Yahboom Jetson Nano Ros2
Die 10 besten Produkte von Oktober 2025
Letzte Aktualisierung:
10. Oktober 2025
Yahboom
Yahboom Jetson Nano B01 ROS2 Robot Car with Mapping Navigation and Depth Camera, Suitable for University Programming Projects (R2 Sta Ver with Nano)
99
MAXIMALE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#1 GEWINNER
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【Ackermann Steering Structure】The Rosmaster R2 robot car adopts the steering method of modern cars and adopts an aluminum Ackermann chassis structure. When the robot car turns, the angle of the inner ring is different, and the turning radius of the inner tube is smaller than the turning radius of the tire, which can maximize the performance of the robot car. R2 is compatible with ROS&ROS2, and Yahboom provides relevant ROS2 system programming information.
【Rosmaster R2 has 3 versions (standard version, deluxe version, ultimate version)】It can be used with 4 development boards (Raspberry Pi 5, Jetson Nano 4GB, Jetson Orin Nano SUPER, Jetson Orin NX SUPER), depending on the version you choose. Please note that a development board is included. If you would like to reduce the amount of hardware in your kit (e.g. depth camera, ridar, etc.), please contact Yahboom first.
【Based on robot operating system】is equipped with high-performance hardware such as lidar, depth camera, and voice interaction module. It can realize applications such as robot motion control, remote communication control, measurement navigation, obstacle tracking, automatic driving, human body feature action recognition, and voice alternating control. Yahboom provides tutorials, source code and professional technical support. All documentation,including installation instructions is English.
【Multi-platform linkage】Supports multiple remote control methods. For example, mobile applications, steering wheels, ROS systems, computer keyboards, etc. It is an artificial intelligence robot that listens to your commands. You can control your robot car and import your code at any time. Note: Map navigation app is only compatible with Android phones.
【Excellent hardware configuration】Aluminum alloy body, 360° omnidirectional Mecanum wheel, optional lidar, high-quality depth camera, optional voice interaction module, professionally designed expansion board. Support more development. Provide professionals with exploration models, learning algorithms, acquisition of unknown area terrain, deep learning AI visual recognition, research on autonomous driving, exploration of 3D object recognition, etc.
779,00 € AUF AMAZON
Yahboom
Yahboom ROS2 Robot Jetson Nano 4GB Sub Mecanum Programmazione Docker Python Apprendimento Kit robotico Mappatura Lidar Navigazione Profondità Immagine Analisi 3D (Nano Advanced Ver-with Nano)
96
BESTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#2
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【ROS Robot Learning Kit】The newly upgraded version is compatible with Orin Nano SUPER and Orin NX SUPER robot kits, and can provide stable power for the SUPER kits. We provide 5 ROS X3 development board versions, and multiple accessory versions are available. Orin Nano SUPER, Orin NX SUPER, Jetson Nano and RPi5. The performance issues of different development boards are different.
【AI Visual Explore】Equipped with ROS1/ROS2 operating system; ridar: can use voice to control multi-point navigation, supporting path planning and independent exploration and mapping;RTAB-3D mapping and navigation, and depth image data can be used to obtain real size information; AI visual depth gameplay: attitude detection, overall detection, and three-dimensional detection and recognition can be completed through MediaPipe development; YOLO model training, TensorRT.
