The SparkFun Thing Plus Matter is the first easily accessible board of its kind that combines Matter and SparkFun’s Qwiic ecosystem for agile development and prototyping of Matter-based IoT devices. The MGM240P wireless module from Silicon Labs provides secure connectivity for both 802.15.4 with Mesh communication (Thread) and Bluetooth Low Energy 5.3 protocols. The module comes ready for integration into Silicon Labs' Matter IoT protocol for home automation. What is Matter? Simply put, Matter allows for consistent operation between smart home devices and IoT platforms without an Internet connection, even from different providers. In doing so, Matter is able to communicate between major IoT ecosystems in order to create a single wireless protocol that is easy, reliable, and secure to use. The Thing Plus Matter (MGM240P) includes Qwiic and LiPo battery connectors, and multiple GPIO pins capable of complete multiplexing through software. The board also features the MCP73831 single-cell LiPo charger as well as the MAX17048 fuel gauge to charge and monitor a connected battery. Lastly, a µSD card slot for any external memory needs is integrated. The MGM240P wireless module is built around the EFR32MG24 Wireless SoC with a 32-bit ARM Cortext-M33 core processor running at 39 MHz with 1536 kb Flash memory and 256 kb RAM. The MGM240P works with common 802.15.4 wireless protocols (Matter, ZigBee, and OpenThread) as well as Bluetooth Low Energy 5.3. The MGM240P supports Silicon Labs' Secure Vault for Thread applications. Specifications MGM240P Wireless Module Built around the EFR32MG24 Wireless SoC 32-bit ARM-M33 Core Processor (@ 39 MHz) 1536 kB Flash Memory 256 kB RAM Supports Multiple 802.15.4 Wireless Protocols (ZigBee and OpenThread) Bluetooth Low Energy 5.3 Matter-ready Secure Vault Support Built-in Antenna Thing Plus Form-Factor (Feather-compatible): Dimensions: 5.8 x 2.3 cm (2.30 x 0.9') 2 Mounting Holes: 4-40 screw compatible 21 GPIO PTH Breakouts All pins have complete multiplexing capability through software SPI, I²C and UART interfaces mapped by default to labeled pins 13 GPIO (6 labeled as Analog, 7 labeled for GPIO) All function as either GPIO or Analog Built-in-Digital to Analog Converter (DAC) USB-C Connector 2-Pin JST LiPo Battery Connector for a LiPo Battery (not included) 4-Pin JST Qwiic Connector MC73831 Single-Cell LiPo Charger Configurable charge rate (500 mA Default, 100 mA Alternate) MAX17048 Single-Cell LiPo Fuel Gauge µSD Card Slot Low Power Consumption (15 µA when MGM240P is in Low Power Mode) LEDs: PWR – Red Power LED CHG – Yellow battery charging status LED STAT – Blue status LED Reset Button: Physical push-button Reset signal can be tied to A0 to enable use as a peripheral device Downloads Schematic Eagle Files Board Dimensions Hookup Guide Datasheet (MGM240P) Fritzing Part Thing+ Comparison Guide Qwiic Info Page GitHub Hardware Repo

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The LuckFox Pico Ultra is a compact single-board computer (SBC) powered by the Rockchip RV1106G3 chipset, designed for AI processing, multimedia, and low-power embedded applications. It comes equipped with a built-in 1 TOPS NPU, making it ideal for edge AI workloads. With 256 MB RAM, 8 GB onboard eMMC storage, integrated WiFi, and support for the LuckFox PoE module, the board delivers both performance and versatility across a wide range of use cases. Running Linux, the LuckFox Pico Ultra supports a variety of interfaces – including MIPI CSI, RGB LCD, GPIO, UART, SPI, I²C, and USB – providing a simple and efficient development platform for applications in smart home, industrial control, and IoT. Specifications Chip Rockchip RV1106G3 Processor Cortex-A7 1.2 GHz Neural Network Processor (NPU) 1 TOPS, supports int4, int8, int16 Image Processor (ISP) Max input 5M @30fps Memory 256 MB DDR3L WiFi + Bluetooth 2.4GHz WiFi-6 Bluetooth 5.2/BLE Camera Interface MIPI CSI 2-lane DPI Interface RGB666 PoE Interface IEEE 802.3af PoE Speaker interface MX1.25 mm USB USB 2.0 Host/Device GPIO 30 GPIO pins Ethernet 10/100M Ethernet controller and embedded PHY Default Storage Medium eMMC (8 GB) Included 1x LuckFox Pico Ultra W 1x LuckFox PoE module 1x IPX 2.4G 2 db antenna 1x USB-A to USB-C cable 1x Screws pack Downloads Wiki

