Learn how to assemble the Quarky Robotic Arm with this step-by-step guide. Follow the steps to make the Quarky Robotic Arm look like the image shown in this guide, and use it to explore more complicated programs and activities.
Quarky Robotic Arm - Documentation
Getting Started with Quarky Robotic Arm
Refer to the tutorials to learn about the Robotic Arm, and how to assemble and program it in Block coding or Python coding.
Quarky Robotic Arm Project - Block Coding
Refer to the tutorials to learn how to use PictoBlox Block Coding Environment to code Quarky Robotic Arm for different applications.
This project demonstrates how to use Machine Learning Environment to make a machine–learning model that identifies the hand gestures and makes the Mars Rover move accordingly.
Learn to control Mecanum Pick and Place Robot using Dabble App on your device with customized functions for different motions and activities.
Learn to control Mecanum Pick and Place Robot using Dabble App on your device with customized functions for specialized motions using the Python Interface of the Pictoblox Software.
The example shows how to use a hand pose classifier in PictoBlox to make the Sign Classifier Bot.
Explore the capabilities of a sign detector robotic arm that can recognize and understand signs or signals in its surroundings.
Discover how gesture-controlled grippers are transforming human-robot interactions.
Discover how gesture-controlled grippers are transforming human-robot interactions.
This project uses face recognition and an IR sensor to identify and authenticate authorized people and open the door accordingly. Learn how to create this system with Python code and hardware.
Learn how oscillators are utilized to create seamless movements in Quadruped robots.
Learn how to use Pose Classifier, an extension of ML Environment. Follow the step-by-step tutorial on using image classifier in block coding.
Learn how to create custom sounds to control Quadruped with the Audio Classifier of the Machine Learning Environment in PictoBlox.
The example shows how to use a audio classifier in PictoBlox to make the Bird Audio Classifier Bot.
Learn about potentiometers, their working principle, and applications as variable resistors or voltage dividers.
Learn how to interface an 8×8 LED dot matrix with an Arduino Uno board. Follow our step-by-step guide to set up the circuit diagram and implement the code
This project demonstrates how to interface an RFID sensor with a Quarky to control the door of an IoT-enabled house using an authorized RFID tag.
This project demonstrates how to interface an RFID sensor with a Quarky to control the door of an IoT-enabled house using an authorized RFID tag. Learn how to write the code for RFID authentication and see the circuit diagram for connecting the RFID sensor to the Quarky board.
Learn how to create custom sounds to control Humanoid with the Audio Classifier of the Machine Learning Environment in PictoBlox.
The example shows how to use a text classifier in PictoBlox to make the Twitter Sentiment Analysis Bot using Text Classifier.
In this example, we are going to learn how to program the Quarky to detect the ambient light reading and make the light turn ON and OFF accordingly.
Learn how to program Quarky to detect the ambient light reading and make the light turn ON and OFF accordingly.
This example shows you how to use the flame sensor to detect heat or flame nearby, and then how to create an alarm system that is triggered by the flame sensor.
Learn how to set up a flame sensor with Quarky, calibrate it, and create a fire alarm system with a motor fan, door servo motor, and IFTTT webhooks. Get step-by-step instructions, circuit diagrams, python code, and more.
The example shows how to use a number classifier in PictoBlox to make the customer spending money classifier bot.
This project demonstrates how to create a voice-controlled smart plug using natural language processing (NLP), speech recognition, and a relay.
Learn how to create a dataset and Machine Learning Model for an automated game from the user’s input. See how to open the ML environment, upload data, label images, train the model, and export the Python script.
In this example, we will look into the basics of a Drip Irrigation System using the IoT House. With IoT House, you get 2 plant drip irrigation raw equipment.
Learn how to assemble a Drip Irrigation System using the IoT House. This tutorial covers the assembly, circuit, and Python code for 1 or 2 plants. Also, find out how to calibrate the flow of water with the loosening and tightening of the emitter.
Learn how to create a dataset and Machine Learning Model for an automated shark attack game from the user’s input. See how to open the ML environment, upload data, label images, train the model, and export the Python script.
This example demonstrates how to use the Soil Moisture sensor to detect the moisture in the soil and water the plant using the drip system. The system will water the plant when the moisture of the soil is low.
Automate watering your plants using PictoBlox and Python with the help of the Soil Moisture sensor and the IoT House Quarky Addon Kit. Learn how to assemble the drip irrigation system, set up the circuit, and write Python code to control it.
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PictoBlox Extension Documentation
Refer to the documentation of PictoBlox Extension to understand how to use the blocks and functions for the Robotic Arm.