【Multi-platform control】Compatible with a variety of remote control methods, including mobile phone remote control APP, game controller, ROS system, PC computer keyboard and Jupyter Lab control, etc. Suitable for multi-scene control use. *Mobile APP control supports iOS/Android. Compatible with ROS1/ROS2, Ubuntu22.04
【Excellent hardware configuration】Aluminum alloy chassis, 360° omnidirectional Mecanum wheel, all-round movable robot; optional radar, high-quality depth camera, voice alternation module, display screen, professionally designed expansion according to different versions panel. Professional ROS robot supports more DIY development. Users can re-develop existing courses and learn from them.(If you would like custom accessories, please contact Yahboom)
【Rich materials and technical support】Provide 204 bilingual video courses and online technical help. The course content includes: ROSMASTER X3 assembly, Linux operating system, ROS and openCV series courses, depth camera and radar exploration, which is a deep learning process. From pictorial navigation lectures and simple to deep learning measured navigation. Material website: http://www.yahboom.net/study/ROSMASTER-X3
809,00 € AUF AMAZON
Yahboom
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（with Nano 4GB SUB Ver.V）
95
TOP QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#3
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【Based on ROS Programmable Intelligent Educational Robot Kit】 Transbot uses Rviz, TF, Qt, Navigation and other tools, combined with lidar and high frame rate cameras to realize 2D mapping navigation, path planning and other functions. learn ROS from scratch and build ROS robotic car.（★Note: check the version you ordered carefully，Transbot has 25 versions in total, and different versions contain different accessories. Please pay attention to whether the version contains a development board.）
【Lidar Scanning 2D Mapping Navigation】Crawler robot kit is equipped with Silan A1 lidar, which can complete indoor 2D plane scanning and mapping, single point and multi-point navigation, and realize obstacle avoidance and following. (★Note: ROS robot APP doesn't support iOS, you can create map navigation on the PC）
【AI Function Combination】The robot integrates a wealth of AI functions, such as 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, ① Mobile remote control APP integrated with a variety of AI functions, ② handle control that can experience the FPV real-time visual effects, ③ JupyterLab online programming and ④ 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 & Courses】Transbot has highly equipped aluminum alloy frame, anti jam bearing, SLAM lidar, coding gear motor, metal servo,Yaboom professional robot expansion board, HD camera with electric rotating pan tilt (Optional), which makes the robot have strong ability to cross obstacles. Other, Yahboom provides 64 video tutorials and detailed documentation. As long as you love ROS, it is robot that can 't be missed and professional gift that makers and programmers dream of.
1.139,00 € AUF AMAZON
Yahboom
Yahboom Jetson Orin Nano SUPER 8GB Development Kit 67 Tops IMX219 CSI Camera+Jetson Case +Development Board Ubuntu 22.04 ROS2 Data (Orin Nano 8GB Cam Advanced Kit)
90
HOHE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#4
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【Orin Nano SUB Performance】Equipped with 6-core Arm Cortex! A78AE v8.2 64-bit CPU 1.5MBL2 + 4MB L3 GPU, computing power increased to 34-67Tops, can run all modern artificial intelligence models. (4GB/8GB optional)
【Rich interfaces and powerful functions】 Built-in M.2 Key E wireless network module, the transmission speed is faster and more stable, and it supports 1000Mbps Ethernet, which can meet the needs of different network application scenarios. Built-in PWM adjustable fan, active heat dissipation, high-efficiency heat dissipation design; (Note: SUB motherboard does not have SD card slot)
【Official carrier board performance】This product adopts a new official carrier board design, uses more voltage-resistant components, and a more stable high-current power supply solution supports 25W power mode, supports POE power supply and POE power supply output, and supports one-button power on and off. Not only can avoid insufficient power to affect product performance, but also support more power supply schemes.
【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications.
【Wide range of application scenarios】 This product is suitable for AI robots, drone data processing, urban road recognition, medical data processing, robot dogs and other fields. Yahboom has a strong after-sales technical support team, providing Ubuntu 22.04 system and AI vision, ROS development materials.
409,00 € AUF AMAZON
Yahboom
Yahboom ROS2 Robot Car Ackerman Steering Chassis,AI Visual Recognition Embodied Intelligence AI for Jetson Nano B01 4GB,User Manual Included(A1-Sup-with-Nano-4GB)
84
SICHERE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#5
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【AI Large Model Interaction & Embodied Intelligence】Rosmaster A1 supports dual-model dynamic reasoning, enhanced RAG search, and free conversation interruption. It recognizes the described scene and boasts superior environmental perception, reasoning, and intelligent execution capabilities, enabling natural, smooth, and context-aware human-computer interaction.
