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.
“Learn to control a Quarky robotic arm remotely using Bluetooth and PictoBlox. Perfect for tasks like picking and tool manipulation, this project boosts productivity and safety in hazardous environments. Step-by-step coding guides included for precise X, Y, Z-axis, and gripper control.”
This activity focuses on programming a robotic arm using Python in PictoBlox, showcasing Python’s power in AI and ML. You’ll learn to initialize the arm, define movement functions for X, Y, and Z axes, control the gripper, and implement real-time control using a loop. This hands-on project sets the stage for embedding AI and ML into the robotic arm in future activities. Let’s get started!
Learn how to make a robotic arm autonomous, moving beyond manual control to execute repetitive tasks efficiently. By following the coding steps in PictoBlox, you can program precise movements and actions, making it suitable for applications in industries like manufacturing and medical fields. With careful calibration and testing, you can successfully transform your robotic arm into an autonomous system, enhancing its functionality and versatility.
Learn how to program a robotic arm to operate autonomously using Python in Pictoblox. This activity guides you through initializing the robotic arm, writing movement and gripper actions, and using a continuous loop for independent operation. You’ll also explore the transition from stage mode to upload mode, allowing the robotic arm to function without an external system or Pictoblox connection. Ideal for robotics enthusiasts and learners, this guide will help you take full control of robotic arms in a simple, efficient way.
this activity introduces the integration of machine learning into robotics by developing a hand gesture recognition model in PictoBlox. Through systematic steps, you learn to train, test, and export the model to control a robotic arm using gestures. By combining gesture analysis with robotic arm settings, this project highlights the potential of machine learning in enabling intuitive and precise control in robotics, paving the way for innovative applications.
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.
In this example, we are going to learn how to control the flame sensor to detect flame and start the exit alarm sequence that includes opening the gate, alarm beeping, and fan turned ON.
Learn about AI-based face expression detection, a technology that uses artificial intelligence algorithms and computer vision techniques to analyze images or videos of human faces and recognize emotions or expressions.
Learn how to control the Mecanum using PictoBlox with keyboard inputs using Python. Make the Mecanum move forward, backward, turn left, and turn right along with unique lateral motions!
Learn to demonstrate how to use ML Environment to make a model that identifies the hand gestures and makes the Quadruped 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.