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If you are looking for an easy way to get started with soldering or simply want to make a small portable gadget, this set is a great opportunity. "LED cube" is an educational set for learning the soldering skill, with which you get a small electronic game at the end. After you turn on and shake this board, certain leds will light up randomly and symbolize the number, as if a real die had been thrown. It is based on the Attiny404 microcontroller, programmed in Arduino, and there is a battery on the back which makes this gadget portable. There is also a keychain so you can always carry your new game with you! Soldering is easy according to the markings on the board. Included 1x PCB 1x ATtiny404 microcontroller 7x LEDs 7x Resistors (330 ohm) 1x Resistor (10 kohm) 1x Battery holder 1x CR2032 battery 1x Switch 1x Vibration sensor SW-18020P 1x Keychain ring

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Temporary Delay in the Delivery of Unitree Robots Like many other suppliers, we are currently experiencing delays in the delivery of Unitree robots. A shipment from our supplier is currently held in customs, which has unfortunately led to later-than-planned deliveries for previously placed orders. We are actively working with our supplier to resolve this issue and expect more clarity soon, but at this time, we cannot provide any guarantees. Additionally, a new shipment is already on its way, though it will take some time to arrive. Since other suppliers are facing similar challenges, switching to a different provider is unlikely to result in a faster solution. Our top priority remains fulfilling existing orders. If you have any questions or would like to update your order, please do not hesitate to contact our customer service team. We will keep you informed of any further developments. Unitree Go2 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 Go2 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 4 hours. Furthermore, the motors have a torque of 45 N.m at the body/thighs and at the knees, which also allow jumps or backflips. Features Super Recognition System: 4D LIDAR L1 Max Running Speed: approx. 5 m/s Peak Joint Torque: approx. 45 N.m Wireless Module: WiFi 6/Bluetooth/4G Ultra-long battery Endurance: approx. 2-4 h (long battery life measured in real life) Intelligent Side-follow System: ISS 2.0 Specifications Tracking module: Remote-controlled or automatic tracking Front camera: Image tansmission Resolution 1280x720, FOV 120°, Ultra wide angle lens deliver rich clarity Front lamp: Brightly lights the way ahead 4D LiDAR L1: 360°x90° omnidirectional ultra-wide-angle scanning allows automatic avoidance with small blind spot and stable operation 12 knee joint motors: Strong and powerful, Beautiful and simple, Brandy new visual experience Intercom microphone: Effective communication with no scenario restrictions Self-retracting strap: Easy to carry and load things More stable, more powerful with advanced devices: 3D LiDAR, 4G ESIM Card, WiFi 6 with Dual-band, Bluetooth 5.2 for stable connection and remote control Powerful Computing Core: Motion controller, High-performance ARM processor, Improved Al algorithm processor, External ORIN NX/NANO Smart battery: Standard 8000 mAh battery, Long-endurance 15000 mAh battery, Protection from over-temp, overcharge and short-circuit Speaker for music play: Listen to music as your pleasure Unitree Go2 Variants The Go2 impresses not only with its technical capabilities, but also with a modern and slim design that gives it a futuristic look and makes it a real eye-catcher. The Go2 Air is specially designed for demos and presentations. With its basic features, it offers a solid basis for demonstrating the movement capabilities and functionality of a four-legged robot. Important: The Go2 Air is delivered without a controller. This can be purchased optionally. With a powerful 8-core high-performance CPU, the Pro and Edu offer impressive computing power required for complex tasks and demanding calculations. This enables faster and more efficient data processing and makes the Pro and Edu a reliable partner for your projects. From the Edu version onwards, the Go2 is programmable and opens up endless possibilities for developing and researching your own robotics applications. The Go2 is also able to handle a step height of up to 14 cm. This makes it an ideal tool for research, education and entry into the world of robotics. The Go2 Edu comes with a remote controller that gives you easy and intuitive control. You also get a docking station with impressive computing power of 100 TOPS, which is equipped with powerful AI algorithms and offers you technical support. Go2 Edu is equipped with a powerful 15000 mAh battery that gives it an impressive runtime of up to 4 hours. This long operating time allows the robot to carry out longer exploration missions and complete demanding tasks. Model Comparison Air Pro Edu/Edu Plus Dimensions (standing) 70 x 31 x 40 cm 70 x 31 x 40 cm 70 x 31 x 40 cm Dimensions (crouching) 76 x 31 x 20 cm 76 x 31 x 20 cm 76 x 31 x 20 cm Material Aluminium alloy + High strength engineering plastic Aluminium alloy + High strength engineering plastic Aluminium alloy + High strength engineering plastic Weight (with battery) about 15 kg about 15 kg about 15 kg Voltage 28~33.6 V 28~33.6 V 28~33.6 V Peaking capacity about 3000 W about 3000 W about 3000 W Payload ≈7 kg (MAX ~ 10 kg) ≈8 kg (MAX ~ 10 kg) ≈8 kg (MAX ~ 12 kg) Speed 0~2.5 m/s 0~3.5 m/s 0~3.7 m/s (MAX ~ 5 m/s) Max Climb Drop Height about 15 cm about 16 cm about 16 cm Max Climb Angle 30° 40° 40° Basic Computing Power N/A 8-core High-performance CPU 8-core High-performance CPU Aluminum knee joint motor 12 set 12 set 12 set Intra-joint circuit (knee) ✓ ✓ ✓ Joint Heat Pipe Cooler ✓ ✓ ✓ Range of Motion Body: −48~48° Body: −48~48° Body: −48~48° Thigh: −200°~90° Thigh: −200°~90° Thigh: −200°~90° Shank: −156°~−48° Shank: −156°~−48° Shank: −156°~−48° Max Torque N/A about 45 N.m about 45 N.m Super-wide-angle 3D LiDAR ✓ ✓ ✓ Wireless Vector Positioning Tracking Module N/A ✓ ✓ HD Wide-angle Camera ✓ ✓ ✓ Foot-end force sensor N/A N/A ✓ Basic Action ✓ ✓ ✓ Auto-scaling strap N/A ✓ N/A Upgraded Intelligent OTA ✓ ✓ ✓ RTT 2.0 Image Transmission ✓ ✓ ✓ App Basic Remote Control ✓ ✓ ✓ App Data Viewing ✓ ✓ ✓ App Graphical Programme ✓ ✓ ✓ Front Lamp (3 W) ✓ ✓ ✓ WiFi 6 with Dual-band ✓ ✓ ✓ Bluetooth 5.2/4.2/2.1 ✓ ✓ ✓ 4G Module N/A CN/GB CN/GB Voice Function N/A ✓ ✓ Music Playback N/A ✓ ✓ ISS 2.0 Intelligent side-follow system N/A ✓ ✓ Intelligent detection and avoidance ✓ ✓ ✓ Secondary development N/A N/A ✓ Manual controller Optional Optional ✓ High computing power module N/A N/A Edu: 40 TOPS computing power Edu Plus: 100 TOPS computing power NVIDIA Jetson Orin (optional) Smart Battery Standard (8000 mAh) Standard (8000 mAh) Long endurance (15000 mAh) Battery Life 1-2 h 1-2 h 2-4 h Charger Standard (33.6 V, 3.5 A) Standard (33.6 V, 3.5 A) Fast charge (33.6 V, 9 A) Included 1x Unitree Go2 Pro 1x Unitree Go2 Battery (8000 mAh) Downloads Documentation iOS/Android apps GitHub

