https://github.com/omarkhaledaw/uni

This contains all files and resources for the projects I've done as a Mechatronics and Robotics engineering student at the Egyptian Russian University (ERU)
https://github.com/omarkhaledaw/uni

arduino arduino-uno coppeliasim cpp cprogramming cprogramming-language embedded embedded-c embedded-systems matlab mechatronics mechatronics-engineering nodemcu-esp8266 raspberry-pi raspberry-pi-3 robotics simulation simulink solidworks vrep

Last synced: 5 days ago
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This contains all files and resources for the projects I've done as a Mechatronics and Robotics engineering student at the Egyptian Russian University (ERU)

• Host: GitHub
• URL: https://github.com/omarkhaledaw/uni
• Owner: Omarkhaledaw
• Created: 2023-09-03T11:39:54.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-03T12:28:23.000Z (about 1 year ago)
• Last Synced: 2024-10-18T04:44:14.218Z (25 days ago)
• Topics: arduino, arduino-uno, coppeliasim, cpp, cprogramming, cprogramming-language, embedded, embedded-c, embedded-systems, matlab, mechatronics, mechatronics-engineering, nodemcu-esp8266, raspberry-pi, raspberry-pi-3, robotics, simulation, simulink, solidworks, vrep
• Language: Python
• Homepage:
• Size: 24.7 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Uni_Projects

## Arduino_Based_Maze_Solving_Robot

I was the leader in the group project that involves using Arduino uno to turn a 4 wheeled robot into a maze-solver robot that uses 3 ultrasonic sensors to determine if there's an obstacle on left, right or front of it.

The original robot uses 4 DC motors to move and with the help of L293D (H-bridge).

## Obstacle_avoidance_on_inclined_plane_Robot

This was a contest to make the fastest robot to reach the top of the inclined plane while avoiding all obstacles too. 

My team won the competition.

## Pick_and_place_robot_simulation_using_Coppeliasim

This project was carried out by using coppeliasim to create a full pick and place scene using 2 arm robots, this was controlled and tested by two methods. The first one was using the coppeliasim itself and the second by using Jupyter Notebook (VREP) and Python programming language.

## See_Speak_using_Raspberry-pi

The project was done by using a Raspberry pi 3 module B and a Raspberry pi camera module V3, also a set of speakers to capture a picture, analyze and identify texts in it, convert it into a text file and then finally read the text out loud.