI performance of Raspbot V2!

[AI visual technology] Using OpenCV as the image processing library, using the FPV camera to identify and locate the target,equipped with HD wide-angle camera and digital servo,it can realize human posture estimation, three-dimensional object recognition,face detection, interactive gameplay:tag code recognition/tracking/following,face following,garbage recognition,autonomous driving map sandbox sign recognition.Play AI visual autonomous driving!

[Multiple control methods] Raspbot-V2 can be connected through APP,PC,remote control,and handle,and FPV transmits images.Android and iOS APP can be used for remote control of robots.Through the APP,you can control the robot in real time and switch various AI games with just one click.

[Excellent hardware configuration] Equipped with Pi5 robot driver board,communicates with Pi5 via I2C, and supports Pi5 PD (5V/5A) power supply.The metal chassis is equipped with TT motors and Mecanum wheels to achieve 360°moving;it adopts a four-way patrol module,infrared patrol sensors with 4-way high-precision infrared probes;Ultrasonic waves to achieve distance measurement,obstacle avoidance,and following;with an OLED screen to view the main control temperature data in real time.

[What do you get?] You will get a programmable metal chassis structure robot kit,you need to assemble the camera, main control,and expansion board yourself.With rich tutorials and open source Python code,Raspbot-V2 is a perfect platform for Raspberry Pi 5 robot learning,where you can learn ROS, Python programming,Open CV technology and AI vision,shorten the project development cycle and fully experience AI!

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Yahboom Raspberry Pi 5 Robot Track Tank Car Kit with Robotic Arm Artificial Intelligence Learning Electronic Programming for Teens Adults (Transbot-SE without Pi)

Single Board Computers Raspberry Pi Starter Kits

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Advanced AI Vision with ROS Starter Kit: Transbot SE Tank Robot Kit is developed based on the ROS system, programmed using Python and C++, designed for AI artificial intelligence projects. It enables various AI vision recognition and visual control internet operations, suitable for beginners in ROS and AI vision advancements for Jetson Nano and Raspberry Pi projects. For those who wish to delve deeper into ROS, we highly recommend Yahboom Transbot.

High-quality Aluminum Alloy Off-road Chassis Robot Car: By following the installation video in the details, you will obtain a desktop-level tank track robot equipped with a 3-degree-of-freedom robotic arm and a 2-DOF camera gimbal. The versatile expansion board allows for deep development. The 4400mAh rechargeable battery, combined with 520 reduction encoder motors, provides ample power for the car.

AI Learning Framework: Implements OpenCV image processing, human feature, QR/AR recognition, visual tracking of faces and objects, MediaPipe machine learning, and more using an AI camera. Achieve gesture-controlled manipulation and explore other interesting project activities by camera with the robotic arm. Intelligent servo robotic arm allows for research on projects such as Movelt simulation and Cartesian path planning.Transbot SE is a fully functional,cost-effective project development kit.

Multiple Remote Control Options: Transbot SE tank robot can be controlled using Yahboom's app for an excellent control experience, or via a gamepad for superior handling. It can also be programmed and controlled through Jupyter web interface. Multiple control methods can be used to achieve multi-vehicle formation control.

Technical Documentation Provided: Transbot SE offers two versions to choose from, compatible with Jetson Nano and Raspberry Pi. Yahboom provides comprehensive documentation and technical support for this DIY product. If you have any questions, please contact the seller or technical support for assistance promptly.

Please Note: The remote controller is not included in the package

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Yahboom Robot Arm Kit 6DOF for Raspberry Pi5 AI Programmable Electronic DIY Robot Hand Building with Camera for Adults ROS Open Source (RPI-DOFBOT Without Pi)

RC Robotic Toys

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[Artificial Intelligence Robotic Arm with Camera] Robotic arm comes with camera to achieve FPV video transmission. The robotic arm can recognize colors, specific gestures and faces, respond to the recognized gestures and track the recognized faces, track the corresponding colors, and grab the corresponding designated color objects. These recognition, tracking and grabbing actions fully reflect the AI bionic characteristics of robot arm. DOFBOT starts to take you into the field of AI robotics.