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Solder Paste Dispensing and Reflow All-in-One The Voltera V-One creates two-layer prototype circuit boards on your desk. Gerber files go in, printed circuit boards come out. The dispenser lays down a silver-based conductive ink to print your circuit right before your eyes. Assembling traditional and additive boards is easy with the V-One’s solder paste dispensing and reflow features. Simply mount your board on the print bed and import your Gerber file into Voltera’s software. No more stencils required Voltera’s software is designed to be understood easily. From importing your Gerber files to the moment you press print, the software safely walks you through each step. Compatible with EAGLE, Altium, KiCad, Mentor Graphics, Cadence, DipTrace, Upverter. Included V-One PCB printer V-One dispenser V-One probe Nozzle pack Tip caps 3 x 4" FR1 substrate pack 2 x 3" FR1 substrate pack Substrate clamps Thumbscrew pack Hello World kit Solder wire Tweezers Power supply Power adapter Cables User guides Downloads Specifications V-One Software Manuals Safety Datasheets Technical Datasheets Voltera CAM file for EAGLE Substrates and Templates More Info Frequently Asked Questions More from the Voltera community Technical Specifications Printing Specifications Minimum trace width 0.2 mm Minimum passive size 1005 Minimum pin-to-pin pitch (conductive ink) 0.8 mml Minimum pin-to-pin pitch (solder paste) 0.5 mml Resistivity 12 mΩ/sq @ 70 um height Substrate material FR4 Maximum board thickness 3 mm Soldering Specifications Solder paste alloy Sn42/Bi57.6/Ag0.4 Solder wire alloy SnBiAg1 Soldering iron temperature 180-210°C Print Bed Print area 135 x 113.5 mm Max. heated bed temperature 240°C Heated bed ramp rate ~2°C/s Footprint Dimensions 390 x 257 x 207 mm (L x W x H) Weight 7 kg Computing Requirements Compatible operating systems Windows 7 or higher, MacOS 10.11 or higher Compatible file format Gerber Connection type Wired USB Certification EN 61326-1:2013 EMC requirements IEC 61010-1 Safety requirements CE Marking Affixed to the Voltera V-One printers delivered to European customers Designed and assembled in Canada. More technical information Quickstart Explore Flexible Printed Electronics on the V-One Voltera V-One Capabilities Reel Voltera V-One PCB Printer Walkthrough Unpacking the V-One V-One: Solder Paste Dispensing and Reflow All-in-One Voltera @ Stanford University's Bao Research Group: Robotic Skin and Stretchable Sensors Voltera @ Princeton: The Future of Aerospace Innovation

