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. 

Robotic Arm V6
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 Project - Block Coding

Refer to the tutorials to learn how to use PictoBlox Block Coding Environment to code Quarky Robotic Arm for different applications

Learn about face-tracking, and how to code a face-tracking Quadruped robot using sensors and computer vision techniques.
Convert any word or phrase into a delightful sequence of emojis with our Emoji Converter.
Welcome to the Noun Detector, a powerful tool that utilizes ChatGPT and the spaCy library to identify and extract nouns from text.
Expand your vocabulary and enhance your writing with the Synonyms and Antonyms Word Converter.
Discover how a robotic arm playing chess showcases the synergy between robots and AI.
Discover the versatility and benefits of automatic robotic arms in various industries.
Discover the power of Pulse Width Modulation (PWM) in Arduino, enabling voltage control and pulse width adjustment.
Learn about servo motors and interface it with Arduino , servo control with ardunio
The examples show how to use pose recognition in PictoBlox to maintain a yoga pose for a particular time interval.
Learn how to interface an MQ sensor with Quarky to detect the presence of gases like alcohol.
In this example, we look at how to establish and see if the Wi-Fi is connected to Quarky or not.
Explore the power of machine learning in recognizing hand gestures and controlling the movements of a Quadruped robot.
Learn how to create a switch on Adafruit IO with Python code and an IoT-enabled Smart Plug. This project demonstrates how to control a plug and retrieve information from the cloud with the help of a Quarky Expansion Board, Adafruit IO, and an IoT house.
Learn how to create a crawling motion with a quadruped robot using individual servo control.
Explore the surroundings with our obstacle avoidance Mars Rover that uses an ultrasonic sensor to detect and avoid obstacles. Learn how the robot moves, detects obstacles, and navigates its way through them.
Learn how to set the bounding box threshold, and detect signals such as ‘Go’, ‘TurnRight’, ‘TurnLeft’, and ‘Stop’ to control humanoid movements.
Learn how to use the Hand Gesture Classifier of the Machine Learning Environment to make a machine-learning model that identifies hand gestures and makes the Mars Rover move accordingly.
Discover the exciting world of face-tracking robots and learn how to code one using sensors and algorithms.
In this activity, learn how to create a new Machine Learning model that will be able to identify and detect different types of hand poses and that can help us to control the Mecanum Gripper Robot.
In this activity, learn how to create a new Machine Learning model that will be able to identify and detect different types of hand poses and that can help us to control the Mecanum Gripper Robot.
Learn how to create a crawling motion with a quadruped robot using individual servo control.
Learn how to set the bounding box threshold, and detect signals such as ‘Go’, ‘TurnRight’, ‘TurnLeft’, and ‘Stop’ to control quadruped movements.
Engage in interactive conversations with the AI assistant powered by ChatGPT and Sprite Tobi.
The examples show how to use pose recognition in PictoBlox to make jumping jack counter.
Explore the functionality of a raindrop sensor, an analog-type sensor that detects changes in resistance upon contact with water.
Learn how to interface a relay with Quarky, the versatile microcontroller, to control high-voltage appliances using electromagnetic induction.
Learn how to connect your Quarky to a WiFi network and troubleshoot any connection issues. Follow the guide to ensure a successful connection.
The project demonstrates how to interface the gas sensor to the Quarky and get the PPM reading. Later, we will create an air pollution monitoring system on Adafruit IO.
Learn to demonstrate how to use ML Environment to make a model that identifies the hand gestures and makes the humanoid move accordingly.
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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.