[DOFBOT Motion Control] Robotic arm not only has its own fixed action group, but also can perform custom actions. In terms of control method, we can use the Master Machine to control the Slave Machine to achieve remote operation of real-time transmission of action gestures. What's more,the ros system can be used to build obstacle models, so that the robotic arm can avoid opening the obstacles to operate. Flexible arms can complete complex tasks for you

[Freely enjoy 5 control methods] The programmable robot arm kit can use the multi-function APP (Android/iOS) to operate most of the functions; the kit is equipped with a USB gamepad remote control to achieve the best control feeling; it can also be used PC upper computer view image transmission; 3D simulation model construction of ROS system; Jupyter Lab webpage online programming. 5 kinds of interconnected control methods can enjoy the fun of robotic arm

[Top Configuration] Dofbot uses 15kg smart serial bus metal gear digital servo, which is conducive to separately controlling and reading the angle of each steering gear; equipped with a fully functional expansion board, reserved for continued expansion; the robotic arm is made of fully anodized aluminum alloy with a beautiful and strong structure

[Easy to Get Start & Online Technical Support] The assembled robotic arm can be controlled directly by simply installation and quick connection to the network (Based on the factory burned image). However, this robotic arm is for DIY makers with basic Python programming knowledge. Yahboom provide a large amount of course materials and online technical support is available. If you encounter difficulties, pls contact Yahboom. ***Raspberry Pi 5 (4G or 8G) is recommended

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Yahboom Jetson Orin NX 8GB Robotic Arm 3D Depth Camera Visual Recognition AI Intelligent ROS Robot Python Ubuntu(Standard-OrinNX 8GB)

RC Robotic Toys

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[Powerful ROS Master] 3 ROS master controllers are available,equipped with Jetson Nano 4GB,Orin Nano and Orin NX development boards,which inject more powerful performance into DOFBOT-PRO greatly improving its AI performance in multiple fields such as mechanical control.AI vision applications and 3D depth,and making image recognition processing smoother.Support MediaPipe develop and Movelt.

[New 3D Space Tech] DOFBOT-PRO is equipped with a 3D depth camera.Combining 3D vision tech with robotic arm control to achieve depth distance measurement,recognition,and height measurement.Use the robotic arm to identify,track,and grab target objects in three-dimensional space.Through the inverse kinematics algorithm,DOFBOT-PRO realizes high-level AI projects such as arbitrary grasping,sorting,and handling in 3D space.Play with 3D AI vision!

[Cross-Platform Robot Control] Provides Yahboom Robot APP control (compatible with Android),wireless handle,robot operating system (ROS) and keyboard,allowing you to control the robot as you wish.

[Hardware Configuration] The flagship version is equipped with a 10.1-inch high-definition IPS display and supports free angle adjustment;it includes a 6DOF visual robotic arm,uses an intelligent serial bus servo and is equipped with a binocular 3D depth camera at the end of the robotic arm.The measurement range can reach 5 meters,accurate measurement,and provides a first-person perspective to realize high-level AI projects in three-dimensional space.

[What will you get?] You will get a programmable metal structure robotic arm,and you need to assemble the main control,expansion board,and display by yourself.With rich tutorials and open source code, DOFBOT PRO is the perfect platform for learning AI visual 3D depth point cloud,where you can learn ROS,Python programming, Open CV technology,and AI vision,shorten the project development cycle, and fully experience AI!

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Yahboom Multifunctional Programming Development Board for Raspberry Pi Jetson Nano Orin Building ROS1 ROS2 Robot Expansion Board with 9-axis IMU Sensor STM32F103C8T6 Core (ROS Expansion Board)

Single Board Computers Raspberry Pi Starter Kits

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Compatible with multiple development boards: Compatible with Raspberry Pi Jetson series development boards, Sunflower Pi, industrial control board development boards, and also has multiple power supply interface outputs, providing stable power supply for DIY expansion boards.Note: Development Board is temporarily NOT compatible with raspberry Pi 5

Rich peripheral interfaces: The expansion board supports 4-way encoder motors, which can drive various vehicle types, such as mecanum wheels, four-wheel differentials, tracks, etc.; it also supports PWM servos and serial bus servos, which can adapt to various forms of robot arm development; it also supports USB serial communication, CAN bus communication, and SBUS bus communication.

Multi-functional robot expansion board: The control board is equipped with a 9-axis IMU attitude sensor, which can obtain real-time posture information of the robot and is widely used in ROS robot kit development.

