Robotics

30 products


  • Cytron 10Amp 5-30 V DC Motor Driver

    Cytron Cytron 10Amp 5-30 V DC Motor Driver

    DC brushed motors are the most commonly used and widely available motors in the market. The Cytron 10 Amp 5-30 V DC Motor Driver will help you add functionality to your DC motor. It supports both sign-magnitude PWM signal and locked-antiphase. It is compatible with full solid-state components resulting in higher response time and eliminates the wear and tear of the mechanical relay. Features Supports motor voltage from 5 V to 30 V DC Current up to 13 A continuous and 30 A peak 3.3 V and 5 V logic level input Compatible with Arduino and Raspberry Pi Speed control PWM frequency up to 20 kHz Fully NMOS H-Bridge for better efficiency No heat sink is required Bi-directional control for one Brushed DC motor Regenerative Braking Downloads User Manual Arduino Library

    $20.00

    Members $18.00

  • Cytron Maker Pi RP2040 - Robotica met Raspberry Pi RP2040

    Cytron Cytron Maker Pi RP2040 - Robotics with Raspberry Pi RP2040

    Cytron Maker Pi RP2040 features the first microcontroller designed by Raspberry Pi – RP2040, embedded on a robot controller board. This board comes with dual channel DC motor driver, 4 servo motor ports and 7 Grove I/O connectors, ready for your next DIY robot / motion control project. Now you can build robot, while trying out the new RP2040 chip. The DC motor driver onboard is able to control 2x brushed DC motors or 1x bipolar/unipolar stepper motor rated from 3.6 V to 6 V, providing up to 1 A current per channel continuously. The built-in Quick Test buttons and motor output LEDs allow functional test of the motor driver in a quick and convenient way, without the need of writing any code. Vmotor for both DC and servo motors depends on the input voltage supplied to the board. Maker Pi RP2040 features all the goodness of Cytron's Maker series products. It too has lots of LEDs useful for troubleshooting (& visual effects), is able to make quite some noise with the onboard piezo buzzer and comes with push buttons ready to detect your touch. There are three ways to supply power to the Maker Pi RP2040 – via USB (5 V) socket, with a single cell LiPo/Li-Ion battery or through the VIN (3.6-6 V) terminals. However only one power source is needed to power up both controller board and motors at a time. Power supply from all these power sources can all be controlled with the power on/off switch onboard. Cytron Maker Pi RP2040 is basically the Raspberry Pi Pico + Maker series' goodness + Robot controller & other useful features. Therefore this board is compatible with the existing Pico ecosystem. Software, firmware, libraries and resources that are developed for Pico should work seamlessly with Cytron Maker Pi RP2040 too. CircuitPython is preloaded on the Maker Pi RP2040 and it runs a simple demo program right out-of-the-box. Connect it to your computer via USB micro cable and turn it on, you will be greeted by a melody tune and LEDs running light. Press GP20 and GP21 push buttons to toggle the LEDs on/off, while controlling any DC and servo motors connected to it to move and stop. With this demo code, you get to test the board the moment you receive it! While connected to your computer, a new CIRCUITPY drive appears. Explore and edit the demo code (code.py & lib folder) with any code editor you like, save any changes to the drive and you shall see it in action in no time. That's why we embrace CircuitPython – it's very easy to get started. Wish to use other programming lauguages? Sure, you are free to use MicroPython and C/C++ for Pico/RP2040. For those of you who loves the Arduino ecosystem, please take a look at this official news by Arduino and also the unofficial Pico Arduino Core by Earle F. Philhower. Features Powered by Rapberry Pi RP2040 Dual-core Arm Cortex-M0+ processor 264 KB internal RAM 2 MB of Flash memory the exact same specifications with Raspberry Pi Pico Robot controller board 4x Servo motors 2x DC motors with quick test buttons Versatile power circuit Automatic power selection: USB 5 V, LiPo (1-cell) or Vin (3.6-6 V) Built-in 1-cell LiPo/Li-Ion charger (over-charged & over-discharged protection) Power on/off switch 13x Status indicator LEDs for GPIO pins 1x Piezo buzzer with mute switch 2x Push button 2x RGB LED (Neopixel) 7x Grove ports (flexible I/O options: digital, analog, I²C, SPI, UART...) Preloaded with CircuitPython by default Mouting holes 4x 4.8 mm mounting hole (LEGO pin compatible) 6x M3 screw hole