【Controller Options for Diverse Applications】Rosmaster A1 Ackerman robot supports 5 different development board configurations: Jetson Orin Nano Super 8GB, Raspberry-Pi 5 (8GB), and Jetson Nano B01 4GB, catering to needs from beginners to advanced developers. Recommended for Orin Nano Super Version, high-performance deep learning research and computation, supporting more complex AI models.
【High-performance hardware configuration】Adopts Ackerman steering chassis to realize road sign and traffic light recognition, close to actual driving, helping users develop autonomous driving technology; equipped with Nuwa-HP60C depth camera+TminiPlus lidar/SLAM C1 Lidar, using high-torque 520 motor; large-capacity battery, battery life increased by 170%, and comes with a large-capacity TF card to meet multi-tasking needs.
【Relocalization SLAM Navigation】The upgraded SLAM with Relocalization system, high flexibility, requiring no environmental modifications. The map is stored in software, allowing for dynamic changes to tasks, paths, and destinations. It's ideal for complex, dynamic environments with frequent task changes. It also supports various AI applications such as SLAM mapping, path planning, object recognition, and target tracking.
【Open Source Ecosystem & Professional Support】Compatible with ROS2/open source code, it provides detailed tutorials and an SDK. Expandable with accessories like robotic arms and sensors, it's suitable for AI research, educational experiments, smart home control, and more. It's an excellent choice for STEM education and robotics programming enthusiasts.
555,00 € AUF AMAZON
Yahboom
Yahboom AI Voice Interaction Module, Voice Recognition and Broadcasting Functions, Custom English Voice Commands, Support ROS1, ROS2, Support Jetson/Raspberry Pi/ESP32/STM32
Kostenloser Versand
82
SICHERE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#6
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[Powerful English/Chinese voice interaction module] It has both voice recognition and broadcasting functions, uses high-fidelity speakers and high-performance microphones, supports English and Chinese, has strong echo cancellation and environmental noise reduction capabilities, can recognize voice commands within a range of 5 meters, and the actual recognition accuracy rate is as high as 99%.
[Flexible, rich voice command library] Supports voice modification of wake-up words directly, without text input. There are more than 110 preset English voice interaction commands, which can be connected to the computer via the Type-C interface. It supports custom modification of English/Chinese voice commands and broadcast voice types. Command changes can be completed after burning the new firmware, which is convenient and fast.
[Connection and Usage] The Type-C interface can be directly connected to embedded master controllers such as Raspberry Pi through the USB port without driver, reducing pin occupancy; it supports communication with external controllers through serial port or IIC, and multiple communication methods are suitable for most master controllers.
[Strong installation compatibility] The horizontal bar holes can adapt to the holes of different robot car brackets and can be installed flexibly. Comes with a variety of connection cables (PH2.0 to DuPont cable, double-head cable, Type-C cable)
[Fully compatible development support] Provides development board information such as STM32, ESP32, Ard-uin-o, Raspberry Pi, Jetson Nano, Jetson Orin, etc., supports ROS1/ROS2 system SDK, and meets the development needs of multiple scenarios such as smart hardware, robots, and homes.
18,99 € AUF AMAZON
Yahboom
Yahboom Microros Driver Board ESP32 Development Board Supports Raspberry Pi 5/4B/Jetson Nano/Orin Nano/ROS WiFi Control, with ROS1/ROS2, 310 Motor, PWM Servo Controller, Electronic kit DIY
81
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#7
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【Lightweight ROS2 Driver Extension Board】The microROS expansion board integrates the ESP32S2 core module, enabling ROS2 programming via WiFi-UDP with a remote PC virtual machine. This approach achieves ROS2 system learning at minimal cost. Additionally, it supports direct serial connection for remote control of ros robot cars using the latest Raspberry Pi 5, Jetson Nano, or RDK main control development boards.