Fully open source data: Provides basic peripheral driver routines written in STM32CUBEIDE, including driving encoder motors, PWM servos, serial bus servos, reading and solving 9-axis attitude sensor data, and controlling multiple communication interfaces; open hardware schematic, which is more user-friendly when used with the driver routines.

Support ROS1 and ROS2

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Yahboom Micro:bit DIY Coding Science Building Kit Smart Toys Car Robotic Kit Learning Educational STEM Projects for Kids Ages 8-12（Without Microbit）

Educational Science Kits

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Programmable robot car based on Micro:bit is a tiny programmable computer, designed to make learning and coding easy and fun! Tiny:bit is a robot based on micro:bit, small and portable, and most importantly, it is cheap and easy for every child.（Note: Please consider whether you need to include the Micro:bit version，Without microbit, robot cannot work）

Graphical programming ：Makecode Editor online graphical programming is a great place to train the logical thinking for new coders. It's up to you to decide if you wants to follow the guide or DIY it with your own imagination to make your tiny:bit completely differ from everyone else.

Mini multi-function robotice ：Don't judge it by size, he is a real robot that has many modes to play with, like obstacle avoidance, line-follow and etc. It is easy to build within 5 mins and can be controlled by remote or smartphones through Yahboom App (iOS/Android).

Science educational Toy: Mini tiny:bit car is a great STEM toy to play with and suitable for kids of 8 years old or above.For advanced users, we have designed a number of sensor-compatible ports to extend the sensor to achieve more customized features and create endless possibilities.

Rich online tutorial : All Yahboom robots offer detailed instructional courses. As long as you have the ability to read, even if you have no programming foundation, you can easily learn. Technical support to reply to your help email at any time. Compatible with micro:bit V2

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Yahboom K210 Vision Sensor Module for UNO RaspberryPi AI Smart Camera Open-Source Code,Face|QR|Object| Color| Road Sign Recognition, Feature Detection,Line Tracking

Single Board Computers Raspberry Pi Starter Kits

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1Tops computing power, efficient image processing capabilities: The K210 vision module is equipped with an efficient AI chip, a 2 million pixel OV2640 camera, and a built-in 2.0-inch LCD capacitive touch screen. It can process image data at a very fast speed while consuming low power, supporting various application scenarios such as face feature recognition, barcode recognition, object detection, color recognition, and visual line tracking.

Simplified AI vision development learning: The Smart Vision Sensor uses MicroPython programming, with CanMV as the development environment. According to Yahboom's tutorials, users can skip the complex process of deploying visual algorithms and only need to record 5 images to complete autonomous model training, lowering the learning and use threshold of AI technology.

Multi-controller compatibility: The K210 vision recognition module is equipped with a serial interface and can be used with various controllers such as STM32, Raspberry Pi Pico, Arduino, BBC-V2, etc. Users can easily output visual recognition results to an external controller through the serial port, without the need to delve into complex visual algorithms, making it easy to create creative AI projects.Identify multiple colors simultaneously

Open source code: The program source code of the Smart AI Lens Kit is completely open source, not a closed-source product that can only be used without further development. This enables users to more easily develop and customize their own visual application programs. In addition to powerful AI recognition functions, we also provide rich development materials to facilitate users to learn and develop their own AI projects.

Diverse application scenarios: The compact K210 vision module can be widely used in electronic competitions, efficient experimental teaching, robot extensions or personal DIY projects, and even widely used in various fields such as smart homes, industrial automation, etc., providing users with more possibilities and innovation space.

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Yahboom Jetson Case for Jetson Nano Orin Nano Orin NX Heat Metal Mini Protect Case with Cooling Fan Antenna RGB Light OLED Screen

Computer Cases

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[Complete Accessories, Compatible with Multiple Development Boards] Yahboom CUBE nano case is compatible with NVIDIA's Jetson series development boards, including the official Orin nano and SUB, Orin NX, and Jetson Nano B01, etc. The case kit includes essential components such as the shell, antennas, cooling fan, RGB light strip, expansion board, and OLED display screen, providing a comprehensive package that allows you to get started immediately.

[Compact Mini Design with Decorative Lights] The metal shell of Yahboom is custom-designed for Jetson development boards, with interfaces that perfectly fit and support the installation of light fans and RGB light strips, making this case resemble a mini computer host case.