    $19.00

    Members $17.10

  • Sipeed Maixduino Kit voor RISC-V AI + IoT

    Seeed Studio Sipeed Maixduino Kit for RISC-V AI + IoT

    Out of stock

    MAIX is Sipeed's purpose-built product series designed to run AI at the edge. Move AI models from cloud down to devices on the edge of the network where they can run faster, at lower cost, and with greater privacy. MAIX isn't just a hardware solution, it combines custom hardware, open software, and state-of-the-art AI algorithms. Different kinds of dev. boards, kits, peripherals as well as wide compatibility enable rapid and agile prototype development, make AIoT projects much easier. And thanks to MAIX' s performance, small footprint, low power, and low cost, it enables the broad deployment of high-quality Edge AI. Applications Smart Home applications like robot cleaners, smart speakers, electronic door locks, household monitoring etc. Medical Industry applications like Auxiliary diagnosis and treatment, medical image recognition, emergency alarm etc. Smart Industry applications like industrial machinery, intelligent sorting, monitoring of electrical equipment, etc. Education applications like educational robots, intelligent interactive platforms, educational efficiency inspection, etc. Agriculture applications like agricultural monitoring, pest and disease monitoring, automated control, etc. Features CPU: RISC-V Dual Core 64bit, with FPU; 400MHz neural network processor QVGA@60FPS/VGA@30FPS image identification Onboard ESP32 module support 2.4G 802.11. b/g/n and Bluetooth 4.2 Arduino Uno form factor, Arduino compatible interface Onboard omnidirectional I²S digital output MEMS Microphone 24P 0.5mm FPC connector for DVP Camera 8-bit MCU LCD 24P 0.5mm FPC connector Support self-elastic micro SD card holder Reset and boot button; 3W DAC+PA Audio output Just connect the USB Type-C cable to complete the download Machine vision based on convolutional neural network High performance microphone array processor for machine hearing Support MaixPy IDE, Arduino IDE, OpenMV IDE, and PlatformIO IDE Support Tiny-Yolo, Mobilenet and TensorFlow Lite for deep learning Technical Specifications Master module Sipeed MAIX-I AIoT module Power Input USB Type-CDC-DC step-down circuit:support 6-12V input; Provide 5V 1.2A output Micro SD Card (TF card) slot Support Self-elastic card holder Onboard MEMS microphone MSM261S4030H0 is an omnidirectional, Bottom-ported, I²S digital output MEMS Microphone. It has high performance and Reliability. DVP Camera interface 24P 0.5mm FPC connector LCD connector 8bit MCU LCD 24P 0.5mm FPC connector Audio output DAC+PATM8211: 16 bit dynamic range;Low harmonic distortionNS4150: 3W output power; Up to 90% efficiency ESP32 module Support 2.4G 802.11.b/g/n802.11 n (2.4 GHz) speeds up to 150 MbpsBluetooth v4.2 full standard, including traditional Bluetooth (BR/EDR) and Bluetooth Low Energy (BLE) Supply voltage of external power supply 4.8V ~ 5.2V Supply current of external power supply >600mA Temperature rise Range of working temperature -30℃ ~ 85℃ MCU: ESP8285 Tensilica L106 32-bit MCU Wireless Standard 802.11 b/g/n Frequency Range 2400Mhz - 2483.5Mhz TX Power(Conduction test) 802.11.b: +15dBm802.11.g: +10dBm(54Mbps)802.11.n: +10dBm (65Mbps) Antenna Connector IPEX 3.0x3.0mm Wi-Fi mode Station/SoftAP/SoftAP+Station Contents 1x Maixduino Development Board 1x GC0328 Camera Module 1x 2.4 inch TFT Display

    Out of stock

    $37.00

    Members $33.30

  •  -18% DFRobot Gravity – Lightning Distance Sensor

    DFRobot DFRobot Gravity - Lightning Distance Sensor

    3 in stock

    The embedded man-made disturber rejection algorithm can effectively avoid the electrical interference generated by various household appliances. In addition to allowing general weather enthusiasts to measure local thunderstorm data simply and efficiently, thanks to its compact size and wide detection range, it can also be embedded in various smart wearable devices for an outdoor climber or people who work at heights.This provides early warning of thunderstorms that people can perceive so that people can take precautions a step ahead. The sensor can also be embedded in the indoor protection device inside lightning-sensitive equipment, and automatically trigger these devices to switch to the backup power to isolate the power grid when lightning strikes. At the moment of lightning, the interrupt pin IRQ generates a pulse. This can be used to trigger the shutter to open, helping photographers to accurately capture the exciting moment of lightning.The maximum estimated distance of lightning strike is 40km. Limited by the inherent measurement method and algorithm, the distance estimation resolution is 1~4km, 40 km in 15 steps.Features Lightning detection within 40km in 15 steps Lighting intensity detection Used both indoors or outdoors Embedded man-made disturber rejection algorithm Applications Consumer Weather Station (thunderstorm measurement) Wearable Devices (outdoor thunderstorm early warning) Lightning Photography Specification Input Voltage : 3.3 V - 5.5 V Maximum Detection Range: 40 km Distance Detection Resolution: 1 km - 4 km Intensity Detection Resolution: 21 bits, i.e. 0 ~16777201 I2C Address: Three options 0x03, 0x02, 0x01 Interface: Gravity I2C (logic level: 0-VCC) Dimension: 30 mm x 22 mm For more information, check out the DFRobot Gravity – Lightning Distance Sensor wiki page here.

    3 in stock

    $34.00$28.00

    Members identical

  • Cytron 3Amp 4-16 V DC Motor Driver (2 Channels)

    Cytron Cytron 3Amp 4-16 V DC Motor Driver (2 Channels)

    Features: Supports motor voltage from 4 V to 16 V DC Bidirectional control for two brushed DC motor. Control one unipolar or one bipolar stepper motor. Maximum Motor Current: 3A continuous, 5A peak LEDs for motor output state. Buttons for quick testing. Compatible with Arduino and Raspberry Pi PWM frequency up to 20kHz Reverse polarity protection  Here you can find the product's Datasheet. Check out the sample code provided by Cytron here.

    $13.00

    Members $11.70

  • Kitronik Robotics Board for Raspberry Pi Pico

    Kitronik Kitronik Robotics Board for Raspberry Pi Pico

    The Robotics Board features 2 Dual H Bridge Motor Driver ICs. These are capable of driving 2 standard motors or 1 stepper motor each, with full forward, reverse, and stop control. There are also 8 servo outputs, capable of driving standard and continuous rotation servos. They can all be controlled by the Pico using the I²C protocol, via a 16 channel driver IC. The IO break out provides connections to all the unused pins on the Pico. The 27 available I/O pins allow other devices, such as sensors or ZIP LEDs, to be added to the board. Power is provided via either a terminal block or servo style connector. The supply is then controlled by an on/off power switch to the board and there is also a green LED to indicate when the board has power. The board then produces a regulated 3.3V supply which is fed into the 3 V and GND connections to power the connected Pico. This removes the need to power the Pico separately. The 3 V and GND pins are also broken out on the header, which means external devices can also be powered. To use the robotics board, the Pico should be firmly inserted into the dual row pin socket on the board. Ensure the Pico is inserted with the USB connector at the same end as the power connectors on the robotics board. This will allow access to all of the board functions and each pin is broken out. Features A compact yet feature-packed board designed to sit at the heart of your Raspberry Pi Pico robotics projects. The board can drive 4 motors (or 2 stepper motors) and 8 servos, with full forward, reverse, and stop control. It also features 27 other I/O expansion points and Power and Ground connections. The I²C communication lines are also broken out allowing other I²C compatible devices to be controlled. This board also features an on/off switch and power status LED. Power the board via either a terminal block or servo style connector. The 3V and GND pins are also broken out on the Link header, allowing external devices to be powered. Code it with MicroPython or via an editor such as the Thonny editor. 1 x Kitronik Compact Robotics Board for Raspberry Pi Pico Dimensions: 68 x 56 x 10 mm Requires Raspberry Pi Pico board