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The CubeCell series is designed primarily for LoRa/LoRaWAN node applications. Built on the ASR605x platform (ASR6501, ASR6502), these chips integrate the PSoC 4000 series MCU (ARM Cortex-M0+ Core) with the SX1262 module. The CubeCell series offers seamless Arduino compatibility, stable LoRaWAN protocol operation, and straightforward connectivity with lithium batteries and solar panels. The HTCC-AB02S is a developer-friendly board with an integrated AIR530Z GPS module, ideal for quickly testing and validating communication solutions. Features Arduino compatible Based on ASR605x (ASR6501, ASR6502), those chips are already integrated the PSoC 4000 series MCU (ARM Cortex M0+ Core) and SX1262 LoRaWAN 1.0.2 support Ultra low power design, 21 uA in deep sleep Onboard SH1.25-2 battery interface, integrated lithium battery management system (charge and discharge management, overcharge protection, battery power detection, USB/battery power automatic switching) Good impendence matching and long communication distance Onboard solar energy management system, can directly connect with a 5.5~7 V solar panel Micro USB interface with complete ESD protection, short circuit protection, RF shielding, and other protection measures Integrated CP2102 USB to serial port chip, convenient for program downloading, debugging information printing Onboard 0.96-inch 128x64 dot matrix OLED display, which can be used to display debugging information, battery power, and other information Using Air530 GPS module with GPS/Beidou Dual-mode position system support Specifications Main Chip ASR6502 (48 MHz ARM Cortex-M0+ MCU) LoRa Chipset SX1262 Frequency 863~870 MHz Max. TX Power 22 ±1 dBm Max. Receiving Sensitivity −135 dBm Hardware Resource 2x UART1x SPI2x I²C1x SWD3x 12-bit ADC input8-channel DMA engine16x GPIO Memory 128 Kb FLASH16 Kb SRAM Power consumption Deep sleep 21 uA Interfaces 1x Micro USB1x LoRa Antenna (IPEX)2x (15x 2.54 Pin header) + 3x (2x 2.54 Pin header) Battery 3.7 V lithium battery (power supply and charging) Solar Energy VS pin can be connected to 5.5~7 V solar panel USB to Serial Chip CP2102 Display 0.96" OLED (128 x 64) Operating temperature −20~70°C Dimensions 55.9 x 27.9 x 9.5 mm Included 1x CubeCell HTCC-AB02S Development Board 1x Antenna 1x 2x SH1.25 battery connector Downloads Datasheet Schematic GPS module (Manual) Quick start GitHub

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Onboard each moto:bit are multiple I/O pins, as well as a vertical Qwiic connector, capable of hooking up servos, sensors and other circuits. At the flip of the switch, you can get your micro:bit moving! The moto:bit connects to the micro:bit via an updated SMD, edge connector at the top of the board, making setup easy. This creates a handy way to swap out micro:bits for programming while still providing reliable connections to all of the different pins on the micro:bit. We have also included a basic barrel jack on the moto:bit that is capable of providing power to anything you connect to the carrier board. Features More reliable Edge connector for easy use with the micro:bit Full H-Bridge for control of two motors Control servo motors Vertical Qwiic Connector I²C port for extending functionality Power and battery management onboard for the micro:bit

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The Challenger RP2040 NFC is a small embedded computer, equipped with an advanced on-board NFC controller (NXP PN7150), in the popular Adafruit Feather form factor. It is based on an RP2040 microcontroller chip from the Raspberry Pi Foundation which is a dual-core Cortex-M0 that can run on a clock up to 133 MHz. NFC The PN7150 is a full featured NFC controller solution with integrated firmware and NCI interface designed for contactless communication at 13.56 MHz. It is fully compatible with NFC forum requirements and is greatly designed based on learnings from previous NXP NFC device generation. It is the ideal solution for rapidly integrating NFC technology in any application, especially small embedded systems reducing Bill of Material (BOM). The integrated design with full NFC forum compliancy gives the user all the following features: Embedded NFC firmware providing all NFC protocols as pre-integrated feature. Direct connection to the main host or microcontroller, by I²C-bus physical and NCI protocol. Ultra-low power consumption in polling loop mode. Highly efficient integrated power management unit (PMU) allowing direct supply from a battery. Specifications Microcontroller RP2040 from Raspberry Pi (133 MHz dual-core Cortex-M0) SPI One SPI channels configured I²C Two I²C channel configured (dedicated I²C for the PN7150) UART One UART channel configured Analog inputs 4 analog input channels NFC module PN7150 from NXP Flash memory 8 MB, 133 MHz SRAM memory 264 KB (divided into 6 banks) USB 2.0 controller Up to 12 MBit/s full speed (integrated USB 1.1 PHY) JST Battery connector 2.0 mm pitch On board LiPo charger 450 mA standard charge current Dimensions 51 x 23 x 3,2 mm Weight 9 g Note: Antenna is not included. Downloads Datasheet Quick start example