[Efficient Cooling and Dust Protection] With the dual-channel design and C-type metal cold-rolled plate as the main material, the case is not only sturdy and durable but also facilitates efficient cooling. The upper and lower magnetic suction plates effectively isolate dust, ensuring effective protection.

[Real-time Monitoring of Case Data] The expansion board reserves space for installing an OLED screen, which allows you to monitor real-time data such as the development board's temperature, CPU usage, disk space, memory, and IP address. This not only protects the development board but also makes it more convenient to use.

[Easy Installation] The case requires manual installation, and Yahboom provides installation videos, case driver materials, and online technical assistance to facilitate the process.

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Yahboom MicroROS Robot Robot Kit ROS2 Artificial Intelligence 3D SLAM Mapping Navigation AI Visual Recognition ROS2 Without ESP32 Camera (Standard Edition)

RC Robotic Toys

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Robots use virtual machines as their main control system to efficiently implement ROS2 applications via microROS on resource-constrained hardware platforms. This approach eliminates the need for expensive Linux edge computing devices like Jetson or Raspberry Pi, enabling cost-effective learning of ROS2, improving algorithm computation efficiency, and expanding DIY ideas.

Using microROS, the robot can transmit chassis data to a PC virtual machine, enabling LiDAR mapping navigation, path planning, navigation obstacle avoidance, tracking, LiDAR guard and patrol, as well as multi-robot navigation. It supports Rviz simulation, providing intuitive visual feedback to help users understand the status and operation of LiDAR, map construction, and path planning. This makes it an excellent tool for learning ROS robot programming knowledge.

The microROS robot kit features a fully enclosed metal chassis structure that neatly conceals exposed wires, presenting a tidy and aesthetically pleasing appearance. Constructed from anodized aluminum alloy material, it is durable and wear-resistant.

ROS smart robot with ORBBEC MS200 TOF lidar supports indoor and outdoor mapping navigation, and measurement speed is accurate and fast; expansion board integrates ESP32S3 dual-core development board, has rich ROS2 driver controller onboard, comes with its own peripheral driver firmware program. Directly connected to ROS2 environment for use, simple and efficient; 7.4V-2000mAh battery life 5Hs, MD310Z20 metal encoder motor.HP accessories provide a solid foundation for smooth robot programming

Yahboom offers original practical and theoretical courses, including comprehensive tutorials on low-level hardware drivers, robot control and gameplay, as well as the setup of Linux operating systems, Docker development environments, ROS2, and microROS control board development environments. These rich tutorials help users quickly learn, and if there are any difficulties, professional technical support is available from Yahboom at any time.

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Yahboom 2-DOF Servo Pan-Tilt Kit for DIY Robot, Electric Platform with Metal Servo, Accessories for Camera or Robot Arms Bracket (2DOF metal servo without control board)

RC Servos

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[Sturdy Aluminum Alloy Material] The gimbal is made of solid anodized aluminum alloy material and CNC aluminum alloy rudder plate, with a thickness of 2mm, which is durable and increases stability.

[Industrial-grade bearings] The two-degree-of-freedom head is equipped with industrial-grade deep groove ball bearings, which can rotate smoothly, control flexibly and labor-saving, and have strong load-bearing capacity

[Reserved expansion holes] The two-dimensional electric gimbal bracket provides multiple M3 fixing holes. The top supports the installation of various sensors/cameras and other electronic equipment; the middle layer supports the installation of various sensors/cameras and other electronic equipment without the upper servo. The 4 M3 fixed copper pillars at the bottom allow the gimbal to be installed on the robot car/table as a whole.

[High-torque metal digital steering gear] 2DOF gimbal uses a metal copper-toothed digital steering gear with a microprocessor inside, which can amplify the traditional 50 pulses per second signal to 300 pulses per second, so that the steering gear has a higher output frequency. The response is also faster and the control precision is more accurate.

[Wide range of applications] The gimbal is designed for DIY electronics, Full metal bracket for building robot, robotic Arms, PTZ cameras, Raspberry Pi HQ camera and more, robot DIY kit, with 270° and 180° rotation, which adds more possibilities to your robot project (the gimbal's load capacity is ≤10kg)

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Yahboom Microbit V2 Coding Smart Robotics Toys DIY STEM Science Education RC Car Kit for Kids 10+ Compatible with BBC Micro bit Classroom Teaching Props Preferred

Educational Science Kits

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[Programming Education Kit Designed for Microcomputer Micro:bit] Micro:bit integrates an acceleration sensor, a magnetic sensor, two programmable buttons, 25 monochromatic LEDs, and other commonly used sensor devices in a small volume. It is a microcomputer for STEM coding education for young kids. Yahboom robot car is a collection of Micro:bit board, learning kits, and expansion boards.

