Features Ondersteunt motorspanning van 5 V tot 30 V DC Stroom tot 13 A continu en 30 A piek 3,3 V en 5 V logisch niveau ingang Compatibel met Arduino en Raspberry Pi Snelheidsregeling PWM-frequentie tot 20 kHz Volledig NMOS H-Bridge voor betere efficiëntie Er is geen koellichaam nodig Bi-directionele regeling voor één geborstelde DC-motor Regeneratief remmen Voor meer informatie, bekijk de gebruikershandleiding Voor de Arduino-bibliotheek geleverd door mijn Cytron klik hier
Longan Nano ontwikkelbord, dubbel-rij pin layout ontwerp, naaldafstand 700 mil, kan direct in breadboard worden geplaatst; on-board 8M passieve kristal oscillator, 32.768 kHz RTC low-speed kristal oscillator, Mini TF slot, en gebruik Type-C USB interface.Longan Nano ondersteunt meerdere download methoden: USB DFU download, UART ISP download, JTAG download. In de USB DFU-downloadmodus, hebt u alleen een USB Type-C-kabel nodig om het programma naar de ontwikkelingsraad te downloaden. Tegelijkertijd ondersteunt de Longan Nano de standaard JTAG-interface, die online kan worden gedebugged met behulp van de in de winkel verkrijgbare RISC-V debugger of een JTAG-geschikte debugger zoals J-Link.In de tussentijd heeft Sipeed de PlatformIO IDE aangepast voor het Longan Nano-ontwikkelbord, dat visueel ontwikkeld kan worden op meerdere platforms, zoals Windows/Linux: https://github.com/sipeed/platform-gd32vFeatures
Ingebouwd 128KB Flash, 32KB SRAM
4x 16-bits timer voor algemeen gebruik, 2x basis 16-bits timer, 1x geavanceerde 16-bits timer
Waakhond, RTC, Systick
3x USART, 2x I²C, 3x SPI, 2x I²S, 2x CAN, 1x USBFS (OTG)
2x ADC (10-kanaals), 2x DAC
Technische specificaties
CPU
GD32VF103CBT6 gebaseerd op RISC-V 32-bit kern
Kernel stroomverbruik
Nauwelijks 1/3 van de traditionele Cortex-M3
Ingebouwd
128KB Flash, 32KB SRAM
Peripheral
- 4x 16-bit timer voor algemeen gebruik, 2x basis 16-bit timer, 1x geavanceerde 16-bit timer- Watchdog, RTC, Systick- 3x USART, 2x I²C, 3x SPI, 2x I²S, 2x CAN, 1x USBFS (OTG),- 2x ADC (10-kanaals), 2x DAC
Software
IDE
PlatformIO IDE, ondersteuning debugging, Arduino
Compileer Toolchain & Debugger
GCC, OpenOCD
Besturingssysteem
RT-Thread、LiteOS
Hardware
Hardware-uitbreiding
Korte TF-kaartsleuf
Display uitbreiding
8pin 0,5mm FPC Blok Uitbreiding 160x80 RGB IPS LCD (SPI Interface)
Debug-interface
2x4 pin leads naar JTAG debug interface
Connector
Dubbele rij 2.54 pitch pin
Kristal
8MHz Passief Hoge Snelheid Kristal +32.768KHz Lage Snelheid RTC Kristal
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
20 jaar geleden waren robots gebaseerd op eenvoudige 8-bit processoren en aanraaksensoren de norm. Nu is het mogelijk om multi-core robots te bouwen die met intelligentie op hun omgeving kunnen reageren. De robots van vandaag combineren sensorgegevens van versnellingsmeters, gyroscopen en computer vision-sensoren om hun omgeving te leren kennen. Ze kunnen reageren met geavanceerde controlealgoritmen en ze kunnen gegevens zowel lokaal als in de cloud verwerken. Dit boek, dat de theorie en best practices behandelt die samenhangen met geavanceerde robottechnologieën, is geschreven om robotici, zowel hobbyisten als professionals, te helpen hun ontwerpen naar een hoger niveau te tillen. Zoals zal blijken, vereist het bouwen van geavanceerde toepassingen geen extreem dure robottechnologie. Alles wat nodig is, is simpelweg de kennis van