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The MKR IoT Carrier comes equipped with 5 RGB LEDs, 5 capacitive touch buttons, a colored display, IMU and a variety of quality sensors. It also features a battery holder for a 18650 Li-Ion battery, SD card holder and Grove connectors. Data Capture: Map the environment around the carrier using the integrated temperature, humidity, and pressure sensors and collect data about movement using the 6 axis IMU and light, gesture, and proximity sensors. Easily add more external sensors to capture more data from more sources via the on-board Grove connectors (x3). Data Storage: Capture and store all the data locally on an SD card, or connect to the Arduino IoT Cloud for real-time data capture, storage, and visualization. Data Visualisation: Locally view real-time sensor readings on the built-in OLED Color Display and create visual or sound prompts using the embedded LEDs and buzzer. Total Control: Directly control small-voltage electronic appliances using the onboard relays and the five tactile buttons, with the integrated display providing a handy on-device interface for immediate control.

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The Nicla Sense ME is a tiny, low-power tool that sets a new standard for intelligent sensing solutions. With the simplicity of integration and scalability of the Arduino ecosystem, the board combines four state-of-the-art sensors from Bosch Sensortec: BHI260AP motion sensor system with integrated AI BMM150 magnetometer BMP390 pressure sensor BME688 4-in-1 gas sensor with AI and integrated high-linearity, as well as high-accuracy pressure, humidity and temperature sensors. The Arduino Nicla Sense ME is the smallest Arduino form factor yet, with a range of industrial grade sensors packed into a tiny footprint. Measure process parameters such as temperature, humidity and movement. Featuring a 9-axis inertial measurement unit and the possibility for Bluetooth Low Energy connectivity, it can help you to create your next Bluetooth Low Energy enabled project. Make your own industrial grade wireless sensing network with the onboard BHI260AP, BMP390, BMM150 and BME688 Bosch sensors. Features Tiny size, packed with features Low power consumption Add sensing capabilities to existing projects When battery-powered, becomes a complete standalone board Powerful processor, capable of hosting intelligence on the Edge Measures motion and environmental parameters Robust hardware including industrial-grade sensors with embedded AI BLE connectivity maximizes compatibility with professional and consumer equipment 24/7 always-on sensor data processing at ultra-low power consumption Specifications BHI260AP – Self-learning AI smart sensor with integrated accelerometer and gyroscope BMP390 – Digital pressure sensor BMM150 – Geomagnetic sensor BME688 – Digital low power gas, pressure, temperature & humidity sensor with AI Microcontroller 64 MHz ARM Cortex-M4 (nRF52832) Sensors I/O Castellated pins with the following features: 1x I²C bus (with ext. ESLOV connector) 1x Serial port 1x SPI 2x ADC, programmable I/O voltage from 1.8-3.3 V Connectivity Bluetooth 4.2 Power Micro USB (USB-B), Pin Header, 3.7 V Li-po battery with Integrated battery charger Memory 512 KB Flash / 64 KB RAM 2 MB SPI Flash for storage 2 MB QSPI dedicated for BHI260AP Interface USB interface with debug functionality Dimensions 22.86 x 22.86 mm Weight 2 g Downloads Datasheet

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Ever wanted an automated house? Or a smart garden? Well, now it’s easy with the Arduino IoT Cloud compatible boards. It means: you can connect devices, visualize data, control and share your projects from anywhere in the world. Whether you’re a beginner or a pro, we have a wide range of plans to make sure you get the features you need. Connect your sensors and actuators over long distances harnessing the power of the LoRa wireless protocol or throughout LoRaWAN networks. The Arduino MKR WAN 1310 board provides a practical and cost effective solution to add LoRa connectivity to projects requiring low power. This open source board can be connected to the Arduino IoT Cloud. Better and More Efficient The MKR WAN 1310, brings in a series of improvements when compared to its predecessor, the MKR WAN 1300. While still based on the Microchip SAMD21 low power processor, the Murata CMWX1ZZABZ LoRa module, and the MKR family’s characteristic crypto chip (the ECC508), the MKR WAN 1310 includes a new battery charger, a 2 MByte SPI Flash, and improved control of the board’s power consumption. Improved Battery Power The latest modifications have considerably improved the battery life on the MKR WAN 1310. When properly configured, the power consumption is now as low as 104 uA! It is also possible to use the USB port to supply power (5 V) to the board; run the board with or without batteries – the choice is yours. On-board Storage Data logging and other OTA (Over The Air) functions are now possible since the inclusion of the on board 2 MByte Flash. This new exciting feature will let you transfer configuration files from the infrastructure onto the board, create your own scripting commands, or simply store data locally to send it whenever the connectivity is best. Whilst the MKR WAN 1310’s crypto chip adds further security by storing credentials & certificates in the embedded secure element. These features make it the perfect IoT node and building block for low-power wide-area IoT devices. Specifications The Arduino MKR WAN 1310 is based on the SAMD21 microcontroller. Microcontroller SAMD21 Cortex-M0+ 32-bit low power ARM MCU (datasheet) Radio module CMWX1ZZABZ (datasheet) Board power supply (USB/VIN) 5 V Secure element ATECC508 (datasheet) Supported batteries Rechargeable Li-Ion, or Li-Po, 1024 mAh minimum capacity Circuit operating voltage 3.3 V Digital I/O pins 8 PWM pins 13 (0 .. 8, 10, 12, 18 / A3, 19 / A4) UART 1 SPI 1 I²C 1 Analog input pins 7 (ADC 8/10/12 bit) Analog output pins 1 (DAC 10 bit) External interrupts 8 (0, 1, 4, 5, 6, 7, 8, 16 / A1, 17 / A2) DC current per I/O pin 7 mA CPU flash memory 256 KB (internal) QSPI flash memory 2 MByte (external) SRAM 32 KB EEPROM No Clock speed 32.768 kHz (RTC), 48 MHz LED_BUILTIN 6 USB Full-Speed USB Device and embedded Host Antenna gain 2 dB (bundled pentaband antenna) Carrier frequency 433/868/915 MHz Dimensions 67.64 x 25 mm Weight 32 g Downloads Eagle Files Schematics Fritzing Pinout