[Innovative Ways to Explore the Science of Robotics] Micro:bit robot toy car is a great way to start learning entry-level coding skills. By combining coding with games, it attracts new coders to overcome challenges and have fun learning in the process.Help improve their creativity and stimulate your child's interest in science at the same time. Microbit has been included in the learning curriculum by thousands of schools.

[DIY Exercise Finger Flexibility and Logic of Thinking] You only need to screw a few screws and press on the wheels to complete the assembly of this smart car. There are installation videos to help you. The data line is designed to prevent reverse connection, so there is no need to worry about link errors.With more than 30 chapters of courses, initial use videos, and online technical support at any time, you can definitely create your own robot .

[Graphics + Python Programming] Save the tedious steps, plug in ubs, open the micro:bit programming page, just drag and drop the color module to implement graphics programming, which is designed for parents and children without basics. If kids need further study, Yahboom also provides Python programming tutorial. If you encounter difficulties, please contact Yahboom technical support in time.Training classes and project organizations, classroom teaching props are preferred

[Multi Functional] Robot car supports multiple functions-- tracking, ultrasonic obstacle avoidance, following, light discoloration, singing, playing music, etc. Multi-function expansion board as chassis of the vehicle, it is equipped with RGB lights, sensors, buzzers, various module interfaces and so on, Besides, it can drive 2 DC motors and 3 servos simultaneously.Provide opportunities to expand the capabilities of robots.

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Yahboom Jetson Nano Robotic 18DOF Hexapod Kit DIY Programming Robot for Voice Recognition Depth Camera 3D Mapping Navigation (Ultimate Ver Without Nano)

Single Board Computers Raspberry Pi Starter Kits

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[ROS2 AI visual bionic spider robot] a six-legged robot programming kit specially developed for the robot operating system (Ubuntu). An intelligent robot based on Raspberry Pi or Jetson Nano, which can realize path planning, posture perception, somatosensory interaction and other functions, and provides artificial intelligence vision Convenient integrated solution for research and model training

[High-performance hardware configuration] the voice interaction module controls muto RS robot interaction; the Astra Pro Plus depth camera implements high-definition AI vision functions, and also processes depth image data, and three-dimensional navigation and mapping; the YDLIDAR 4ROS lidar meets the accuracy requirements of indoor and outdoor large scenes; The all-aluminum alloy chassis has a built-in IMU and a 9900mAh large-capacity battery. The six-legged robot kit is a cool project.

[Hexapod motion research, multi-platform control] The hexapod robot has 3 motion joint points on each leg, with a total of 18 degrees of freedom, bionic hexapod joint motion, 270° controllable 35kg intelligent serial bus servo, and free height adjustment ; Use APP, wireless controller and host computer to enjoy remote control. The combination of the controller and APP can realize first-view remote control of the robot and experience FPV real-time video transmission.

[Open Python source code, electronic online tutorials, and professional technical support services] Yahboom provides supporting ROS courses, including robot motion control, AI visual interaction, mapping navigation, docker container development, depth visual tracking, radar tracking and obstacle avoidance, 3D mapping navigation, Voice interaction and other related electronic tutorials for hexapod movement learning and verification, as well as online help with technical support at any time

[Version selection] Muto provides multiple versions. Muto S2 is an entry-level AI vision suite (ASIN: B0CKN9M711), and Muto RS is an advanced version of the ROS deep learning robot learning suite. Muto RS is also divided into Standard version, Superior version, and Ultimate version. , this link is for the Muto RS Ultimate version, if you need other versions, please contact the seller

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Yahboom FAQs

Is Yahboom Legit?

Yes, Yahboom is a legitmate brand on Amazon. After conducting a comprehensive analysis of 641 customer reviews for Yahboom products on Amazon, we have determined its average rating. Offering great value and satisfying quality, Yahboom has achieved a respectable rating of 4.1 from many customers, showing that its products meet customer expectations. While there may have been minor issues reported occasionally, overall, it is safe to make purchases from Yahboom on Amazon.

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