    $28.00

    Members $25.20

  • Raspberry Pi Pico 6 DOF Robotarm van MakerFabs

    Makerfabs Makerfabs 6 DOF Robot Arm with Raspberry Pi Pico

    Raspberry Pi Pico is a great solution for servo control. With the hardware PIO, the Pico can control the servos by hardware, without usage of times/ interrupts, and limit the usage of the MCU. Driving the six servos on this robotic arm takes very little MCU capacity, so the MCU can deal with other tasks easily. This 6 DOF robotic arm is a handy tool for teaching and learning robotics and Pico usage. There are five MG996s (four are needed in the assembly and one for backup) and three 25-kg servos (two needed in the assembly and one for backup). Note that for the servos the angle ranges from 0° to 180°. All the servos need to be preset to 90° (with logic HIGH 1.5 ms duty) before the assembly to avoid servo damage during movement. This product includes all the necessary items needed to create a robotic arm based on Pico and Micropython. Included 1x Raspberry Pi Pico 1x Raspberry Pi Pico Servo Driver 1x Set "6 DOF Robot Arm" 1x 5 V/5 A Power Supply 2x Backup Servo Downloads GitHub Wiki Assembly Guide Assembly Video

    $155.00

    Members $139.50

  • HuskyLens AI Camera met Silicone Case

    HuskyLens AI Camera

    Do you need a simple AI camera to enhance your projects?  The HuskyLens AI Camera intuitive design allows the user to control different aspects of the camera just by pressing buttons. You can start and stop learning new objects and even switch between algorithms from the device. To further reduce the need to be connected to a PC the HuskyLens AI Camera comes with a 2-inch display so you can see what's going on in real time. Specifications Processor: Kendryte K210 Image Sensor: OV2640 (2.0 Megapixel Camera) Supply Voltage: 3.3~5.0 V Current Consumption (TYP): 320 mA @ 3.3 V, 230 mA @ 5.0 V (face recognition mode; 80% backlight brightness; fill light off) Connection Interface: UART, I²C Display: 2.0-inch IPS screen with 320x240 resolution Built-in Algorithms: Face Recognition, Object Tracking, Object Recognition, Line Tracking, Color Recognition, Tag Recognition  Dimension: 52 x 44.5 mm (2.05 x 1.75") Included 1x HuskyLens Mainboard 6x M3 Screws 6x M3 Nuts 1x Small Mounting Bracket 1x Heightening Bracket 1x Gravity 4-Pin Sensor Cable

    $100.00

    Members $90.00

  • Waveshare PicoGo Mobile Robot for Raspberry Pi Pico

    Waveshare Waveshare PicoGo Mobile Robot for Raspberry Pi Pico

    3 in stock

    The PicoGo is a smart mobile robot based on Raspberry Pi Pico, it includes ultrasonic module, LCD module, Bluetooth module, line following module, and obstacle avoidance module, all these functions are highly integrated for easily achieving IR obstacle avoidance, auto line following, Bluetooth/IR remote control, and more. With various advanced features, it will help you fast get started with smart robot design and development. Features Standard Raspberry Pi Pico header, supports Raspberry Pi Pico series Battery protection circuit: over charge/discharge protection, over current protection, short circuit protection, reverse proof, more stable and safe operating Recharge/Discharge circuit, allows programming/debugging concurrently while recharging 5-ch infrared sensor, analog output, combined with PID algorithm, stable line tracking Onboard multiple smart robot sensors like line tracking, obstacle avoidance, no more messy wiring 1.14-inch IPS colorful LCD display, 240 x135 pixels, 65K colors Integrates Bluetooth module, allows teleoperations like robot movement, RGB LED display color, buzzer, etc. by using mobile phone APP N20 micro gearmotors, with metal gears, low noise, high accuracy Colorful RGB LED IR obstacle avoidance The module sends IR beam and detects objects by receiving the reflected IR beam, to easily avoid obstacles in the way. Auto line following Features 5-ch IR detector for sensing and analysing the black line, combined with PID algorithm for adjusting robot movement, high sensitivity, stable tracking. Ultrasonic sensor Ultrasonic is generally faster and easy-to-calculate, suitable for functions like real time control, and obstacle avoidance, with the industrial practical ranging accuracy, it is widely used on robot research and development. Object tracking The robot is able to detect front object by ultrasonic or IR, and keeps moving to track the target automatically. IR remote control Integrates IR receiver, so that you can control the robot to move or turn direction by sending infrared light from the remote controller. Bluetooth remote control Comes with mobile phone APP, allows you to use the phone to control the movement of the robot, or control its peripherals like changing LED color, making the buzzer to sound, etc. RGB LED control Included 1x PicoGo base board 1x PicoGo acrylic panel 1x 1.14-inch LCD Module 1x Ultrasonic sensor x1 1x IR remote controller 1x USB-A to micro-B cable 1.2 m 1x PH2.0 8-Pin cable 5 cm opposite side headers 1x Mini cross wrench sleeve 1x Screwdriver 1x Screws and standoffs pack Required 1x Raspberry Pi Pico (pre-soldered header) 1x 5 V/3 A power supply 2x 14500 batteries Downloads Wiki

    3 in stock

    $76.00

    Members $68.40

  • Last stock! JOY-iT Robot Car Kit 01 voor Arduino

    JOY-iT JOY-iT Robot Car Kit 01 for Arduino

    1 in stock

    Enter the world of robotics without any complications and at a reasonable price with the Car Kit 01 for Arduino. This is a kit that can be used as a basic framework for a car/robot. The set is very easy to assemble and ready to go in no time. The supplied geared motors (with double-ended shaft) can be operated in a voltage range of 3 to 9 volts. The speed varies between 90 and 300 revolutions per minute. The torque (gf/cm) between 800 and 1200. The Car Kit is compatible with all Arduino boards. Note: You will also need to add other components such as a power source (batteries) and a controller such as an Arduino with a motor controller. The base plate already contains the holes for mounting an Arduino. User Manual

