Omar Mohamed

Mechatronics Engineer | Robotics & AI Researcher

Passionate about developing robust, AI-driven robotics for autonomous navigation and manipulation. Currently pursuing Master's in Robotics and AI at Queensland University of Technology.

About Me

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I'm a Master's student in Robotics and AI at Queensland University of Technology with strong experience in robotic control systems, sensor fusion, and intelligent perception. My passion lies in developing robust, AI-driven robotics solutions for autonomous navigation and manipulation.

With hands-on experience in telerobotics, haptic feedback systems, and real-time computer vision, I bring both theoretical knowledge and practical implementation skills to complex robotics challenges.

I'm actively seeking entry-level or internship opportunities in robotics software development or embedded AI systems where I can contribute to cutting-edge robotics applications.

Programming

  • Python (Intermediate–Advanced)
  • MATLAB
  • C++ (Pre-Intermediate)

Robotics

  • ROS (Robot Operating System)
  • Robot Kinematics/Dynamics
  • Sensor Fusion
  • Haptic Feedback Systems

Control Systems

  • PID Control
  • Model Predictive Control (MPC)
  • Kalman Filters
  • Adaptive Control

AI/ML

  • Reinforcement Learning
  • Deep Learning
  • Computer Vision
  • Transformers

Featured Projects

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Wireless-Controlled Haptic Robotic Arm

Designed and developed a wireless-controlled, three-finger master-slave robotic arm with haptic feedback, enabling detection of object shape and hardness through tactile sensing.

Arduino Haptics Wireless Control Sensors
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Inverse Kinematics Solver for 6DOF Robot

Designed and implemented an inverse kinematics solver using the Levenberg–Marquardt optimization algorithm, handling redundancy and nonlinearity in joint configurations.

Python Robotics Toolbox Optimization Kinematics
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Adaptive Control with MRAC for Visual Servoing

Developed a Model Reference Adaptive Control system to improve trajectory tracking under sensor noise and dynamic disturbances for robotic visual servoing.

MATLAB Adaptive Control Visual Feedback Control Theory
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Kinect v2 Depth Estimation Study

Conducted comprehensive sensor fusion study on depth accuracy across various surface materials, with camera calibration and data-driven depth error correction models.

MATLAB Depth Sensors Calibration Sensor Fusion
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AI-Powered Attendance Monitoring System

Developed smart monitoring system for DF AUTOMATION company robots using OpenCV in Python, integrating computer vision for automated attendance tracking.

Python OpenCV Computer Vision AI

Experience & Education

Master of Robotics and AI

2024 - Current

Queensland University of Technology, Brisbane

Key Coursework: Kinematics, Dynamics, Mobile Robot Planning, ROS, Control Systems (MPC, Adaptive Control, Kalman Filters), Machine Learning & AI (Deep Learning, Transformers, Reinforcement Learning)

Trainee Production Engineer

June 2023 - September 2023

Jeddah Cable Company, Jeddah

Performed routine inspections of production equipment, conducted machine analysis to identify quality issues, and managed inventory levels for daily operations.

Bachelor of Engineering (Electrical - Mechatronics)

2018 - 2023

University of Technology Malaysia, Johor Bahru

Final Year Project: Developed a teleoperated robotic arm with haptic feedback and real-time object recognition.

Robotics Engineer

July 2022 - October 2022

University of Technology Malaysia, Johor Bahru

Developed and controlled a telerobotic arm with haptic feedback, integrated sensor fusion techniques for real-time processing, and researched force-feedback control in telerobotics.

Get In Touch

I'm actively seeking opportunities in robotics software development and embedded AI systems. Let's connect!

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Email

omaralbadry7572@gmail.com

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Location

Brisbane, QLD 4006

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LinkedIn

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