MSc Advanced Robotics & AI  ·  Queensland University of Technology

Mechatronics
& Robotics
Engineer

Building intelligent robotic systems — from real-time teleoperation
and computer vision to embedded control and industrial automation.

Who I Am

I'm Adithya Vimukthi, a Mechatronics Engineer currently pursuing a Master's in Advanced Robotics and Artificial Intelligence at Queensland University of Technology (QUT), Brisbane.

My work sits at the intersection of robotics, computer vision, and intelligent control — from developing real-time motion tracking systems for human-robot interaction to designing embedded automation solutions for industrial environments. I have hands-on experience across the full stack: kinematics, control theory (LQR, MPC), ROS, Python/C++, and embedded hardware.

I have contributed to published research on teleoperation, worked as an engineering trainee in manufacturing automation, and built systems that bridge academic research with real-world constraints.

Download CV
3 +

Years Engineering Experience

8 +

Robotics Projects

1

Peer-Reviewed Publication

2

Industry Roles

Education & Work

Education

Feb 2025 — Present

Master of Advanced Robotics & AI

Queensland University of Technology (QUT)

Brisbane, Australia

Sep 2019 — Nov 2023

BSc Mechatronics Engineering

Sri Lanka Technological Campus

Second Class Upper Division

  • Real-time upper body motion tracking for robotic teleoperation (BSc thesis)
  • Robot manipulator on Raspberry Pi 4 mirroring human arm movements
  • Published research at MERCon 2023

Work

Mar 2024 — Nov 2024

Engineering Trainee

Twinery, Innovation by MAS

  • Designed and built full automation solution with HMI for 4-mode overlock machine
  • Planned, designed, and tested electronic circuits and mechanical prototypes
  • CAD modelling in SolidWorks; CNC laser cutting and fabrication
  • Supported IoT-based remote monitoring and control projects
Feb 2023 — Aug 2023

Engineering Trainee

Ansell Lanka (Pvt) Ltd

  • Developed machine vision systems for automated product inspection
  • Programmed PLC-based automation for production and material handling
  • Implemented AOI algorithms for real-time surface defect detection
  • Supported semi-automation of irradiator material handling equipment

Technical Stack

Robotics & Control

  • Robot Kinematics
  • LQR / MPC
  • Motion Planning
  • Visual Odometry
  • ROS
  • Teleoperation
  • Servo Control
  • Sensor Fusion

Computer Vision & AI

  • OpenCV
  • MediaPipe
  • PyTorch
  • Machine Learning
  • Deep Learning
  • NumPy
  • Pose Estimation
  • AOI Inspection

Programming

  • Python
  • C++
  • MATLAB / Simulink
  • Git
  • Linux
  • PLC Programming

Embedded & Hardware

  • Raspberry Pi
  • Arduino
  • ESP32
  • PCB Design
  • Sensor Integration
  • HMI Design
  • SolidWorks / CAD
  • 3D Printing

Selected Work

Real machines, real production — from industrial automation to vision-controlled robots.

2024

Vision-Based Follow Cart Robot

Autonomous mobile robot that follows a user using computer vision. Implements person tracking, navigation, and motion control — designed to carry tools or equipment in real-world environments.

  • Computer Vision
  • Mobile Robot
  • Tracking
2023

AOI Product Defect Detection

Automated Optical Inspection system for detecting surface defects on a live production line using image processing and ML classification. Eliminated manual inspection errors.

  • AOI
  • Computer Vision
  • Python
  • OpenCV
2024

Overlock Machine Automation

Full 4-mode automation solution for an industrial overlock machine — HMI interface, control system architecture, circuit design, mechanical prototyping, and end-to-end testing.

  • Automation
  • HMI
  • Control Systems
  • SolidWorks
2024

Polybag Sticker Pasting Machine

Fully automated machine for precise sticker application on polybags. Sensor-based detection and control logic for accurate positioning and high throughput in a production environment.

  • Automation
  • Sensors
  • Production
  • Mechanical

Research

MERCon 2023 2023 IEEE Xplore

Real-Time Upper Body Motion Tracking Using Computer Vision for Improved Human-Robot Interaction and Teleoperation

N. A. S. N. Nandasena, W. A. A. Vimukthi, H. M. K. K. M. B. Herath, R. Wijesinghe, S. L. P. Yasakethu

2023 Moratuwa Engineering Research Conference (MERCon), Moratuwa, Sri Lanka

  • Human-Robot Interaction
  • Computer Vision
  • Teleoperation
  • Motion Tracking

Continuous Learning

Get In Touch

Open to research collaborations, graduate roles, and robotics engineering projects.
Based in Brisbane, Australia — feel free to reach out.