    1 in stock

    $25.00

    Members $22.50

  • Cytron REKA:BIT – Robotics with micro:bit

    Cytron Cytron REKA:BIT - Robotics with micro:bit

    Program your REKA:BIT with Microsoft MakeCode Editor. Just add REKA:BIT MakeCode Extension and you’re good to go. If you’re a beginner, you can start with the block programming mode; simply drag, drop and snap the coding blocks together. For more advanced users, you can easily switch into JavaScript or Python mode on MakeCode Editor for text-based programming.REKA:BIT possesses a lot of indicator LEDs to assist your coding and troubleshooting. It covers the IO pins connected to all six Grove ports and DC motor outputs from the co-processor. One is able to check his/her program and circuit connection easily by monitoring these LEDs.Besides, REKA:BIT also has a power on/off indicator, undervoltage, and overvoltage LEDs built-in to give appropriate warnings should there be any problem with the power input.REKA:BIT features a co-processor to handle multitasking more efficiently. Playing music while controlling up to 4x servo motors and 2x DC motors, animating micro:bit LED matrix, and even lighting up RGB LEDs in different colors, all at the same time, is not a problem for REKA:BIT.Features 2x DC motor terminalsBuilt-in motor quick test buttons (no coding needed) 4x Servo motor ports 2x Neopixel RGB LEDs 6x Grove port (3.3 V) 3x Analog Input / Digital IO ports 2x Digital IO ports 1x I²C Interface DC jack for power input (3.6 - 6 VDC) ON/OFF switch Power on indicator Undervoltage (LOW) indicator & protection Over-voltage (HIGH) indicator & protection Dimensions: 10.4 x 72 x 15 mm Included 1x REKA:BIT expansion board 1x USB power and data cable 1x 4xAA battery holder 1x Mini screwdriver 3x Grove to female header cable 2x Building block 1x9 lift arm 4x Building block friction pin Please note: micro:bit board not included

    $26.00

    Members $23.40

  • Joy-Car Robot for BBC micro:bit

    JOY-iT Joy-Car Robot for BBC micro:bit

    The Joy-Car is an autonomous robot based on micro:bit and offers a modular robotics learning kit. With the help of the detailed manual, all assemblies and their functions as a whole machine are explained, as well as details of programming and codes.Sensors such as line tracking, ultra sonic, infrared and wheel speed sensors provide functions such as autonomous driving and even the control via Bluetooth via a second, separate micro:bit.The additional equipment simulates indicators, lights, reversing light and horn, thus complement the experience of an autonomous robot car. With addressable LEDs, individual lighting scenarios can also be realized.SpecificationsPower Supply 4x AA batteries Alternatively: 4.5-9 VDC Functions & Features Learning the individual components as a whole machine Suitable from 9 years on, ideal for school purposes Detailed instructions for programming including codes Programming languages: Micro:Python and MakeCode Autonomous driving by line finder, ultrasonic and infrared BT-control via separate 2nd micro:bit possible Simulation of indicators, lights, reversing light and horn Compatible with micro:bit v1 and v2 Included sensors 2x Speed sensor 3x Line tracking sensor 1x Ultrasonic sensor 2x Obstacle sensor Included electronic assembly 1x Joy-Car mainboard 2x Gear motor 2x Servo motor 4x LED board 1x Battery case Dimensions189 x 171 x 77 mmIncluded items Joy-Car Acryl Kit Sensors Electronics assembly Mounting material Connection cables RequiredBBC micro:bit v1 or v2Downloads Manual MakeCode Tutorials Websitehttps://joycar.joy-it.net/en/

    $72.00

    Members $64.80

  • SparkFun JetBot AI Kit v2.1 (zonder NVIDIA Jetson Nano Developer Kit)

    SparkFun SparkFun JetBot AI Kit v3.0 (without NVIDIA Jetson Nano Developer Kit)

    The SparkFun JetBot AI Kit V3.0 is a great launchpad for creating entirely new AI projects for makers, students, and enthusiasts interested in learning AI and building fun applications. It’s straightforward to set up and use and is compatible with many popular accessories. Several interactive tutorials show you how to harness AI's power to teach the SparkFun JetBot to follow objects, avoid collisions, and more. The Jetson Nano Developer Kit (not included in this kit) offers useful tools like the Jetson GPIO Python library and is compatible with standard sensors and peripherals; including some new python compatibility with the SparkFun Qwiic ecosystem. Additionally, the included image is delivered with the advanced functionality of JetBot ROS (Robot Operating System) and AWS RoboMaker Ready with AWS IoT Greengrass already installed. SparkFun’s JetBot AI Kit is the only kit currently on the market ready to move beyond the standard JetBot examples and into the world of connected and intelligent robotics. This kit includes everything you need to get started with JetBot minus a Phillips head screwdriver and an Ubuntu desktop GUI. If you need these, check out the includes tabs for some suggestions from our catalogue. Please be aware that the ability to run multiple neural networks in parallel may only be possible with a full 5V-4A power supply. Features SparkFun Qwiic ecosystem for I²C communication The ecosystem can be expanded using 4x Qwiic connectors on GPIO header Example Code for Basic Motion, Teleoperation, Collision avoidance, & Object Following Compact form factor to optimize existing neural net from NVIDIA 136° FOV camera for machine vision Pre-flashed MicroSD card Chassis assembly offers expandable architecture No soldering required Included 64 GB MicroSD card - pre-flashed SparkFun JetBot image: Nvidia Jetbot base image with the following installed: SparkFun Qwiic python library package Driver for Edimax WiFi adapter Greengrass Jetbot ROS Leopard Imaging 136FOV wide-angle camera & ribbon cable EDIMAX WiFi Adapter SparkFun Qwiic Motor Driver SparkFun Micro OLED Breakout (Qwiic) All hardware & prototyping electronics needed to complete your fully functional robot! Required NVIDIA Jetson Nano Developer Kit Downloads Assembly Guide