welke technologieën er zijn en hoe je ze het beste kunt gebruiken. Elk hoofdstuk in dit boek introduceert een van deze verschillende technologieën en bespreekt hoe deze het best kan worden gebruikt in een robotica-toepassing. Aan de hardwarekant behandelen we microcontrollers, servo's en sensoren, zodat u hopelijk geïnspireerd wordt om uw eigen ontzagwekkende systemen van de volgende generatie te ontwerpen. Aan de softwarekant behandelen we programmeertalen, debugging, algoritmen en toestandsmachines. We richten ons op de Arduino, de Parallax Propeller, Revolution Education PICAXE en projecten waarbij ik betrokken ben geweest, waaronder de TBot educatieve robot, de PropScope oscilloscoop, de 12Blocks visuele programmeertaal en de ViewPort ontwikkelomgeving. Daarnaast geven we een uitgebreide introductie tot een aantal essentiële onderwerpen, waaronder output (bv. LED's, servomotoren) en communicatietechnologieën (bv. infrarood, audio), die je kunt gebruiken om systemen te ontwikkelen die reageren op stimuli en communiceren met mensen en andere robots. Om deze onderwerpen zo toegankelijk mogelijk te maken zijn handige schema's, voorbeeldcode en praktische tips met betrekking tot bouwen en debuggen opgenomen. Hanno Sander Christchurch, Nieuw-Zeeland
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
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/
De Grab-it Robot arm is geproduceerd in een speciaal solide model. Het frame van de arm bestaat uit zeer solide, zwart geanodiseerd aluminium. Inbegrepen bij de levering zijn 6 PWN gestuurde servo motoren, die zijn geconstrueerd voor een druk van 20 kg/cm. Er is dus een groot gebruiksbereik en voldoende krachtreserves voor uw projecten. Het drukbereik van de precisieklauw is aangepast aan de arm en in staat om onder dezelfde druk te werken. De arm wordt geleverd met een roterende plaat (360°) waarop hij moet worden gemonteerd. De roterende plaat zal worden bevestigd op een grondplaat van 28,5 x 16 cm. Er zijn al boringen voor alle gangbare single-board computers en ontwikkelborden (Raspberry Pi, Banana Pi, Arduino,…). Voor een gemakkelijke en nauwkeurige besturing raden wij MotorPi (voor Raspberry Pi) of Motorino (voor Arduino) aan. Highlights &; Details Materiaal: robuust aluminium, zwart geanodiseerd inclusief 6 stuks 20 kg/cm PWM/servomotoren Voltagebereik 5 tot 7,4 V DC Metalen tandwieloverbrenging incl. bodemplaat met boringen voor alle gangbare single-board computers en ontwikkelborden incl. hoogwaardige precisieklauw Motoren 21,5 kg/cm koppel bij 7,4V5V-7,4 V DC spanning360° mechanische hoek, 180° werkbereikmetalen tandwielaanstuurbaar via PWMstroomopname 5 mA tot 2 A (per motor) Motor Frame Aluminium profiel Afmetingen Basisplaat 28,5 x 16 cmHoogte: afhankelijk van de positie van de arm, tot 42 cm Hoogte Bereik Bijna 30 cm vanaf het midden van de roterende plaat Basisplaat 4,5 mm acrylaat met bevestigingsmogelijkheid voor Raspberry Pi A+/B+/2/3, CubieBoard, Arduino Mega, Banana Pi M2, pcDuino en nog veel meer.Openingen met afstandhouders voor bevestiging aan een grondplaat Componenten Componenten Robot arm in enkelstuks incl. rotatie-plaat, klauw, basis-plaat en bevestigings-materiaal, 6 motoren Aanbevolen accessoires MotoPi (motorbesturing voor Raspberry Pi)Motorino (motorbesturing voor Arduino)
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.
