ejustroboticsclub/MATE-ROV-2025
Mar 2025 – May 2025
3 Months active
Languages Used
BashLaTeXPythonC++ShellYAML
Technical Skills
Code OrganizationDocument FormattingDocument GenerationRefactoringTechnical WritingBackend Development
Abdelrhman Shaheen
PROFILE
Abdelrhman Shaheen
Abdelrhman Shaheen contributed to the ejustroboticsclub/MATE-ROV-2025 repository by developing and refining control, visualization, and data management systems for an underwater robotics platform. He reorganized the codebase for maintainability, enhanced the ROV’s control fidelity through PID tuning, and improved operator interfaces using Python and PyQt5. His work included integrating live plotting, optimizing camera streams, and introducing simulation tools to support offline testing. By adding structured LaTeX documentation and visual data assets, he enabled robust reporting and future perception tasks. The depth of his contributions is reflected in the system’s improved responsiveness, stability, and readiness for further development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
27Total
Bugs
0
Commits
27
Features
9
Lines of code
16,814
Activity Months3
Your Network
15 peopleSame Organization
@ejust.edu.eg1
Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 delivered meaningful enhancements to the MATE-ROV-2025 project, focusing on control fidelity, operator usability, and data readiness for perception tasks. Key activities included tuning the ROV control system PID, refining joystick/input handling, updating motion scaling, configuring camera ports, and introducing a comprehensive set of visual data assets (frames/ and new_frames/). These changes integrate learnings from the recent competition, improving stability, responsiveness, and data availability for vision algorithms, while laying groundwork for next feature iterations. Final post-competition changes were consolidated and prepared for re-testing, with explicit validation against the prior baseline.
1 Commits • 1 Features
May 1, 2025May 2025 delivered meaningful enhancements to the MATE-ROV-2025 project, focusing on control fidelity, operator usability, and data readiness for perception tasks. Key activities included tuning the ROV control system PID, refining joystick/input handling, updating motion scaling, configuring camera ports, and introducing a comprehensive set of visual data assets (frames/ and new_frames/). These changes integrate learnings from the recent competition, improving stability, responsiveness, and data availability for vision algorithms, while laying groundwork for next feature iterations. Final post-competition changes were consolidated and prepared for re-testing, with explicit validation against the prior baseline.
May 2025
April 2025
20 Commits • 6 Features
Apr 1, 2025April 2025 monthly summary for ejustroboticsclub/MATE-ROV-2025: Delivered end-to-end platform improvements across control, visualization, camera management, data pipelines, and code quality. Key outcomes include improved ROV control responsiveness with rotation controls, pump integration, and a blackbox simulation/visualizer for offline testing; GUI/visualization now presents accurate orientation, depth/yaw indicators, STM status, and jellyfish indicators with corrected credentials and topic naming; enhanced camera management with fixed IPs, per-camera streams, and jellyfish camera controls; movement feedback improvements with live plotting and refined thruster voltage calculations; depth data optimization reducing payload via Float32; codebase cleanup and GUI refactor for maintainability. These changes reduce latency, improve operator situational awareness, and enable faster iteration on testbeds and deployments.
April 2025
20 Commits • 6 Features
Apr 1, 2025April 2025 monthly summary for ejustroboticsclub/MATE-ROV-2025: Delivered end-to-end platform improvements across control, visualization, camera management, data pipelines, and code quality. Key outcomes include improved ROV control responsiveness with rotation controls, pump integration, and a blackbox simulation/visualizer for offline testing; GUI/visualization now presents accurate orientation, depth/yaw indicators, STM status, and jellyfish indicators with corrected credentials and topic naming; enhanced camera management with fixed IPs, per-camera streams, and jellyfish camera controls; movement feedback improvements with live plotting and refined thruster voltage calculations; depth data optimization reducing payload via Float32; codebase cleanup and GUI refactor for maintainability. These changes reduce latency, improve operator situational awareness, and enable faster iteration on testbeds and deployments.
March 2025
6 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for ejustroboticsclub/MATE-ROV-2025 focused on improving project structure and documentation groundwork to enable faster feature development and more robust reporting. Key architectural improvements include: Rov-control and Live Plotter module reorganization to a dedicated rov-control directory with renamed and clarified file structure, plus a reorganized live-plotter module for better maintainability. Technical Report scaffolding and LaTeX enhancements were established, introducing a boilerplate setup, placeholder directories/files, and enhanced sectioning and formatting to streamline future documentation. Notable commits contributed to these efforts include: - Rov changes: 3413eea20e272369f9547c9e0b3b0fc7b9ccc651 (Added control files to their directory) and 1d157c35ec6f6b5ae52b8a7fe6727b85760c7151 (organising live-plotter). - Technical report scaffolding: 1d2541d7ce9b42221a52109a1de337465b963a71 (Technical report placeholders), d53b2cb812d858c9884b4db2e90dda3dc70cdb50 (Techincal Report boilerplate), ce39889e60cd1d074618e968556319b7ccad5793 (added footer), cac43f9d51ee9fe109a468c4a98c97977e3214b4 (adding deep sectioning).
6 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for ejustroboticsclub/MATE-ROV-2025 focused on improving project structure and documentation groundwork to enable faster feature development and more robust reporting. Key architectural improvements include: Rov-control and Live Plotter module reorganization to a dedicated rov-control directory with renamed and clarified file structure, plus a reorganized live-plotter module for better maintainability. Technical Report scaffolding and LaTeX enhancements were established, introducing a boilerplate setup, placeholder directories/files, and enhanced sectioning and formatting to streamline future documentation. Notable commits contributed to these efforts include: - Rov changes: 3413eea20e272369f9547c9e0b3b0fc7b9ccc651 (Added control files to their directory) and 1d157c35ec6f6b5ae52b8a7fe6727b85760c7151 (organising live-plotter). - Technical report scaffolding: 1d2541d7ce9b42221a52109a1de337465b963a71 (Technical report placeholders), d53b2cb812d858c9884b4db2e90dda3dc70cdb50 (Techincal Report boilerplate), ce39889e60cd1d074618e968556319b7ccad5793 (added footer), cac43f9d51ee9fe109a468c4a98c97977e3214b4 (adding deep sectioning).
March 2025
Activity
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Quality Metrics
Correctness82.2%
Maintainability83.6%
Architecture81.4%
Performance80.8%
AI Usage21.4%
Skills & Technologies
Programming Languages
BashC++LaTeXPythonShellYAML
Technical Skills
Backend DevelopmentCode OrganizationCode RefactoringComputer VisionControl SystemsDocument FormattingDocument GenerationEmbedded SystemsFile ManagementGUI DevelopmentGame Development (Pygame)Joystick ControlNetwork ConfigurationNetwork ProgrammingPID Control
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