ejustroboticsclub/MATE-ROV-2025
Mar 2025 – Apr 2025
2 Months active
Languages Used
Python
Technical Skills
Code RefactoringControl SystemsData VisualizationDocumentationEmbedded SystemsPID Control
Hatem-707
PROFILE
Hatem-707
Contributed to the ejustroboticsclub/MATE-ROV-2025 repository by developing core robotics features focused on motion control, calibration, and real-time data visualization. Built a Python-based ROV motion control system using PID controllers for six degrees of freedom, integrating sensor data, kinematics, and a seventh thruster for enhanced maneuverability. Designed a non-blocking live data plotter to visualize system variables efficiently, reducing CPU load and improving responsiveness. Delivered a calibration and live plotting suite with IMU data processing, joystick integration, and a manual calibration GUI, standardizing data pipelines and enabling field calibration. Emphasized code refactoring, documentation, and test-driven development throughout the process.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
3
Lines of code
1,762
Activity Months2
Your Network
14 peopleShared Repositories
14
Work History
April 2025
7 Commits • 1 Features
Apr 1, 2025April 2025 impact summary for ejustroboticsclub/MATE-ROV-2025: Delivered a comprehensive ROV Calibration and Live Plotting Suite that enhances calibration reliability, data visualization, and operator control. The work standardizes data pipelines and accelerates tuning by providing real-time IMU processing, interactive calibration tools, and a streamlined interface for control value settings. This reduces downtime during calibration, improves data quality, and supports safer, more repeatable ROV operations.
7 Commits • 1 Features
Apr 1, 2025April 2025 impact summary for ejustroboticsclub/MATE-ROV-2025: Delivered a comprehensive ROV Calibration and Live Plotting Suite that enhances calibration reliability, data visualization, and operator control. The work standardizes data pipelines and accelerates tuning by providing real-time IMU processing, interactive calibration tools, and a streamlined interface for control value settings. This reduces downtime during calibration, improves data quality, and supports safer, more repeatable ROV operations.
April 2025
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025 (Month: 2025-03) performance summary for ejustroboticsclub/MATE-ROV-2025: Delivered two core capabilities that directly drive safety, reliability, and rapid iteration. 1) ROV Motion Control System with PID Controllers and Thruster Integration: Python-based control for x, y, yaw, depth, roll, and pitch; sensor data handling; kinematics; parameter loading; seventh-thruster integration; documented movement feedback. 2) Real-Time Non-Blocking Live Data Plotter: non-blocking history plotting with initialization and update/draw routines; test coverage; refactor removing an internal plotting loop. Major bug fixes/stability: removed unnecessary functions from the plotting utility and streamlined the non-blocking plotter, enhancing responsiveness and reducing CPU load. Overall impact: improved maneuverability, safer operation, faster diagnostics, and easier iteration; better observability and code quality. Technologies/skills demonstrated: Python, PID control, real-time data handling, non-blocking architecture, sensor integration, kinematics, parameter loading, ROS-like pub/sub pattern, test-driven development, and documentation.
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025 (Month: 2025-03) performance summary for ejustroboticsclub/MATE-ROV-2025: Delivered two core capabilities that directly drive safety, reliability, and rapid iteration. 1) ROV Motion Control System with PID Controllers and Thruster Integration: Python-based control for x, y, yaw, depth, roll, and pitch; sensor data handling; kinematics; parameter loading; seventh-thruster integration; documented movement feedback. 2) Real-Time Non-Blocking Live Data Plotter: non-blocking history plotting with initialization and update/draw routines; test coverage; refactor removing an internal plotting loop. Major bug fixes/stability: removed unnecessary functions from the plotting utility and streamlined the non-blocking plotter, enhancing responsiveness and reducing CPU load. Overall impact: improved maneuverability, safer operation, faster diagnostics, and easier iteration; better observability and code quality. Technologies/skills demonstrated: Python, PID control, real-time data handling, non-blocking architecture, sensor integration, kinematics, parameter loading, ROS-like pub/sub pattern, test-driven development, and documentation.
Activity
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Quality Metrics
Correctness85.8%
Maintainability85.0%
Architecture84.2%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Code RefactoringControl SystemsData ProcessingData VisualizationDebuggingDocumentationEmbedded SystemsJoystick ControlPID ControlPygamePythonPython ScriptingROSROS2Real-time Data Processing
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