    $243.00

    Members $218.70

  • JOY-iT Grab-it Robot Arm Kit

    JOY-iT JOY-iT Grab-it Robot Arm Kit

    The Grab-it Robot arm is produced in a special solid model. The frame of the arm exists of very solid, black anodized aluminium. Included in delivery are 6 PWN controlled servo motors, that are constructed for a pressure of 20 kg/cm. So there is a high range of usage and enough power reserves for your projects. The pressure range of the precision claw is adjusted to the arm and able to work under the same pressure. The arm will be delivered with a rotary plate (360°) where it has to be mounted. The rotary plate will fixed on a 28.5 x 16 cm base plate. There are already bores for all current single-board computers and development boards (Raspberry Pi, Banana Pi, Arduino,…). For an easy and accurate controlling, we recommend MotorPi (for Raspberry Pi) or Motorino (for Arduino). Highlights & Details Material: robust aluminium, black anodized incl. 6 pieces 20 kg/cm PWM/servo motors Voltage range 5 to 7.4 V DC Metal gear incl. base plate with bores for all current single-board computers and development boards incl. high-quality precision claw Motors 21.5 kg/ cm torque at 7.4V5V-7.4 V DC voltage360° mechanical angle, 180° operating rangemetal gearcontrolable via PWMCurrent intake 5 mA to 2 A (per motor) Frame Aluminum profile Dimensions Base plate 28.5 x 16 cmHeight: depending on the position of the arm, up to 42 cm Range About 30 cm from the center of the rotary plate Base plate 4.5 mm acrylic with mounting possiblity for Raspberry Pi A+/B+/2/3, CubieBoard, Arduino Mega, Banana Pi M2, pcDuino and many more.Holes with spacers allowing the attachment to a ground plate Components Robot arm in single plarts incl. rotary-plate, claw, base-plate and mounting-material, 6 motors Recommended accessories MotoPi (motor control for Raspberry Pi)Motorino (motor control for Arduino)

    $205.00

    Members $184.50

  • Advanced Control Robotics (E-BOOK)

    Elektor Digital Advanced Control Robotics (E-BOOK)

    If you enjoy DIY electronics, projects, software and robots, you’ll find this book intellectually stimulating and immediately useful. With the right parts and a little guidance, you can build robot systems that suit your needs more than overpriced commercial systems can. 20 years ago, robots based on simple 8-bit processors and touch sensors were the norm. Now, it’s possible to build multi-core robots that can react to their surroundings with intelligence. Today’s robots combine sensor readings from accelerometers, gyroscopes and computer vision sensors to learn about their environments. They can respond using sophisticated control algorithms and they can process data both locally and in the cloud. This book, which covers the theory and best practices associated with advanced robot technologies, was written to help roboticists, whether amateur hobbyist or professional, take their designs to the next level. As will be seen, building advanced applications does not require extremely costly robot technology. All that is needed is simply the knowledge of which technologies are out there and how best to use each of them. Each chapter in this book will introduce one of these different technologies and discuss how best to use it in a robotics application. On the hardware side, we’ll cover microcontrollers, servos, and sensors, hopefully inspiring you to design your own awe-inspiring, next-generation systems. On the software side, we’ll cover programming languages, debugging, algorithms, and state machines. We’ll focus on the Arduino, the Parallax Propeller, Revolution Education PICAXE and projects I’ve with which I’ve been involved, including the TBot educational robot, the PropScope oscilloscope, the 12Blocks visual programming language, and the ViewPort development environment. In addition, we’ll serve up a comprehensive introduction to a variety of essential topics, including output (e.g. LEDs, servo motors), and communication technologies (e.g. infrared, audio), that you can use to develop systems that interact to stimuli and communicate with humans and other robots. To make these topics as accessible as possible, handy schematics, sample code and practical tips regarding building and debugging have been included. Hanno Sander Christchurch, New Zealand

    $24.00

    Members $19.20

  • Sipeed Longan Nano – RISC-V GD32VF103CBT6 Development Board

    Seeed Studio Sipeed Longan Nano - RISC-V GD32VF103CBT6 Development Board

    Out of stock

    Longan Nano development board, double-row pin layout design, needle spacing 700 mil, can be inserted directly into breadboard; on-board 8M passive crystal oscillator, 32.768 kHz RTC low-speed crystal oscillator, Mini TF slot, and use Type-C USB interface. Longan Nano supports multiple download methods: USB DFU download, UART ISP download, JTAG download. In the USB DFU download mode, you only need a USB Type-C cable to download the program to the development board. At the same time, Longan Nano supports the standard JTAG interface, which can be debugged online using the in-store RISC-V debugger or any JTAG-enabled debugger such as J-Link. Meanwhile, Sipeed has adapted the PlatformIO IDE for the Longan Nano development board, which can be visually developed on multiple platforms such as Windows/Linux: https://github.com/sipeed/platform-gd32v Features Chip built-in 128KB Flash, 32KB SRAM 4x general purpose 16-bit timer, 2x basic 16-bit timer, 1x advanced 16-bit timer Watchdog, RTC, Systick 3x USART, 2x I²C, 3x SPI, 2x I²S, 2x CAN, 1x USBFS (OTG) 2x ADC (10 channel), 2x DAC Technical Specifications CPU GD32VF103CBT6 based on RISC-V 32-bit core Kernel power consumption Only 1/3 of the traditional Cortex-M3 Chip built-in 128KB Flash, 32KB SRAM Peripheral – 4x general purpose 16-bit timer, 2x basic 16-bit timer, 1x advanced 16-bit timer– Watchdog, RTC, Systick– 3x USART, 2x I²C, 3x SPI, 2 x I²S, 2x CAN, 1 x USBFS (OTG),– 2x ADC (10 channel), 2x DAC Software IDE PlatformIO IDE, Support debugging, Arduino Compile Toolchain & Debugger GCC, OpenOCD Operating system RT-Thread、LiteOS Hardware Storage expansion Short body TF card slot Display expansion 8pin 0.5mm FPC Block Expansion 160x80 RGB IPS LCD (SPI Interface) Debug interface 2x4 pin leads to JTAG debug interface Connector Double row 2.54 pitch pin Crystal 8MHz Passive High Speed Crystal +32.768KHz Low Speed RTC Crystal