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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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This electronic dice with 7 red LEDs rolls when the push button is released and works with a 9 V battery (not included). Downloads Manual

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The reComputer J3010 is a compact and powerful edge AI device powered by the NVIDIA Jetson Orin Nano SoM, delivering an impressive 20 TOPS AI performance – up to 40 times faster than the Jetson Nano. Pre-installed with Jetpack 5.1.1, it features a 128 GB SSD, 4x USB 3.2 ports, HDMI, Gigabit Ethernet, and a versatile carrier board with M.2 Key E for WiFi, M.2 Key M for SSD, RTC, CAN, and a 40-pin GPIO header. Applications AI Video Analytics Machine Vision Robotics Specifications Jetson Orin Nano System-on-Module AI Performance reComputer J3010, Orin Nano 4 GB (20 TOPS) GPU 512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores (Orin Nano 4 GB) CPU 6-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5 MB L2 + 4 MB L3 Memory 4 GB 64-bit LPDDR5 34 GB/s (Orin Nano 4 GB) Video Encoder 1080p30 supported by 1-2 CPU cores Video Decoder 1x 4K60 (H.265) | 2x 4K30 (H.265) | 5x 1080p60 (H.265) | 11x 1080p30 (H.265) Carrier Board Storage M.2 Key M PCIe (M.2 NVMe 2280 SSD 128 GB included) Networking Ethernet 1x RJ-45 Gigabit Ethernet (10/100/1000M) M.2 Key E 1x M.2 Key E (pre-installed 1x Wi-Fi/Bluetooth combo module) I/O USB 4x USB 3.2 Type-A (10 Gbps)1x USB 2.0 Type-C (Device Mode) CSI Camera 2x CSI (2-lane 15-pin) Display 1x HDMI 2.1 Fan 1x 4-pin Fan Connector (5 V PWM) CAN 1x CAN Multifunctional Port 1x 40-Pin Expansion header 1x 12-Pin Control and UART header RTC RTC 2-pin, supports CR1220 (not included) Power Supply 9-19 V DC Mechanical Dimensions 130 x 120 x 58.5 mm (with Case) Installation Desktop, wall-mounting Operating Temperature −10°C~60°C Included 1x reComputer J3010 (system installed) 1x Power adapter (12 V / 5 A) Downloads reComputer J301x Datasheet NVIDIA Jetson Devices and carrier boards comparisions reComputer J401 schematic design file reComputer J3010 3D file

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The X500 V2 ARF Kit is an affordable, lightweight, and robust carbon fiber professional drone kit that is easy to assemble (less than 15 minutes). It comes with the X500 V2 Frame Kit and motors, ESCs, power distribution boards and propellers preinstalled. It is perfectly compatible with various flight controllers such as the Holybro Pixhawk series, Durandal, Pix32 V5, etc. There are numerous improvements compared the previous model. Specifications Wheelbase: 500 mm Motor mount pattern: 16x16 mm Frame body: 144x144 mm, 2 mm thick Landing gear height: 215 mm Space between top and bottom plates: 28 mm Weight: 610 g Flight time: ~18 minutes hover with no additional payload. Tested with 5000 mAh battery. Payload: 1500 g (without battery, 70% throttle) Battery recommendation: 4S 3000-5000 mAh 20C+ with XT60 Lipo battery (not Included) Included X500 V2 Frame Kit With Preinstalled Items: 4x Motors: Holybro 2216 KV920 Motor (4 pcs) with XT30 Plug 4x ESCs (BLHeli S ESC 20A) 6x 1045 Propellers Power Distribution Board – XT60 plug for battery & XT30 plug for ESCs & peripherals Note: Depth camera mount is sold separately.

