Robotic Arm Raspberry
I 10 migliori prodotti di ottobre 2025
Ultimo aggiornamento:
5 ottobre 2025
Yahboom
Yahboom Robotic Arm Raspberry Pi Robot Kit AI Hand Building with Camera 6-DOF Programmable AI Electronic DIY Robot for Adults ROS Open Source (with Pi 5-16GB)
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Braccio robotico di intelligenza artificiale con fotocamera: il braccio robotico viene fornito con fotocamera per ottenere una trasmissione video FPV. 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 corrisponding designated color objects. Queste azioni di raccolta, tracking e grabbing riflettono pienamente le caratteristiche bioniche AI del braccio del robot. DOFBOT inizia a portarti nel campo delle robot AI.
Controllo del movimento DOFBOT: il braccio robotico non ha solo il suo gruppo di azione fisso, ma può anche eseguire azioni personalizzate. Nei termini del metodo di controllo, possiamo utilizzare la macchina master per controllare la macchina slave per ottenere operazioni remote di trasmissione in tempo reale dei gesti di azione. Per di più, il sistema ros può essere utilizzato per costruire modelli ostacoli, in modo che il braccio robotico possa evitare l'apertura degli ostacoli per operare. Braccio flessibile può completare le attività complete per voi
Godetevi liberamente 5 metodi di controllo: il kit per braccio robot programmabile può utilizzare l'app multi-funzione (Android/iOS) per operare la maggior parte delle funzioni; il kit è dotato di un telecomando USB gamepad per ottenere la migliore sensazione di controllo; può anche essere utilizzato per PC upper computer view image transmission; costruzione del modello di simulazione 3D di ROS. sistema; Jupyy. ter Lab webpage online programming. 5 tipi di metodi di controllo interconnessi possono godere del divertimento del braccio robotico
Configurazione ottimale: Dofbot utilizza un servizio digitale digitale da 15 kg, che è conducive per controllare separatamente e leggere l'angolo di ogni ingranaggio di sterzo; dotato di una scheda di espansione completamente funzionale, riservata all'espansione continua; il braccio robotico è realizzato in alluminio completamente dized. y with a beautiful Struttura robusta e robusta
Facile da avviare e supporto tecnico online: il braccio robotico assemblato può essere controllato direttamente da una semplice installazione e una connessione rapida alla rete (basato sull'immagine bruciata della fabbrica). However, questo braccio robotico è per i makers fai da te con conoscenza di programmazione Python di base. Yahboom offre una vasta gamma di materiali da corso e supporto tecnico online è disponibile. In caso di problemi di investimento, si prega di contattare Yahboom. ***Raspberry Pi 4B (4G o 8G) è consigliato
455,99 € SU AMAZON
Yahboom
Yahboom DOFBOT-SE Robotic Arm Virtual Machine Open Source Programming AI Visual Recognition 6DOF Robotic Arm Moveit Python Desktop Project Research ROS Robot
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Desktop Robot Arm Controlled by a Virtual Machine: The Dofbot-SE robot arm uses a virtual machine as its main controller and does not rely on the expensive Raspberry Pi Jetson Nano. It also implements complex grasping tasks such as custom model training, garbage classification, and gesture recognition. act
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.
Diversity of control methods: The robot kit can be controlled by the standard wireless handle, mobile APP and computer mouse included in the kit. Multiple operation methods can be used for various projects and learning, providing more creative possibilities and fun.
Creative Function Development: The camera and the robotic arm are combined into one. The camera is responsible for the AI recognition work, and the robotic arm is responsible for the command output operations. It realizes an inverse kinematics algorithm by controlling each joint, color recognition, tracking and capture, gestures and faces.
High-quality structure and high-quality after-sales 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.
279,00 € (279,00 € / 1) SU AMAZON
Yahboom
Yahboom Jeston Nano 4GB SUB Robot Arm Building Kit for Jetson Nano 6DOF AI Development Robotic Hand for Adults App Controlled ROS Programmable OpenCV Source Visual Identity (Dofbot with nano)
Spedizione gratuita
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【AI Robotic Arm with Camera】Robotic arm comes with camera to achieve FPV video transmission. Robot 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
【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
【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
【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
499,00 € SU AMAZON
LAP LAMBERT Academic Publishing
A Design of Dynamic Robotic-Arm controller using Raspberry pi 2: Project based learning
Spedizione gratuita
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#4
Yahboom
Yahboom Robot RC Car Chassis with Robotic Arm 6DOF 80mm Mecanum Wheel Aluminum Chassis for UNO Raspberry Pi Jetson Nano Remoto Controllo
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【Struttura e design di alta qualità】 Yahboom fornisce un grande telaio con sospensione a pendolo per veicoli robot di grandi dimensioni.Adotta la trazione indipendente a quattro ruote e può muoversi in tutte le direzioni;la sospensione a pendolo consente a quattro ruote di toccare il suolo contemporaneamente, evitando la sospensione e slittamento e caricamento di più accessori; braccio meccanico a 6 gradi di libertà, costruzione di un robot collaborativo e altri kit acquistabili separatamente.
