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Waveshare Robot Jetson

Die 10 besten Produkte von Juni 2025
Letzte Aktualisierung: 9. Juni 2025
Waveshare
Waveshare
Waveshare JetBot AI Kit Accessories Add-ons for Jetson Nano Developer Kit and B01 Version to Build JetBot Smart Robot with Expansion Board Onboard TB6612FNG Dual H-Bridge Motor Driver
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98

MAXIMALE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#1 GEWINNER

  • Note: The new Jetson Nano 2GB Developer Kit is NOT supported；NVIDIA OFFICIAL RECOMMENDATION! Note: Jetson Nano is NOT included. Note: this product requires three 18650 batteries to work, which are NOT included and should be purchased separately.
  • Welcome the JetBot, an actual smart robot powered by Jetson Nano. With the intelligent eye (front camera), facial recognition, object tracking, auto line following, and collision avoidance can be easily achieved. It also comes with ROS nodes code, which makes it easy to get started with the open source ROS (Robot Operating System), and to learn the system framework and concepts of ROS.
  • Adopts 3x 18650 batteries (NOT included), high battery capacity, up to 12.6V voltage output, more powerful driving force.
  • Integrates S-8254AA + AO4407A lithium battery protection circuit, provides protections for over-charge, over-discharge, over-current, and short circuit.
  • Onboard APW7313 voltage regulator, provides stable 5V voltage for the Jetson Nano. Onboard TB6612FNG dual H-bridge motor driver. Onboard 0.91inch 128×32 pixels OLED, allows to display robot IP address, RAM, battery life, etc. Onboard ADS1115 AD acquisition chip for monitoring the battery in real time.
  • 139,99 € AUF AMAZON
Waveshare
Waveshare
Waveshare JetRacer Professional Version ROS AI Kit, Dual Controllers AI Robot, Lidar Mapping, Vision Processing, Includes Waveshare Jetson Nano Dev Kit 4GB (NOT Support Nano 2GB)
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96

BESTE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#2

  • This kit provides Waveshare Self-produced Jetson Nano Dev Kit. Provide online user manual, please check the manual carefully before using!
  • This product requires 3x18650 batteries(NOT included) to work. High battery capacity, up to 12.6V voltage output, more powerful driving force. Integrates S-8254AA + AO4407A lithium battery protection circuit, provides protections for over-charge, over-discharge, over-current, and short circuit. The power supply in this kit is for battery charging only, and will not power the Jetson Nano directly
  • Waveshare Jetson Nano Dev Kit is the alternative solution of B01 kit, with the Jetson Nano B01 eMMC version module and the Waveshare JETSON-IO-BASE-A carrier board, providing almost the same performance and appearance as the Jetson Nano Developer Kit (B01). The B01 kit on board is a non-production specification Jetson Nano module, mainly for development and software testing, while the Jetson Nano B01 eMMC version is more suitable for users to integrate in production environments
  • 8MP High Definition resolution, 160° FOV wide angle camera. AC8265 wireless NIC, 2.4G/5G dual-band WiFi, Bluetooth 4.2. 0.91inch 128×32 pixels OLED
  • Please properly keep the products' original packing box and accessories (if any) for warranty service, For Waveshare Jetson Nano Dev Kit 4GB, it includes: The Jetson Nano module, JETSON-IO-BASE-A carrier board and official heatsink. Please refer to the part list for detailed package contents
  • 556,99 € AUF AMAZON
Waveshare
Waveshare
Waveshare Jetson Nano Development/Expansion Kit, 16GB eMMC, Alternative Solution of B01 Kit Compatible with Both Jetson Nano and Jetson Xavier NX with Jetson Nano Core Module
Kostenloser Versand
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96