    Out of stock

    $12.00

    Members $10.80

  • FeeTech FS90 Micro Servo with Accessories

    FeeTech FS90 Micro Servo with Accessories

    Specifications Size 23.2 x 12.5 x 22 mm Weight 9 g Gear type Plastic Gear (Nylon & POM) Limit angle 120 Bearing No Ball bearings Horn gear spline 20T (4.8 mm) Horn type Plastic, POM Case Nylon & Fiberglass Connector wire 200 mm Motor Metal brush motor Spalsh water resistance No Included 1x FeeTech FS90 Servo 1x Straight single ended servo horn 1x Straight double ended servo horn 1x Winged straight double ended servo horn 1x Four-pointed star servo horn 1x Round servo horn 1x Servo horn screw 2x FS90 servo mounting screws Downloads User Guide

    $15.00

    Members $13.50

  • Arduino Braccio ++ RP2040 powered Robot Arm

    Arduino Arduino Braccio ++ RP2040 powered Robot Arm

    Out of stock

    The next evolution of the Tinkerkit Braccio robot, Arduino Braccio ++ is a robotic arm designed solely for higher education, including engineering schools and university institutes of technology – or even advanced high school and college students studying the sciences, industrial science or technology. Arduino Braccio ++ is fully optimized and can be assembled in several ways for multiple tasks, such as moving objects, mounting a camera and tracking your movements, or attaching a solar panel and tracking the movement of the sun. Its uses are almost limitless. Students will learn real life applications of physical concepts through lifting, placing, and rotating an item. These concepts include motions, forces, torque, gear ratios, stability, and weight of payload. Arduino Braccio ++ offers a multitude of expansive possibilities from the very outset, including a new Braccio Carrier with LCD screen, new RS485 servo motors, and a totally enhanced experience. The main material used to build the Arduino Braccio ++ structure is a recycled and eco-friendly plastic called EcoAllene, a plastic material obtained from recycled polylaminate found in food cartons, meaning that all the plastic parts of Arduino Braccio ++ are sustainable and 100% recyclable. Downloads Braccio Carrier

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    $552.00

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  •  -14% YDLIDAR OS30A 3D Depth Camera

    YDLIDAR YDLIDAR OS30A 3D Depth Camera

    This camera adopts binocular structured light 3D imaging technology to obtain depth images and realize the function of depth information modeling. It is equipped with a dedicated depth computing chip and is specially optimized for robot obstacle avoidance.The camera is compact in size, easy to integrate, with USB2.0 standard output interface, providing users with a high degree of flexibility. It can be adapted to complex environments such as all-black environment, indoors with strong light or weak light, backlight or smooth light, even semi-outdoors, which has a wide range of applications.Features Offers 1280 x 920 high-resolution image output Uses the binocular structured light 3D imaging technology Fearless ambient light interference Deep calculation processors use high-performance dedicated chips USB2.0 standard output interface Specifications Detection distance: 20-250 cm Accuracy Error: <1.5 cm Resolution: 1280 x 920 Pixel HFOV: 78 ±3° VFOV: 60 ±3° Power: 1.5 W Active Light Source: Spectrum: 830-850 nm | Power: <1.5 W Dust-proof and Waterproof: IP65 ESD: Contact Discharge: ±8 KV | Antiaircraft: ±12 KV Interface: USB2.0 Operating Temperature: -10~50 °C Operating Humidity: 0~80 RH Storage Temperature: -20~80 °C Weight: 96 g Downloads Datasheet User Manual Development Manual SDK Tool ROS

    $155.00$133.00

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  • Sipeed MAix Bit Suit with LCD and Camera

    Seeed Studio Sipeed MAix Bit Suit with LCD and Camera

    Out of stock

    Sipeed AI & IoT board is not only hardware but also provide an end-to-end, hardware + software infrastructure for the deployment of AI-based solutions. Sipeed AI & IoT board can be used for a growing number of use-cases such as: predictive maintenance machine vision voice recognition anomaly detection robotics Specifications CPU: RISC-V Dual Core 64bit, 400Mh adjustable Powerful dual-core 64-bit open architecture-basedprocessor with rich community resources Debugging Support High-speed UART and JTAG interface for debugging GPIO interface All GPIOs connected to header 2*20 2.54mm Micro SD card(TF card) slot Support Self-elastic card holder One-click Download circuit Just connect the USB typeC cable to complete the downloadOnboard CH340, 2Mbps baud rate DVP Camera connector 24P 0.5mm FPC connector LCD connector 8bit MCU LCD 24P 0.5mm FPC connector Button RST button and USR button CPU 1st competitive RISC-V chip 28nm process, dual-core RISC-V 64bit IMAFDC, on-chip huge 8MB high-speed SRAM, 400MHz frequency (able up to 800MHz) KPU (Neural Network Processor): 64 KPU 576bit width convolution kernels any form of activation function. 0.25TOPS (trillion operations per second) @ 0.3W 400MHz, When overclocked to 800MHz, it offers 0.5TOPS APU (Audio Processor) 8 mics up to 192 kHz sample rate FFT unit Flexible FPIOA (Field Programmable IO Array), you can map 255 functions to all 48 GPIOs on the chip DVP camera and MCU LCD interface, you can connect a DVP camera, run your algorithm, and display on LCD Other accelerators and peripherals AES Accelerator SHA256 Accelerator FFT Accelerator (not APU's one) OTP UART WDT IIC SPI I2S TIMER RTC PWM Software The Sipeed AI & IoT board supports original standalone SDK, FreeRTOS SDK based on C/C++.You can port micropython on it: http://en.maixpy.sipeed.com/. It also supports FPIOA, GPIO, TIMER, PWM, Flash, OV2640, LCD. And it has zmodem, vi, SPIFFS on it, so that you can edit python directly or sz/rz file to board. Seedstudio offers even more support to your project with their GitHub contributions:https://github.com/sipeed/MaixPyhttps://github.com/sipeed/MaixPy_Doc_Us_En_Backup Deep Learning The Sipeed AI & IoT board supports a fixed-point model that the mainstream training framework trains, according to specific restriction rules, and have a model compiler to compile models to its model format.It supports tiny-yolo, mobilenet-v1, and, TensorFlow Lite! Many TensorFlow Lite model can be compiled and run on the Sipeed AI & IoT board! Software Features Support FreeRtos and Standard development kit Support MicroPython on M1 Machine vision based on convolutional neural network High-performance microphone array processor Electrical Specifications Supply voltage 4.8 V ~ 5.2 V Supply current > 600 mA Temperature rise Working temperature - 30 ℃ ~ 85 ℃