【Telaio in lega di alluminio di grandi dimensioni + funzione di movimento laterale a tutto tondo】 È progettato con 4 ruote mecanum e telaio a sospensione a pendolo per evitare lo slittamento delle ruote e influenzare il riconoscimento dell'encoder del motore. Utilizzando ruote Mecanum di grandi dimensioni da 80 mm e gomma TPU resistente all'usura, le ruote Mecanum hanno una struttura compatta, che consente al carrello di ottenere un movimento laterale flessibile e
【Motore encoder ad alta precisione + braccio meccanico opzionale】 Dotato di quattro motori di misurazione della velocità dell'encoder 520 e un rapporto di riduzione del motoriduttore CC dell'encoder 1:56, adatto per veicoli mobili omnidirezionali di grandi dimensioni e ad alto carico. Un braccio robotico opzionale a sei gradi di libertà può realizzare la funzione interattiva del riconoscimento delle caratteristiche del corpo umano in base ai moduli corrispondenti.
【Motore encoder ad alta precisione + braccio meccanico opzionale】 Dotato di quattro motori di misurazione della velocità dell'encoder 520 e un rapporto di riduzione del motoriduttore CC dell'encoder 1:56, adatto per veicoli mobili omnidirezionali di grandi dimensioni e ad alto carico. Un braccio robotico opzionale a sei gradi di libertà può realizzare la funzione interattiva del riconoscimento delle caratteristiche del corpo umano in base ai moduli corrispondenti.
【Dotato di materiali di apprendimento dettagliati】 Yahboom ha preparato materiali di apprendimento completi per vari kit di telai per auto robot, dall'apprendimento di STEM32, arduino, jetson nano, programmazione del codice Raspberry Pi, all'assemblaggio di componenti del robot e alla codifica dell'installazione, per come creare il proprio robot, Il kit telaio di Yahboom è un ottimo telaio di partenza.
269,00 € SU AMAZON
Yahboom
Yahboom Raspberry Pi 5 Robot for AI Research Adults Python Programming ROS 6-DOF Robotic Arm Aluminum Alloy Chassis Smart Robot Kit 3D Mapping Project Research for College Students with Pi5(16G)
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【Flagship configuration】ORBBEC Astra Pro depth camera, high-definition touch-adjustable 7-inch screen, 6-DOF robotic arm with camera AI camera, YDLIDAR 4ROS TOF ranging lidar, 80mm large-size mecanum wheel, 520 Hall encoding Geared motor, 9600MAH lithium battery pack, durable aluminum alloy body structure. NOTE: Contain the Jetson Nano development board is a Jetson Nano SUB, not official board.
【Exploration Function and Gameplay】Voice-controlled robot driving can be combined with mechanical arms for voice-controlled grabbing and other actions. It supports ORBSLAM2, Rtab-Map 3D, RRT exploration, gmapping and other algorithms for mapping, and navigation methods such as voice, lidar, Rtab-Map 3D and so on. , conventional obstacle avoidance, following, recognition, skeleton detection and other functions can be quickly realized.
【Rosmaster X3 Plus has 4 versions】The difference lies in the main control board, namely Raspberry Pi 5 16GB, Jetson nano, Jetson Orin Nano SUPER/NX SUPER. Please choose according to your needs. The main body of the robot car has been assembled, and users can start programming and operating the robot as long as they complete the installation of accessories.
【Based on ROS operating system】Through Python programming, it can learn robot arm Movelt simulation, drawing and navigation, STM32 underlying development, MaeiaPipe development, path planning and various algorithms. Yahboom provides open source materials, including video courses (English and Chinese) from basic to advanced.
【Cross-platform interconnected control】Dual APP control, real-life first-person controller, Jupyter Lab programming control, and ROS system control.
1.259,00 € SU AMAZON
Yahboom
Yahboom Raspberry Pi Robotic Kit for Adults ROS Robot Arm Lidar Mapping Navigation Python C++ Programmable AI Kit Tracked Tank Chassis University Electronics Competition Project(Without Pi 4B Ver.V)
Spedizione gratuita
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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.