Heeft u een eenvoudige AI-camera nodig om uw projecten te verbeteren? Het intuïtieve ontwerp van de HuskyLens AI-camera stelt de gebruiker in staat om verschillende aspecten van de camera te bedienen door gewoon op knoppen te drukken. U kunt het leren van nieuwe objecten starten en stoppen en zelfs schakelen tussen algoritmes vanaf het apparaat.Om de noodzaak van aansluiting op een pc verder te verminderen, wordt de HuskyLens AI Camera geleverd met een 2-inch display, zodat u in realtime kunt zien wat er gaande is.Specificaties
Processor: Kendryte K210
Beeldsensor: OV2640 (2.0 Megapixel Camera)
Voedingsspanning: 3,3~5,0 V
Stroomverbruik (TYP): 320 mA bij 3,3 V, 230 mA bij 5,0 V (gezichtsherkenningsmodus; 80% helderheid achtergrondverlichting; vullicht uit)
Aansluitingsinterface: UART, I²C
Display: 2,0-inch IPS-scherm met 320x240 resolutie
Ingebouwde algoritmen: Gezichtsherkenning, Object Tracking, Object Recognition, Line Tracking, Kleurherkenning, Tag Recognition
Afmeting: 52 mm x 44,5 mm / 2.05 x 1.75 inch
Werkingssfeer van de levering
HuskyLens moederbord x1
M3 Schroeven x6
M3 Moeren x6
Kleine montagebeugel x1
Verhoogingsbeugel x1
Zwaartekracht 4-Pin Sensor Kabel x1
Silicone Hoesje
Met het project uit deze kit stuur je de 6 servos van de robotarm aan met slechts zeer beperkt gebruik van MCU capaciteit, waardoor de Raspberry Pi Pico's MCU nog gemakkelijk andere taken aankan. Deze robotarm met 6 DOF* is een prima tool om robotica én Raspberry Pi Pico te leren programmeren en gebruiken. Leerzaam, maar vooral leuk! Inbegrepen in de kit zijn 5 MG996 (4 nodig in de assemblage en 1 als reserve) en 3 25-kg-servo's (2 nodig in de assemblage en 1 als reserve). Merk op dat voor de servo's de hoekschikking 0°~180° alle servo's vooraf moeten worden ingesteld op 90 graden vóór de assemblage om servoschade tijdens de beweging te voorkomen.Dit product bevat alle benodigde onderdelen om deze op Raspberry Pi Pico en MicroPython gebaseerde robotarm te maken.Het pakket bevat
1x Raspberry Pi Pico
1x Raspberry Pi Pico Servo Driver
1x De complete set '6 DOF Robot Arm'
1x 5 V/5 A Power Supply
2x Backup Servo (zie tekst)
Downloads
GitHub
Wiki
Assembly Guide
Assembly Video
*Een 'vrijheidsgraad' (DoF) met betrekking tot robotarmen is een onafhankelijk gewricht dat de arm vrij kan laten bewegen, hetzij in roterende, hetzij in translerende (lineaire) zin. Voor elke geometrische as waar een gewricht omheen kan draaien of zich langs kan uitstrekken, wordt dit geteld als één Degree of Freedom.