【Compatible with the latest Raspberry Pi 5】 The expansion board supports the power supply protocol of Raspberry Pi 5 and has the same mounting holes as the Raspberry Pi, making it a perfect fit. Raspberry Pi 5 can complete remote communication and serial communication.
【Expansion board input and output interface】The input interface supports six-axis IMU, MS200 line sequence laser radar, Hall encoder motor, and custom buttons; the output interface supports 9G servos, LED indicators, buzzers, and motors. Power supply voltage supports DC6.5V-12.6V (7.4V recommended)**Line sequence is very important, please check the diagram to confirm the line sequence problem
【The expansion board has a stable power supply system】The microROS expansion board has reverse connection, short circuit, overcurrent, and USB communication protection. It also has a built-in high-performance voltage stabilizing circuit and can output a power supply current of up to 5.1V/5A.
【With open source information】Yahboom provides ESP32 basic peripheral driver routines, MicroROS development environment construction, and MicroROS basic usage tutorials, including driving encoder motors, PWM servos, reading IMU six-axis attitude sensors and radar data, WiFi and serial ports communication.Data link: http://www.yahboom.net/study/MicroROS-Board
63,00 € AUF AMAZON
Yahboom
Yahboom Jetson Orin Nano 8 GB SUB Entwickler-Kit unterstützt Super basierend auf Modul mit 256 GB SSD Acrylgehäuse ROS2 Ubuntu22.04 (Orin Nano 8 GB SUB Basis Kit)
77
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#8
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Kernparameter: AI Perf: 67 TOPS GPU: 1024-Core NVIDIA Ampere Architektur GPU mit 32 Tensor-Kernen CPU: 6-Core Arm Corte-A78AE v8.2 64-Bit CPU 1,5 MB L2 + 4 MB L3 Speicher: 8 GB 128-Bit LPDDR. 5 68 GB/s Speicher: externes NVMe über M.2 Key M
Unterstützt durch großes Al-Modell, verbesserte Mensch-Computer-Interaktion: Jetson Orin Super nutzt drei KI-Modelle und verfügt über ein KI-Sprachinteraktionsmodul. Dieses multimodale visuelle System entspricht der beschriebenen Szene und ermöglicht so Umweltbewusstsein und visuelles KI-Gameplay. Kombiniert mit einem großflächigen Sprachmodul und einer Kamera ermöglicht es Sprache-zu-Text, semantische Analyse, natürliche Gespräche und Echtzeit-Videoanalyse, wodurch erweiterte verkörperte KI-Anwendungen ermöglicht werden.
【KI-Upgrade】 Die Module der Jetson Orin Nano-Serie sind kompakt in der Größe, können aber bis zu 34–67 TOPS KI-Leistung liefern, mit einem Stromverbrauch von 7 Watt bis 25 Watt. Im Vergleich zum Jetson Nano B01 bietet er eine bis zu 80-fache Leistung und setzt einen neuen Standard für Einstiegs-Edge-KI
【Hochkompatible Trägerplatine】Yahbooms Trägerplatine ist voll kompatibel mit Orin-Nano-Modul. Im Vergleich zu Trägerplatinen, die Jetson Nano auf dem Markt verwenden, unterstützt die neu aufgerüstete Schaltung den 25-W-Leistungsmodus, der größere und komplexere neuronale Netzwerke ermöglicht und die Leistung des Kernmoduls vollständig nutzt. Die Ressourcen, Größe und Schnittstellen der Yahboom Trägerplatine stimmen mit der offiziellen Platine überein, mit dem einzigen Unterschied der Ein-/Ausschalter-Taste.
