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Color-Based Pick and Place Sorting System Using Niryo Ned 2

Note:
This is the second video, recorded from a side-angle perspective, to provide an alternate view of the system's operation.


Project Overview:
This academic project showcases a working pick and place sorting system developed with the Niryo Ned 2 collaborative robotic arm. The system is capable of identifying and sorting items based on defined characteristics such as color or shape. It incorporates essential principles of intelligent robotics, including automation workflow and robotic arm programming.

Course Module:
Intelligent Robotics

Master Program:
Artificial Intelligence and Robotics
Summer Semester 2025
Hof University of Applied Sciences, Germany

Team Members:
Rahul Molla
Harsh Virani
Shruti Arora

Project Completion Date:
16 June 2025



Learning Objectives:

Acquire practical skills in robotic system integration

Implement pick and place operations using Python

Translate theoretical knowledge into a functional robotics solution

Tools & Technologies Used:

Niryo Ned 2

Niryo Studio

Python


Disclaimer:
This video is part of an academic project completed at Hof University of Applied Sciences. It is intended solely for educational purposes and does not serve any commercial objective.

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