World’s Most Popular ROS PlatformTurtleBot 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 CostTurtleBot 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 SizeThe 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 StandardThe 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.ExtensibilityTurtleBot3 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 RobotTurtleBot3 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 ROSThe 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 LineupsTurtleBot3 Burger uses enhanced 360° LiDAR, 9-Axis Inertial Measurement Unit and precise encoder for your research and development.Open SourceThe 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
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
De volgende evolutie van de Tinkerkit Braccio-robot, Arduino Braccio ++ is een robotarm die binnen 'Arduino Education' ontworpen is voor het hoger onderwijs als technische scholen en universitaire technologie-instituten. Uiteraard kan de nieuwe Braccio ook gebruikt worden door gevorderde middelbare scholieren en studenten die wetenschappen, industriële wetenschap of technologie studeren. De Braccio ++ is volledig geoptimaliseerd en kan op verschillende manieren worden gemonteerd voor meerdere taken, zoals het verplaatsen van objecten, het monteren van een camera en het volgen van uw bewegingen, of het bevestigen van een zonnepaneel en het volgen van de beweging van de zon. De toepassingen zijn bijna onbeperkt. Studenten leren toepassingen van natuurkundige concepten in het echte leven door een voorwerp op te tillen, te plaatsen en te draaien. Deze concepten omvatten bewegingen, krachten, koppel, overbrengingsverhoudingen, stabiliteit en het gewicht van de nuttige last. De Braccio ++ heeft een nieuwe Braccio Carrier met LCD-scherm en nieuwe RS485-servomotoren. Downloads Braccio Carrier
World’s Most Popular ROS PlatformTurtleBot 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 CostTurtleBot 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.ROS StandardThe 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.ExtensibilityTurtleBot3 encourages users to customize its mechanical structure with some alternative options: open source embedded board (as a control board), computer and sensors. TurtleBot3 Waffle Pi 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 RobotTurtleBot3 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 ROSThe 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.Open SourceThe 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
0.26 m/s
Maximum rotational velocity
1.82 rad/s (104.27 deg/s)
Maximum payload
30 kg
Size (L x W x H)
281 x 306 x 141 mm
Weight (+ SBC + Battery + Sensors)
1.8 kg
Threshold of climbing
10 mm or lower
Expected operating time
2h
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)
Remote Controller
RC-100B + BT-410 Set (Bluetooth 4, BLE)
Actuator
XL430-W210
LDS (Laser Distance Sensor)
360 Laser Distance Sensor LDS-01 or LDS-02
Camera
Raspberry Pi Camera Module v2.1
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
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
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: Go1 Air, Go1 Pro, Go1 EduThe 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.Air vs Pro vs Edu
Go1 Air
Go1 Pro
Go1 Edu
SSS 1 Super-sensing system
1 set
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)
2 Nano + (1 Nano or 1 NX)
ISS 1 Intelligent Concomitant
✓
✓
✓
RTT 1 Pictures Transaction
✓
✓
✓
Charger
24 V, 4 V
24 V, 6 V
24 V, 6 V
Remote Control
✓
✓
✓
Load
≈3 kg
≈3 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)
Battery
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
Included
1x Unitree Go1
1x Unitree Go1 Battery
1x Unitree Go1 Charger
1x Unitree Go1 Remote Controller
Downloads
User Manual
GitHub
TurtleBot 4 is the next-generation of the world’s most popular open source robotics platform for education and research, offering better computing power, better sensors and a world class user experience at an affordable price point.TurtleBot 4 Lite is equipped with an iRobot Create 3 mobile base, a powerful Raspberry Pi 4 running ROS 2, OAK-D spatial AI stereo camera, 2D LiDAR and more. All components have been seamlessly integrated to deliver an out-of-the-box development and learning platform.Specifications
Base platform
iRobot Create 3
Wheels (Diameter)
72 mm
Ground Clearance
4.5 mm
On-board Computer
Raspberry Pi 4 (4 GB)
Maximum linear velocity
0.31 m/s in safe mode0.46 m/s without safe mode
Maximum angular velocity
1.90 rad/s
Maximum payload
9 kg
Operation time
2h 30m – 4h depending on load
Charging time
2h 30m
Lidar
RPLIDAR A1M8
Camera
OAK-D-Lite
User Power
VBAT @1.9 A5 V @ Low current3.3 V @ Low current
USB Expansion
2x USB 2.0 (Type A)2x USB 3.0 (Type A)
Programmable LEDs
Create 3 Lightring
Buttons and Switches
2x Create 3 User buttons1x Create 3 Power Button
Battery
26 Wh Lithium Ion (14.4 V nominal)
Charging Dock
Included
Size (L x W x H)
342 x 339 x 192 mm
Weight
3.3 kg
