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Writer's pictureNeuroMaker STEM

Automatic Object Detection for Prosthesis

In this project, we will explore the integration of sensors and controls to enhance the functionality of a prosthetic hand. Specifically, we will learn how to use a button, rotary encoder, and an ultrasonic distance sensor to automatically program the NeuroMaker Hand to grasp objects when detected within a certain range. 


The rotary encoder will adjust the distance threshold at which the hand reacts to an object, allowing for customizable sensitivity. Additionally, a button will help to release the object from the hand’s grasp, providing manual control over the prosthetic’s operations. By the end of this project, we will have a deeper understanding of how sensors and actuators can work together in robotics to mimic human movements and responses.


This project combines practical skills in electronics and programming with theoretical knowledge in biomechanics and robotics. It's an excellent way  to see how real-world problems can be solved through STEM disciplines, specifically in the area of assistive technologies.



Project Duration:

90 Minutes 


Group:

2-3 students per team 


Necessary supplies:

  • NeuroMaker Hand (fully assembled)

  • Ultrasonic Distance Sensor (to detect objects)

  • Button (to manually release objects)

  • Rotary Encoder (to adjust object detection sensitivity)

  • Magnetic Sensor Board (to secure components)

  • Several Connection Cables (to interface sensors with the NeuroMaker Hand)


Pre-check items: 

  • Basic understanding of Block-Based Programming.

  • Fundamental concepts in robotics and electronics, particularly how sensors and actuators function.

  • Basic assembly skills for working with robotic kits such as the NeuroMaker Hand.


Learning Goals:

  • Program the NeuroMaker Hand to automatically detect and grasp objects using an ultrasonic distance sensor.

  • Adjust object detection sensitivity using a rotary encoder for customizable control.

  • Implement manual control of the prosthetic hand’s grip and release using a button.

  • Understand how sensors and actuators integrate in robotics to mimic human movements in assistive technologies.



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