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    $39.00

    Members $35.10

  • Sipeed MAix BiT for RISC-V AI + IoT

    Seeed Studio Sipeed MAix BiT for RISC-V AI + IoT

    Out of stock

    AI is pervasive today, from consumer to enterprise applications. With the explosive growth of connected devices, combined with a demand for privacy/confidentiality, low latency and bandwidth constraints, AI models trained in the cloud increasingly need to be run at the edge.MAix is Sipeed’s purpose-built module designed to run AI at the edge, we called it AIoT. It delivers high performance in a small physical and power footprint, enabling the deployment of high-accuracy AI at the edge, and the competitive price make it possible embed to any IoT devices. As you see, Sipeed MAIX is quite like Google edge TPU, but it act as master controller, not an accelerator like edge TPU, so it is more low cost and low power than AP+edge TPU solution.Features It is twice of M1 size, 1x2 inch size, breadboard-friendly, and also SMT-able It integrate USB2UART chip, auto download circuit, RGB LED, DVP Camera FPC connector(support small FPC camera and standard M12 camera), MCU LCD FPC connector (support our 2.4 inch QVGA LCD), TF card slot. MAix BiT is able to adjust core voltage! you can adjust from 0.8V~1.2V, overclock to 800MHz! Technical Specification CPU: RISC-V Dual Core 64bit, 400MHz adjustable Powerful dual-core 64-bit open architecture-based processor with rich community resources Debugging Support High-speed UART and JTAG interface for debugging GPIO interface All GPIOs connected to header 2*20 2.54mm Micro SD card (TF card) slot Support Self-elastic card holder One-click Download circuit Just connect the USB typeC cable to complete the downloadOnboard CH340, which support 2Mbps baudrate DVP Camera connector 24P 0.5mm FPC connector LCD connector 8bit MCU LCD 24P 0.5mm FPC connector Button RST button and USR button

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    $28.00

    Members $25.20

  • ROBOTIS TurtleBot3 Burger (incl. Raspberry Pi 4)

    ROBOTIS TurtleBot3 Burger (incl. Raspberry Pi 4)

    Out of stock

    World’s Most Popular ROS Platform TurtleBot is the most popular open source robot for education and research. The new generation TurtleBot3 is a small, low cost, fully programmable, ROS based mobile robot. It is intended to be used for education, research, hobby and product prototyping. Affordable Cost TurtleBot was developed to meet the cost-conscious needs of schools, laboratories and companies. TurtleBot3 is the most affordable robot among the SLAM-able mobile robots equipped with a 360° Laser Distance Sensor LDS-01. Small Size The dimension of TurtleBot3 Burger is only 138 x 178 x 192 mm (L x W x H). Its size is about 1/4 of the size of the predecessor. Imagine keeping TurtleBot3 in your backpack and develop your program and test it anywhere you go. ROS Standard The TurtleBot brand is managed by Open Robotics, which develops and maintains ROS. Nowadays, ROS has become the go-to platform for all the roboticists around the world. TurtleBot can be integrated with existing ROS-based robot components, but TurtleBot3 can be an affordable platform for whom want to get started learning ROS. Extensibility TurtleBot3 encourages users to customize its mechanical structure with some alternative options: open source embedded board (as a control board), computer and sensors. TurtleBot3 Burger is a two-wheeled differential drive type platform but it is able to be structurally and mechanically customized in many ways: Cars, Bikes, Trailers and so on. Extend your ideas beyond imagination with various SBC, sensors and motors on a scalable structure. Modular Actuator for Mobile Robot TurtleBot3 is able to get a precise spatial data by using 2 DYNAMIXEL’s in the wheel joints. DYNAMIXEL XM series can be operated by one of 6 operating modes (XL series: 4 operating modes): Velocity control mode for wheels, Torque control mode or Position control mode for joint, etc. DYNAMIXEL can be used even to make a mobile manipulator which is light but can be precisely controlled with velocity, torque and position control. DYNAMIXEL is a core component that makes TurtleBot3 perfect. It is easy to assemble, maintain, replace and reconfigure. Open Control Board for ROS The control board is open-sourced in hardware wise and in software wise for ROS communication. The open source control board OpenCR1.0 is powerful enough to control not only DYNAMIXEL’s but also ROBOTIS sensors that are frequently being used for basic recognition tasks in cost effective way. Various sensors such as Touch sensor, Infrared sensor, Color sensor and a handful more are available. The OpenCR1.0 has an IMU sensor inside the board so that it can enhance precise control for countless applications. The board has 3.3 V, 5 V, 12 V power supplies to reinforce the available computer device lineups. Strong Sensor Lineups TurtleBot3 Burger uses enhanced 360° LiDAR, 9-Axis Inertial Measurement Unit and precise encoder for your research and development. Open Source The hardware, firmware and software of TurtleBot3 are open source which means that users are welcomed to download, modify and share source codes. All components of TurtleBot3 are manufactured with injection molded plastic to achieve low cost, however, the 3D CAD data is also available for 3D printing. Specifications Maximum translational velocity 0.22 m/s Maximum rotational velocity 2.84 rad/s (162.72 deg/s) Maximum payload 15 kg Size (L x W x H) 138 x 178 x 192 mm Weight (+ SBC + Battery + Sensors) 1 kg Threshold of climbing 10 mm or lower Expected operating time 2h 30m Expected charging time 2h 30m SBC (Single Board Computers) Raspberry Pi 4 (2 GB RAM) MCU 32-bit ARM Cortex-M7 with FPU (216 MHz, 462 DMIPS) Actuator XL430-W250 LDS (Laser Distance Sensor) 360 Laser Distance Sensor LDS-01 or LDS-02 IMU Gyroscope 3 AxisAccelerometer 3 Axis Power connectors 3.3 V/800 mA5 V/4 A12 V/1 A Expansion pins GPIO 18 pinsArduino 32 pin Peripheral 3x UART, 1x CAN, 1x SPI, 1x I²C, 5x ADC, 4x 5-pin OLLO DYNAMIXEL ports 3x RS485, 3x TTL Audio Several programmable beep sequences Programmable LEDs 4x User LED Status LEDs 1x Board status LED1x Arduino LED1x Power LED Buttons and Switches 2x Push buttons, 1x Reset button, 2x Dip switch Battery Lithium polymer 11.1 V 1800 mAh / 19.98 Wh 5C PC connection USB Firmware upgrade via USB / via JTAG Power adapter (SMPS) Input: 100-240 VAC 50/60 Hz, 1.5 A @maxOutput: 12 VDC, 5 A Downloads ROS Robot Programming GitHub E-Manual Community