DownloadsUser Manual
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: Go1 Air, Go1 Pro, Go1 EduThe 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 (4x1.43 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.Air vs Pro vs Edu
Go1 Air
Go1 Pro
Go1 Edu
SSS 1 Super-sensing system
1 set
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)
2 Nano + (1 Nano or 1 NX)
ISS 1 Intelligent Concomitant
✓
✓
✓
RTT 1 Pictures Transaction
✓
✓
✓
Charger
24 V, 4 V
24 V, 6 V
24 V, 6 V
Remote Control
✓
✓
✓
Load
≈3 kg
≈3 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)
Battery
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
Included
1x Unitree Go1
1x Unitree Go1 Battery
1x Unitree Go1 Charger
1x Unitree Go1 Remote Controller
Downloads
User Manual
GitHub
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: Go1 Air, Go1 Pro, Go1 EduThe 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.Air vs Pro vs Edu
Go1 Air
Go1 Pro
Go1 Edu
SSS 1 Super-sensing system
1 set
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)
2 Nano + (1 Nano or 1 NX)
ISS 1 Intelligent Concomitant
✓
✓
✓
RTT 1 Pictures Transaction
✓
✓
✓
Charger
24 V, 4 V
24 V, 6 V
24 V, 6 V
Remote Control
✓
✓
✓
Load
≈3 kg
≈3 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)
Battery
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
Included
1x Unitree Go1
1x Unitree Go1 Battery
1x Unitree Go1 Charger
1x Unitree Go1 Remote Controller
Downloads
User Manual
GitHub
Cytron Maker Pi RP2040 is voorzien van de eerste microcontroller ontworpen door Raspberry Pi - RP2040, ingebed op een robot controller bord. Dit bord wordt geleverd met dual channel DC motor driver, 4 servo motor poorten en 7 Grove I / O-connectoren, klaar voor uw volgende DIY robot / motion control project. Nu kunt u bouwen robot, terwijl het uitproberen van de nieuwe RP2040 chip.De DC motor driver kan 2x geborstelde DC motoren of 1x bipolaire/unipolaire stappenmotor aansturen van 3.6 V tot 6 V, en levert continu tot 1 A stroom per kanaal. Met de ingebouwde sneltestknoppen en motoruitgangs-LED's kan de motor driver op een snelle en handige manier functioneel worden getest, zonder dat code hoeft te worden geschreven. Vmotor voor zowel DC- als servomotoren is afhankelijk van de ingangsspanning die aan het bord wordt geleverd.De Maker Pi RP2040 heeft al het goede van de producten uit de Maker-serie van Cytron. Het heeft ook veel LED's nuttig voor het oplossen van problemen (& visuele effecten), is in staat om heel wat lawaai te maken met de onboard piëzo zoemer en wordt geleverd met drukknoppen klaar om uw aanraking te detecteren.Er zijn drie manieren om de Maker Pi RP2040 van stroom te voorzien - via een USB-aansluiting (5 V), met een eencellige LiPo/Li-Ion-batterij of via de VIN-aansluitingen (3,6-6 V). Er is echter maar één stroombron nodig om zowel het controllerbord als de motoren tegelijk van stroom te voorzien. De voeding van al deze stroombronnen kan worden geregeld met de aan/uit-schakelaar aan boord.Cytron Maker Pi RP2040 is in principe de Raspberry Pi Pico + Maker series 'goedheid + Robot controller & andere nuttige functies. Daarom is dit bord compatibel met het bestaande Pico ecosysteem. Software, firmware, bibliotheken en hulpmiddelen die zijn ontwikkeld voor Pico zouden ook naadloos moeten werken met Cytron Maker Pi RP2040.CircuitPython is vooraf geladen op de Maker Pi RP2040 en het draait een eenvoudig demoprogramma direct uit de doos. Sluit hem aan op uw computer via een USB-microkabel en zet hem aan. U wordt begroet door een melodietje en een LED-lampje. Druk op de GP20- en GP21-drukknoppen om de LED's aan en uit te zetten, terwijl u de aangesloten DC- en servomotoren laat bewegen en stoppen. Met deze democode kunt u het bord meteen testen zodra u het ontvangt! Terwijl aangesloten op uw computer, verschijnt een nieuw CIRCUITPY station. Verken en bewerk de demo code (code.py & lib folder) met elke code editor die u wilt, sla eventuele wijzigingen op in de drive en u zult het in actie zien in een mum van tijd. Dat is waarom wij CircuitPython omarmen - het is heel gemakkelijk om te beginnen. Wilt u andere programmeertaal gebruiken? Natuurlijk, u bent vrij om MicroPython en C/C++ te gebruiken voor de Pico/RP2040. Voor degenen onder u die houdt van het Arduino ecosysteem, neem dan een kijkje op deze officieel nieuws door Arduino en ook de onofficiële Pico Arduino Core door Earle F. Philhower.Features
Gedreven door Rapberry Pi RP2040
Dual-core Arm Cortex-M0+ processor
264 KB intern RAM
2 MB Flash-geheugen
dezelfde specificaties als Raspberry Pi Pico
Robot controller bord
4x servomotoren
2x DC-motoren met sneltestknoppen
Veranderlijk stroomcircuit
Automatische voedingskeuze: USB 5 V, LiPo (1-cel) of Vin (3,6-6 V)
Ingebouwde 1-cel LiPo/Li-Ion lader (over-charged & over-discharged bescherming)
Aan/uit schakelaar
13x Status indicator LEDs voor GPIO pinnen
1x Piëzo zoemer met mute-schakelaar
2x drukknop
2x RGB LED (Neopixel)
7x Grove poorten (flexibele I/O opties: digitaal, analoog, I²C, SPI, UART...)