【Tutorial-Materialien】Das Jetson-System basierend auf Ubuntu 22.04 bietet eine komplette Desktop-Linux-Umgebung mit beschleunigter Grafik, unterstützt NVIDI-ACUDA 12.6, TensorRT 10.7.0, cuDNN 9.6.0, OpenCV 4.10.0 usw. Die Leistung auf AI LLM, VLM und visuellem Transformer ist im Vergleich zur vorherigen Generation deutlich verbessert.
472,64 € AUF AMAZON
Yahboom
Yahboom MicroROS Robot AI Visual Machine PC Control ROS2 AI Visual Recognition, SLAM Mapping Navigation Face Detection OpenCV WiFi Web Camera Module, APP Video Control
74
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#9
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MicroROS Robot is a ROS2 smart car controlled by a PC virtual machine. The performance of PC is greatly improved compared to motherboards such as Raspberry Pi and Jetson. It also supports flexible adjustment and expansion of virtual machine system resources, and can easily back up and restore the system. . No need for expensive Raspberry Pi or Jetson development board, use ROS2 to program robots at low cost.
MS200 is fully compatible with ROS2, supports indoor and outdoor, supports 360° scanning and detection, and realizes three-dimensional mapping; the MicroROS control board supports WiFi, Bluetooth, serial port and other communication functions, supports power supply for Raspberry Pi 5PD, and can be directly connected to the ROS2 environment for use. Easy to use and efficient; built-in 310 motor, the metal material is wear-resistant and durable and provides precise and stable motion control.
New AI visual recognition function.The AI visual image transmission version adds a two-degree-of-freedom camera gimbal configuration to the standard version, supports running OpenCV image processing and Mediapipe machine learning algorithms, and can expand AI visual recognition and interactive gameplay. Please note: This feature is the AI vision version only.
Functional Project.The robot transfers chassis data to the PC virtual machine through microROS to realize lidar mapping navigation, path planning, navigation obstacle avoidance, tracking, radar guarding and patrolling, and multi-machine navigation. It supports Rviz simulation and provides intuitive screen feedback. Help users understand the status and operation process of radar, map construction and path planning.
Yahboom provides courses.Including comprehensive low-level hardware driver tutorials,robot control and gameplay,as well as Linux operating system, Docker development environment,ROS2, microROS control board development environment construction, etc. Rich tutorials help users learn quickly.Parents love this robotics kit because it's a fun and educational way to introduce their children to the world of robotics.The best toy educational robots for teaching STEM skills, coding,and programming.
279,99 € AUF AMAZON
Yahboom
Yahboom ROS Depth Camera Nuwa-HP60C Camera ROS Robot 3D Vision Mapping and Navigation Compatible with ROS2/RaspberryPi/Jetson/PC (Nuwa-HP60C Depth Camera)
68
GUTE QUALITÄT
AUF AMAZON ANSEHEN
Amazon.de
#10
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【3D visual imaging technology】Using structured light 3D imaging, the camera can provide high-precision depth maps for objects within a range of 0.2 to 4 meters, which is very suitable for various depth modeling applications, meeting the robot's indoor environment usage scenarios to ensure the integrity of the depth camera's three-dimensional visual mapping, navigation and mapping.
【High-performance depth computing】The built-in depth computing chip is designed for the robot's obstacle avoidance function, effectively eliminating the need for external computing resources.
【Support AI functions】A variety of AI functions such as OpenCV, AR vision, gesture control, motion capture, etc. are implemented, suitable for various human-computer interaction scenarios. It provides an effective solution for robot perception, obstacle avoidance and navigation.
【Wide compatibility】Supports RaspberryPi, NVIDI-A JETSON series controllers, PCs and industrial personal computers. Supports ROS, Raspberry Pi, JETSON series, RDK series robots.
【Provide information】Supports ROS1/ROS2 systems and provides related SDKs, which is very suitable for robot and 3D vision development. 2 versions are available: separate depth camera; separate depth camera + adjustable bracket.
133,99 € AUF AMAZON
yahboom jetson nano
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