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This is an add-on kit for the Seeed Studio Grove Beginner Kit for Arduino. Applications Suitable for Arduino beginners Suitable for infrared control and motion detect Suitable for getting started with open-source hardware and Arduino coding Included 1x Grove Water Atomization 1x Grove Mini Fan 1x Grove Servo 1x Grove Ultrasonic Distance Sensor 1x Grove Infrared Receiver 1x Grove Mini PIR Motion Sensor 1x Grove Green Wrapper 1x Grove Blue Wrapper 5x Grove Cable 1x Infrared Remote Control Key 1x Ultrasonic Sensor Bracket Set 1x Motor Bracket Set 1x Servo Base

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The uArm Swift Pro is a high quality robotic arm that can be used in a wide range of applications. The uArm Swift Pro was developed and optimized for use in education, which means that many packages are already available for open source platforms such as ROS. The uArm Swift Pro has a position repeatability of 0.2 mm and is also equipped with a stepper motor and a 12-bit encoder. These are just a few reasons that make the uArm Swift Pro an excellent choice for educational use. Another great feature is the 3D printing kit that converts the uArm Swift Pro into a 3D printer in less than 1 minute. The uArm supports the following development platforms/systems: UFACTORY SDK Arduino Python ROS GRABCAD OpenMV Smartphone App The smartphone app for iOS is already available in the App Store and enables easy control and monitoring of the robotic arm. The app for Android is in development and will be available soon. An example of the Machine Vision The following GIF shows the uArm in combination with the OpenMV Machine Vision Cam M7 and the facial recognition applications that can be implemented in MicroPython. Specifications Degrees of Freedom: 4 Repeatability: Up to 0.2 mm Payload: 500 g Working Range: 50-320 mm Positioning Speed: 100 m/s Position Feedback: 12-bit Encoder Dimensions: 150 x 140 x 281mm Weight: 2.2 kg Included UFactory uArm Swift Pro Body Bluetooth & Vacuum Gripper Downloads Datasheet

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The reComputer J1020 v2 is a compact edge AI device powered by the NVIDIA Jetson Nano 4 GB production module, delivering 0.5 TFLOPs of AI performance. It features a robust aluminum case with a passive heatsink and comes pre-installed with JetPack 4.6.1. The device includes 16 GB of onboard eMMC storage and offers 2x SCI, 4x USB 3.0, M.2 Key M, HDMI, and DP. Applications Computer Vision Machine Learning Autonomous Mobile Robot (AMR) Specifications Jetson Nano 4 GB System-on-Module AI Performance Jetson Nano 4 GB (0.5 TOPS) GPU NVIDIA Maxwel architecture with 128 NVIDIA CUDA cores CPU Quad-core ARM Cortex-A57 MPCore processor Memory 4 GB 64-bit LPDDR4 25.6 GB/s Video Encoder 1x 4K30 | 2x 1080p60 | 4x 1080p30 | 4x 720p60 | 9x 720p30 (H.265 & H.264) Video Decoder 1x 4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60 (H.265 & H.264) Carrier Board Storage 1x M.2 Key M PCIe Networking Ethernet 1x RJ-45 Gigabit Ethernet (10/100/1000M) I/O USB 4x USB 3.0 Type-A1x Micro-USB port for device mode CSI Camera 2x CSI (2-lane 15-pin) Display 1x HDMI Type A; 1x DP Fan 1x 4-pin Fan Connector (5 V PWM) CAN 1x CAN Multifunctional Port 1x 40-Pin Expansion header 1x 12-Pin Control and UART header Power Supply DC 12 V/2 A Mechanical Dimensions 130 x 120 x 50 mm (with Case) Installation Desktop, wall-mounting Operating Temperature −10°C~60°C Included reComputer J1020 v2 (system installed) 12 V/2 A power adapter (with 5 interchangeable adapter plugs) Downloads reComputer J1020 v2 datasheet reComputer J1020 v2 3D file Seeed NVIDIA Jetson Product Catalog NVIDIA Jetson Device and Carrier Boards Comparison

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TapNLink modules provide wireless interfaces for linking electronic systems to mobile devices and the Cloud. TapNLink connects directly to the target system's microcontroller. It integrates into and is powered by the target system. All TapNLink products are easily configured to control access by different types of users to data in the target system. TapNLink facilitates rapid creation of Human Machine Interfaces (HMI) that run on Android, iOS and Windows mobiles. HMI apps are easily customized for different users and can be deployed and updated to keep pace with evolving system requirements and user needs. TapNLink Wi-Fi modules can also be configured to connect the target system permanently to a wireless network and the Cloud. This enables permanent logging of target system data and alarms. Features Wireless Channels Wi-Fi 802.11b/g/n Bluetooth Low Energy (BLE 4.2) Near Field Communication (NFC) Type5 tag (ISO/IEC 15693) Supported Target Connections: Connects on 2 GPIO of the target microcontroller and supports: Serial interface with Software Secure Serial Port (S3P) protocol Serial interface with ARM SWD debug protocol. UART with Modbus protocol Mobile Platform Support HTML5 web apps (Android, iOS) API for Cordova (Android, iOS, Windows 10) Java (Android, iOS native) Auto-app generator for Android and iOS mobiles Security Configurable access profiles Configurable, encrypted passwords AES-128/256 module-level data encryption Configurable secure pairing with NFC Dimensions: 38 mm x 28 mm x 3 mm Electrical Characteristics Input voltage: 2.3V to 3.6 V Low power consumption: Standby: 100 µA NFC Tx/Rx: 7 mA Wi-Fi Rx: 110 mA Wi-Fi Tx : 280 mA (802.11b) Temperature Range: -20°C ~ +55°C Compliance CE (Europe), FCC (USA), IC (Canada) REACH RoHS WEEE Ordering Information Base Part Number: TnL-FIW103 MOQ: 20 modules TapNLink modules pre-qualified, pre-programmed and ready to configure. IoTize Studio configuration and testing software Software for HMI on mobile devices (iOS, Android, Windows 10) IoTize Cloud MQTT infrastructure (open source) For more information, check out the datasheet here.