Voorgeïnstalleerd met CircuitPython standaard
Gaten frezen
4x 4,8 mm montagegat (LEGO pin compatibel)
6x M3 schroefgat
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
Kenmerken: Ondersteunt motorspanning van 4 V tot 16 V DC Tweerichtingsbesturing voor twee borstel gelijkstroommotoren Bestuurt één unipolaire of één bipolaire stappenmotor Maximale motorstroom: 3A continu, 5A piek LED's voor de toestand van de motoruitgang Knoppen voor snel testen Compatibel met Arduino en Raspberry Pi PWM frequentie tot 20kHz Bescherming tegen omgekeerde polariteit Hier kun je het datasheet van het product vinden. Bekijk de voorbeeldcode van Cytron hier.
De SparkFun JetBot AI Kit V2.1 is een geweldige basis voor het maken van nieuwe AI projecten voor iedereen die geïnteresseerd is in het leren van AI en het bouwen van leuke applicaties. Het is eenvoudig op te zetten en te gebruiken en is compatibel met veel populaire accessoires.Interactieve tutorials laten je zien hoe je de kracht van AI kunt gebruiken om de SparkFun JetBot te leren objecten te volgen, botsingen te vermijden, en meer. De Jetson Nano Developer Kit (niet inbegrepen in deze kit) biedt handige tools zoals de Jetson GPIO Python bibliotheek en is geschikt voor standaard sensoren en randapparatuur; inclusief een aantal nieuwe uit het SparkFun Qwiic Ecosystem.Daarnaast wordt de meegeleverde image voorzien van de geavanceerde functionaliteit van JetBot ROS (Robot Operating System) en AWS RoboMaker Ready met AWS IoT Greengrass al geïnstalleerd. SparkFun's JetBot AI Kit is de enige kit die momenteel op de markt is die verder gaat dan de standaard JetBot voorbeelden en in de wereld van connected, intelligente robotica te stappen.De kit bevat alles wat je nodig hebt om met JetBot aan de slag te gaan, behalve een kruiskopschroevendraaier en een Ubuntu desktop GUI. Houd er wel rekening mee dat de mogelijkheid om meerdere neurale netwerken parallel te laten werken alleen mogelijk is met een volledige 5V-4A power supply.Features
SparkFun Qwiic ecosystem for I2C communication
Het ecosystem kan uitgebreid worden met 4x Qwiic connectors
Voorbeeld-applicaties voor Basic Motion, Teleoperation, Collision avoidance, & Object Following
Compacte uitvoering om bestaand neuraal netwerk van NVIDIA te optimaliseren
136° FOV camera for machine vision
Pre-flashed MicroSD card
Chassis biedt mogelijkheden tot uitbreiden
Inclusief
64GB MicroSD card - pre-flashed SparkFun JetBot image:
Nvidia Jetbot base image met geïnstalleerd: 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)
Alle hardware & prototyping elektronica die nodig is om uw volledig functionele robot te voltooien!
BenodigdNVIDIA Jetson Nano Developer KitHier kunt u de door SparkFun verstrekte montagehandleiding vinden!