BESTE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#3

  • Based on AI computers Jetson Nano and Jetson Xavier NX, providing almost the same IOs, size and thickness as the Jetson Nano Developer Kit (B01), more convenient for upgrading the core module.
  • By utilizing the power of core module, it is qualified for fields like image classification, object detection, segmentation, speech processing etc. and can be used in sorts of AI projects.
  • The Carrier Board Is Compatible With Jetson Nano And Jetson Xavier NX Convenient For Hardware Upgrading
  • Supports 2-Lanes CSI Camera, Suitable For Binocular Vision Applications Such As Parallax Algorithm Ranging, Facial Recognition, Organism Detection, VR Video Recording...,USB3.0 High Speed Data Transmission, Allows More USB Peripherals
  • Supports DisplayPort And HDMI High Definition Ports,Color-Coded Header Pins With Clear Labels, Handy For Use
  • 219,99 € AUF AMAZON
Waveshare
Waveshare
Waveshare Wave Rover Flexible and Expandable 4WD Mobile Robot Chassis, Full Metal Body, Multiple Hosts Support, with Onboard ESP32 Module
Kostenloser Versand
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89

HOHE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#4

  • Equipped with N20 reduction motors that use high-quality gearboxes, enabling it to travel at a high speed of 1.25m/s. The flexible rubber tires significantly reduce the impact of complex terrains on the product. It features a 0.91-inch OLED screen for interactive purposes. The product is designed with a charging interface and automatic download circuit, allowing it to be used while charging
  • The UPS power module on board contains an INA219 acquisition chip, facilitating real-time monitoring of battery voltage and charging current. The UPS power module utilizes three series-connected 18650 batteries with a large capacity of 7800mAh, providing a higher output current and stronger motor power. It also offers 5V and 3.3V outputs for expanding other devices
  • The module includes a lithium battery protection circuit, offering functions such as overcharging, over-discharging, overcurrent, and short-circuit protection. The sample code is developed using Arduino IDE, eliminating the need for manual configuration of the compilation environment. The open-source resource includes planar drawings and chassis structural drawings, including 3D models, facilitating secondary development
  • Upon startup, the ESP32 automatically establishes a WIFI hotspot. Users can connect and log in to the control interface using a smartphone (Android/iOS) or a computer (Linux/Windows/Mac) with any Chromium-based browser, without requiring an app download. The entire code is open-source and comes with online rich development documentation and tutorials
  • The slave ESP32 can be used to drive DC motors and serial bus servos and supports interfaces for OLED screens, TF card slots, a nine-axis IMU module, WiFi, and Bluetooth. Even without installing an upper-level device, it can be used independently.The system can be extended with various host devices, using serial communication to transmit control data in JSON format
  • 128,99 € AUF AMAZON
Waveshare
Waveshare
Waveshare JETANK AI Kit, AI Tracked Mobile Robot, AI Vision Robot, Includes Waveshare Jetson Nano Dev Kit 4GB (NOT Support Nano 2GB)
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86

SICHERE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#5

  • This kit provides Waveshare Self-produced Jetson Nano Dev Kit. Provide online user manual, please check the manual carefully before using!
  • This product requires 3x18650 batteries(NOT included) to work. High battery capacity, up to 12.6V voltage output, more powerful driving force. Integrates S-8254AA + AO4407A lithium battery protection circuit, provides protections for over-charge, over-discharge, over-current, and short circuit. The power supply in this kit is for battery charging only, and will not power the Jetson Nano directly
  • Waveshare Jetson Nano Dev Kit is the alternative solution of B01 kit, with the Jetson Nano B01 eMMC version module and the Waveshare JETSON-IO-BASE-A carrier board, providing almost the same performance and appearance as the Jetson Nano Developer Kit (B01). The B01 kit on board is a non-production specification Jetson Nano module, mainly for development and software testing, while the Jetson Nano B01 eMMC version is more suitable for users to integrate in production environments
  • Collecting Data Via Camera By Taking Enough Images Of Different Conditions, Using The Data To Train The Neutral Network, Combined With AI Algorithm, Finally Achieving Auto Collision Avoidance On Sorts Of Environments
  • Please properly keep the products' original packing box and accessories (if any) for warranty service, For Waveshare Jetson Nano Dev Kit 4GB, it includes: The Jetson Nano module, JETSON-IO-BASE-A carrier board and official heatsink. Please refer to the part list for detailed package contents
  • 556,99 € AUF AMAZON
Waveshare
Waveshare
Waveshare JetRacer AI Racing Robot Kit Powered by Jetson Nano Donkey Car (Accessory Only) (Doesn't Support Nano 2GB) Supports Deep Learning Auto Line Following Autonomous Driving and So on
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80