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This educational soldering kit is suitable for all kinds of applications such as model making and works with a 9 V battery (not included). You can control the flashing speed with two potentiometers. Downloads Manual

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The starter kit for Jetson Nano is one of the best kits for beginners to get started with Jetson Nano. This kit includes 32 GB MicroSD card, 20 W adapter, 2-pin jumper, camera, and micro-USB cable. Features 32 GB High-performance MicroSD card 5 V 4 A power supply with 2.1 mm DC barrel connector 2-pin jumper Raspberry Pi camera module V2 Micro-B To Type-A USB cable with DATA enabled

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With a capacity of 15,000 mAh, the Unitree Go2 battery provides a robust power source that enables your robot to complete tasks with ease. Whether for complex exploration, research projects, or fun excursions, this powerful battery delivers the energy your robot needs. The runtime of the Unitree Go2 battery varies depending on the application and usage. Based on the functions and activities employed, the battery can offer between 2 to 4 hours of operation. This flexibility allows you to customize the robot as needed, enabling longer exploration missions or more extensive projects. The Unitree Go2 battery is a reliable companion for your robotics adventures. With its impressive capacity and adaptable runtime, it ensures your robot performs powerfully and with endurance, without frequent recharging. Whether you need the Unitree Go2 battery as a replacement or an upgrade for your robot, this powerful energy storage solution provides the perfect balance of performance and reliability. Specifications Rated voltage: DC 28.8 V Limited charging voltage: DC 33.6 V Charging current: 9 A Rated capacity: 15,000 mAh, 432 Wh Standard: IS 16046 (Part 2) / IEC 62133-2 Self-developed battery management system (BMS) Dimensions: 120 x 80 x 182 mm Functions: Power indicator Self-discharge protection of battery storage Equilibrium charge protection Overcharge protection Discharge protection Short circuit protection Battery charge detection protection

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The QAV250 Kit is the perfect way to get started developing on either PX4 or Ardupilot. It pairs a carbon fiber 250 racing frame and essential electronics with Pixhawk 6C mini autopilot. The kit is easy to assemble. No soldering needed. Specifications Micro Power Module (PM06 v2) Motors: 2207 KV1950 Wheelbase: 250 mm Dimensions: 198 x 235 x 70 mm Weight: 347 g Included Carbon fiber 250 airframe with hardware Micro Power Module (PM06 v2) Motors: 2207 KV1950 5' Plastic Props Fully assembled Power Management Board with ESCs (BLHeli S ESC 20A) Battery Straps Note: LiPo battery is not included.

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The Arduino Pro Portenta Vision Shield LoRa brings industry-rated features to your Portenta. This hardware add-on will let you run embedded computer vision applications, connect wirelessly via LoRa to the Arduino Cloud or your own infrastructure, and activate your system upon the detection of sound events. The shield comes with: a 320x320 pixels camera sensor: use one of the cores in Portenta to run image recognition algorithms using the OpenMV for Arduino editor long range 868/915 MHz LoRa wireless connectivity: get your Portenta H7 connected to the Internet of Things with low power consumption two on-board microphones for directional sound detection: capture and analyse sound in real-time JTAG connector: perform low-level debugging of your Portenta board or special firmware updates using an external programmer SD-Card connector: store your captured data in the card, or read configuration files The Vision Shield LoRa has been designed to work with the Arduino Portenta H7. The Portenta boards feature multicore 32-bit ARM Cortex processors running at hundreds of megahertz, with megabytes of program memory and RAM. Portenta boards come with WiFi and Bluetooth. Specifications Camera Himax HM-01B0 camera module (manufacturer site) Resolution 320 x 320 active pixel resolution with support for QVGA Image sensor High sensitivity 3.6μ BrightSense pixel technology Microphone 2x MP34DT05 (datasheet) Connectivity 868/915MHz ABZ-093 LoRa Module with ARM Cortex-M0+ (datasheet) Dimensions 66 x 25 mm Weight 8 g Downloads Datasheet Schematics

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