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    $818.00

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  • $72.00

    Members $64.80

  • Unitree Quadruped Go1 Edu Plus (NVIDIA NX)

    Unitree Quadruped Go1 Edu Plus (NVIDIA NX)

    Unitree Go1 series consists of quadruped robots for the research & development of autonomous systems in the fields of human-robot interaction (HRI), SLAM & transportation. Due to the four legs, as well as the 12DOF, this robot can handle a variety of different terrains. The Go1 comes with a perfected drive & power management system, which enables a speed (depending on the version) of up to 3.7 m/s or 11.88 km/h with an operating time of up to 2.5 hours. Furthermore, the motors have a torque of 23.70N.m at the body/thighs and 35.55N.m at the knees, which also allow jumps or backflips. Features High Dynamics 17 km/h Intelligent Side-Follow System (ISS) Super Sensory System (SSS) 10-view Detection AI Detection, Human Recognition, etc. Flexible and adaptive Joints Long Endurance Specifications Light and Compact Weight: 12 kg Size (folded): 0.588 x 0.29 x 0.22 m High Performance Max Speed: 4.7 m/s (17 kmh or 10.6 mph) Intelligent Side Follow System (Adopt Patented Wireless Vector Positioning and Control Technology) Robot dog can walk alongside its owner and not only follow The human-machine interaction is both harmonious and safe Super Sensory System Full View Coverage 5 Sets Fish-Eye Stereo Depth Cameras + AI Post-processing + 3 Sets of Hypersonic Sensors Lens Angle: 150 x 170° Built-in Powerful AI 16-core CPU + GPU (384 Cores, 1.5 TFLOPS) ISS and SSS Function Cooperatively Strong & Reliable Power System New Power Joint with Super Lightweight Low Noise and Long Life Heat Pipe Cooling System Built in the Knee Joint Motor Body/thigh joints: C1-8: 520 g 23.70N.m Knee Joint: C1-8 x 1.5 ratio 35.55N.m Unitree Go1 Variants The Go1 series has 3 variants (Go1 Air, Go1 Pro and Go1 Edu), which differ a little technically. The differences are mainly the processors and sensor systems, the Air and Pro variant works, depending on the model, with one or 3x (4x 1.43 GHz 128 Cores 0.5 T) processor as well as with 1 or 5 super sensor systems. Both variants are equipped with 3 ultrasonic sensors. The Go1 Edu variant has up to 3 nano processors, 5 super sensor systems, and 4 ultrasonic sensors. In contrast, Edu Plus is equipped with an Nvidia Jetson Xavier NX as standard. Model Comparison   Go1 Air Go1 Pro Go1 Edu Go1 Edu Plus SSS 1 Super-sensing system 1 set 5 sets 5 sets 5 sets Sensing calculation 1x (4x 1.43 GHz 128 Cores 0.5 T) 3x (4x 1.43 GHz 128 Cores 0.5 T) 3 Jetson Nano 2 Jetson Nano + 1 NVIDIA Jetson NX ISS 1 Intelligent Concomitant ✓ ✓ ✓ ✓ RTT 1 Pictures Transaction ✓ ✓ ✓ ✓ Charger 24 V, 4 V 24 V, 6 V 24 V, 6 V 24 V, 6 V Remote Control ✓ ✓ ✓ ✓ Load ≈3 kg ≈3 kg ≈5 kg (max ~10 kg) ≈5 kg (max ~10 kg) Heat Pipe Assisted Heat Dissipation ✓ ✓ ✓ ✓ Motion Speed 0~2.5 m/s 0~3.5 m/s 0~3.7 m/s (max ~5 m/s) 0~3.7 m/s (max ~5 m/s) Battery 1x 1x 1x 1x Graphical Programming Interface ✓ ✓ ✓ ✓ Scientific Programming Interface     ✓ ✓ Python Programming Interface     ✓ ✓ HAI 1 Human Sensing     ✓ ✓ APP Top View   ✓ ✓ ✓ 4G     ✓ ✓ Foot-end Physical Force Sensor     ✓ ✓ Multifunctional Peripheral Expansion Interface     ✓ ✓ Radar     2D or 3D optional 2D or 3D optional Included 1x Unitree Go1 1x Unitree Go1 Battery 1x Unitree Go1 Charger 1x Unitree Go1 Remote Controller Downloads User Manual GitHub

    $15,927.00

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