GUTE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#6

  • [AI Racing Car] JetRacer is an autonomous AI racing car powered by Jetson Nano by interactive programming via web browser. It allows high frame rate processing due to torch2trt(PyTorch to TensorRT translator) optimizing, so that faster autonomous line following driving can be easily achieved.
  • [Highly Integrated JetRacer Expansion Board] Rechargeable, Battery Voltage Detection, No Messy Wiring, Simple Assembly
  • [Race Track Map Image]Provides digital 3mX2m large size track map image for your convenience
  • [Motor]37-520 motor,1:10 reducation rate, 12V voltage, 740RPM idle speed
  • The 18650 batteries are NOT included. Please note that the battery length SHOULD be less than 67mm, some batteries with protection plate in the market are NOT supported.
  • 342,99 € AUF AMAZON
Waveshare
Waveshare
Waveshare UGV Open-Source Rover 6 Wheels 4WD AI Robot, for Jetson Orin Series Board, Dual Controllers, with Multi-Functional Driver Board and 360° Flexible Omnidirectional Pan-Tilt
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79

GUTE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#7

  • ✅Kit Selection:Options for host controller (Jetson Orin Nano 4GB), or you can choose the Acce Version if you've got a Jetson Orin module (including its baseboard). This is a Acce version which DOES NOT include a Jetson Orin Nano 4GB Kit.
  • High-performance Dual Controller: the slave computer is ESP32, responsible for precise motor PID control and multiple sensor readings; the host computer Jetson Orin Nano offers high computational power. The two-layer architecture makes the robot run more efficiently.
  • Rich Tutorials: Offers rich JupyterLab, graphic and video tutorials covering various functionalities to help users quickly get started and use the robot, thereby accelerating the realization of innovative applications. Wide Viewing Angle: Equipped with a 2-degree-of-freedom, high-torque, flexible pan-tilt that provides a wide 360° viewing angle horizontally, and a 5-megapixel camera with a 160° wide-angle, it captures a wider range of images.
  • Robot Vision: Integrated with machine vision functions such as color, object and gesture recognition, face and motion detection, it can be extended for more applications. Abundant Interaction: Real-time video streaming, digital zoom, photo, video, and other functions, and WEB application of real-time video functions and robot information displayed on the screen to improve the user interaction experience.
  • Cross-platform Support: Supports cross-platform remote control without the need to install an app. You can follow tutorials to implement remote control beyond the local network using solutions such as Pgyer, Cpolar, LocalTunnel, and others.
  • Durable Structure: The 2mm thick aluminum alloy case provides outstanding structural strength and durability. High-Performance Drive Motors: Equipped with four motors with encoders, enabling closed-loop speed control. With a maximum speed of 1.3m/s, it delivers robust power.
  • All-Drive and High-Quality Tires: Featuring a four-wheel drive system paired with soft, non-slip rubber tires, ensuring excellent traction and stability on various terrains.
  • Expandability: features a mounting plate and Picatinny rails, facilitating the attachment of additional tactical accessories. On the hardware side, there are spare interfaces available for LED lights, which can be used for expanding peripherals such as water guns. Additionally, the product can be expanded with 4G or 5G modules, enabling users to explore more possibilities.
  • Open-source Code: The host controller is based on the latest version of the Raspberry Pi system (Debain Bookworm) development, WEB applications based on Flask, Python language, the software platform is all open source, easy for users to learn and secondary development.
  • 489,99 € AUF AMAZON
Waveshare
Waveshare
Waveshare JetBot 2GB AI Kit AI Robot Based On Jetson Nano 2GB Developer Kit (Doesn't Include 2GB Nano)(Only Supports 2GB Nano)
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77