949,00 € SU AMAZON
Waveshare
Servo Driver Module for Raspberry Pi Pico Series, Up to 16-Channel Outputs, 16-Bit Resolution for Controlling Robotic Arm Or Hexapod Walker
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Intestazione standard Raspberry Pi Pico, supporta schede serie Raspberry Pi Pico
Uscite servo/PWM fino a 16 canali, risoluzione a 16 bit per ogni canale
Integra regolatore 5V, corrente di uscita fino a 3A, permette l'alimentazione della batteria dal terminale VIN
Interfaccia servo standard, supporta servo usato comune come SG90, MG90S, MG996R, ecc.
Espone perni inutilizzati di Pico, facile espansione
Viene fornito con risorse di sviluppo e manuale (esempi di Raspberry Pi Pico C/C ++ e MicroPython)
19,99 € SU AMAZON
Yahboom
Yahboom Raspberry Pi5 16GB Master Intelligent Robot, Robotic Arm Robot Car Kit, Voice Control, Voice Chat, Educational Robot Kit（ROSMASTER M3Pro Ver Pi5-16GB without DP）
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[Embodied Intelligence Experience] ROSMASTER M3 Pro uses the ROS2 system and the latest inference architecture, providing users with an enhanced user experience. It can see its surroundings, analyze its surroundings, and chat with users via voice, with support for free interruptions. Users don't need to issue specific voice commands; the robot will automatically understand the user's needs and execute them perfectly.
[Three Built-in AI Models] The ROSMASTER M3 Pro integrates a large language model, a large speech model, and a large vision model. Equipped with an AI large-scale voice module and a speaker, the robot supports real-time voice-to-text conversion. When connected to the OpenRouter platform, it can understand voice commands in real time and respond flexibly. The DABAI DCW2 depth camera gives the robot vision, enabling it to understand and analyze nearby objects.
[High-Performance Hardware]: The robot car features a large aluminum alloy chassis with four Mecanum wheels and a rear-wheel pendulum suspension design, enabling easy obstacle traversal and omnidirectional movement. A 6DOF robotic arm and depth camera combine to enable 3D intelligent gripping. Dual radars and a touchscreen (optional) facilitate data debugging. A choice of high-performance Jetson Orin development boards or Raspberry Pi motherboards are available.
[Version Note] ROSMASTER M3 Pro has 10 versions: one with a 7-inch IPS touch screen and one without. Each version is divided into 5 different master controllers: Orin NX 16GB / Orin NX 8GB / Orin Nano 8GB / Jetson Nano B01 / Raspberry Pi 16GB. To ensure the efficient operation of the robot car, it is recommended to choose a high-computing power development board.
[Systematic and Detailed Courses] With over 200 course materials, you'll quickly learn and experience the joy of AI. Yahboom's course code is fully open source. If you encounter technical issues, please contact Yahboom and our technical support team will assist you.
1.099,00 € SU AMAZON
Yahboom
Yahboom 30W USB Camera AI Vision Programming Robot Robotic Arm Vision Module Car Compatible with Raspberry Pi 5/4/3/Jetson Orin NANO/Horizon/PC Computer Comes with 50cm Cable (30W-480P-50°)
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【Three USB camera spec to choose】30W supports up to 480P, 100W supports up to 720P, and 200W supports up to 1080P. Note that this is the maximum support and can be backward compatible. For example, 100W can also choose 480P resolution; clear images and accurate color reproduction can be achieved
【Plug and Play & UVC Compatible】Three USB camera modules are equipped with 50cm, 40cm, and 30cm USB cables, which are widely applicable, UVC compatible, and suitable for operating systems: Windows, Linux, Android, Mac, etc., without complicated program installation. Plug and play, greatly improving work efficiency. If you have any questions, please contact us with your order.
【Application Scenario】30W: for scenes with high requirements for close-range image quality, such as robotic arm integrated camera recognition, positioning, and grabbing; 1MP: suitable for medium-distance vision project development, such as AI visual recognition and dynamic tracking on mobile platforms such as smart cars; 2MP: suitable for application scenarios that require high definition and real-time performance, such as advanced AI recognition and high-speed tracking tasks for robot
【High Frame Rate Lens】The frame rates provided by the three cameras are 30 frames, 30 frames, and 120 frames, which are the theoretical maximum supported frame rates. The actual frame rate is related to resolution and main control performance.
【Provide AI information description】Provide basic driver usage tutorials for USB cameras, AI visual gameplay tutorials, and case information on autonomous car driving. Moreover, these AI visual data are compatible with all three cameras, and there is information related to the adaptation of Raspberry Pi series, JETSON series, and RDK series motherboards.
17,99 € SU AMAZON
robotic raspberry
robotic arm
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