GUTE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#8

  • Please note that the battery length SHOULD be less than 67mm, some batteries with protection plate in the market are NOT supported.The 18650 batteries are NOT included
  • Doesn't support 4GB Nano. Only supports Jetson Nano 2GB Developer Kit
  • This is an actual smart robot powered by NVIDIA JetBot AI project and the Jetson Nano 2GB Developer Kit, easily achieving AI functions like: facial recognition, object tracking, and self driving. Comes with ROS nodes code as well, which makes it easy to get started with ROS.
  • Supports USB Wifi Connectivity and gamepad teleoperation. Python Language
  • Comes with 8MP 160° FOV Camera IMX219 Sensor, 3280×2464 Resolution
  • 115,99 € AUF AMAZON
Waveshare
Waveshare
Waveshare UGV Beast ROS 2 Open-Source Off-Road Tracked AI Robot Accessories for Jetson Orin Series Board(NOT Included), Support Dual Controllers, with 360° Flexible Omnidirectional Pan-Tilt
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70

GUTE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#9

  • The lower host computer is ESP32, responsible for precise motor PID control and multiple sensor readings, while the upper host computer, Jetson Orin Nano(NOT Included), provides high-level arithmetic, and the two-tier architecture makes the robot run more efficiently. Provides rich JupyterLab interactive, graphic, video and ROS2 function tutorials, from introductory functions to advanced functions, users can learn how to control the robot while watching the tutorials
  • The upper computer is developed based on Ubuntu 22.04, the ROS2 function is developed based on Humble version, the WEB application is based on Flask, Python language, the software platform is all open source, which is convenient for users to learn and secondary development. Equipped with a 2-degree-of-freedom, high-torque, flexible gimbal that provides a wide 360° viewing angle in all directions horizontally, and a 5MP camera with a 160° wide-angle view to capture a wider range of images
  • Integrated machine vision functions such as color, object and gesture recognition, face and motion detection can be expanded for more applications. Real-time video streaming, digital zoom, photo, video and other functions, and WEB application real-time video function and robot information displayed on the screen to improve the user interaction experience. The 2mm-thick all-aluminum alloy housing provides superior structural strength and durability
  • The structure is equipped with an expansion plane and herringbone rail, which is convenient for expanding other tactical accessories; on the hardware, the LED light interface has a surplus, which can be used for expanding other peripherals such as water bullet gun, and the product can also be expanded with 4G and 5G modules, which is convenient for users to realize more possibilities. 4-wheel drive system with soft non-slip rubber tires ensures good grip and stability on all terrains
  • Support the realization of cross-platform remote control, no need to install APP, you can use Dandelion, Cpolar, LocalTunnel and other programs according to the tutorial for remote control beyond the scope of the LAN. Equipped with four geared motors with encoder to realize closed-loop speed control, the maximum speed can reach 1.3m/s, providing strong power. The 3S lithium battery UPS power supply system supports charging and use at the same time, which ensures a long endurance
  • 752,99 € AUF AMAZON
Waveshare
Waveshare
Waveshare High Speed AI Racing Robot Powered by Jetson Nano-Professional Version Faster and Stronger (Accessory Only)
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68

GUTE QUALITÄT

AUF AMAZON ANSEHEN
Amazon.de
#10

  • Please note that The 18650 batteries And Jetson nano Developerment Kit B01 are NOT included and the battery length SHOULD be less than 67mm, some batteries with protection plate are NOT supported
  • Suitable For High School AI Teaching / Professional Racing
  • High Performance Autonomous AI Racing Car: Interactive Webpage Programming, High Frame Rate Processing Through Torch2trt (PyTorch To TensorRT Translator) Optimizing, Easy To Achieve Faster Autonomous Selft Driving
  • DonkeyCar Open Source Project:JetRacer Pro Also Supports DonkeyCar Open Source Project. DonkeyCar Utilizes Deep Learning Neural Network Framework Keras/TensorFlow, Together With Computer Vision Library OpenCV, To Achieve Self Driving.
  • Deep Learning, Autonomous Driving,Rechargeable, Battery Voltage Monitor, No Messy Wiring, Simple Assembly
  • 313,99 € AUF AMAZON
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