DukeRobotics/robosub-ros2
Feb 2025 – Apr 2026
3 Months active
Languages Used
C++PythonBashJavaScriptTypeScript
Technical Skills
C++Computer VisionImage ProcessingObject DetectionPythonROS2
Mathew Chu
PROFILE
Mathew Chu
Worked on the DukeRobotics/robosub-ros2 repository, developing a Torpedo Target Detection Node that processes camera input using HSV color filtering and contour matching to identify torpedo targets, publishing bounding box data for downstream modules. Enhanced the perception pipeline with intermediate debugging visuals to support validation and tuning. Led a repository-wide DepthAI constants refactor, applying extensive linting and style normalization to improve maintainability and support future integration. Addressed robustness in spatial detection by implementing default scaling values for DepthAISpatialDetector, reducing runtime failures. Utilized C++, Python, and ROS2, focusing on computer vision, CI/CD, and robotics to deliver reliable, maintainable solutions.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
77,896
Activity Months3
Your Network
23 peopleSame Organization
@duke.edu21
Humam Al-ShamiMember
Bryan ChanMember
Bo YuMember
CelineMember
Chris WalterMember
HyeYun ParkMember
HakenmuellerMember
Jude AlnasMember
Kelly XuMember
Shared Repositories
2
Work History
April 2026
1 Commits
Apr 1, 2026April 2026: Focused on robustness and stability improvements in DukeRobotics/robosub-ros2. Implemented default scaling values for DepthAISpatialDetector to ensure robust spatial detection even when parameters are omitted, reducing runtime failures and enabling safer autonomous operation.
1 Commits
Apr 1, 2026April 2026: Focused on robustness and stability improvements in DukeRobotics/robosub-ros2. Implemented default scaling values for DepthAISpatialDetector to ensure robust spatial detection even when parameters are omitted, reducing runtime failures and enabling safer autonomous operation.
April 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 — DukeRobotics/robosub-ros2: Key focus on code quality and consistency with a major DepthAI constants refactor and global style standardization. Resulted in a cleaner, more maintainable codebase and a solid foundation for ongoing DepthAI integration. Repository: DukeRobotics/robosub-ros2. Commit: b5d60193106bca1c119add9b0cc929d5944e5589 (DepthAI Constants Refactoring (#117)) with extensive linting and repository-wide style normalization.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 — DukeRobotics/robosub-ros2: Key focus on code quality and consistency with a major DepthAI constants refactor and global style standardization. Resulted in a cleaner, more maintainable codebase and a solid foundation for ongoing DepthAI integration. Repository: DukeRobotics/robosub-ros2. Commit: b5d60193106bca1c119add9b0cc929d5944e5589 (DepthAI Constants Refactoring (#117)) with extensive linting and repository-wide style normalization.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 summary for DukeRobotics/robosub-ros2: Implemented a new Torpedo Target Detection Node in the ROS2 perception stack. The node processes camera input using HSV color filtering and contour matching against a reference image to detect upper and lower torpedo targets and publishes bounding box information for downstream planning and control. It also outputs intermediate debugging visuals (HSV-filtered and contour-detected views) to aid validation and tuning. This work includes an initial HSV-based torpedo detection implementation committed to the repository. No major bugs were documented this month. Overall, the feature enhances autonomous target detection, reduces manual intervention, and improves mission readiness by providing actionable vision data for downstream modules.
1 Commits • 1 Features
Feb 1, 2025February 2025 summary for DukeRobotics/robosub-ros2: Implemented a new Torpedo Target Detection Node in the ROS2 perception stack. The node processes camera input using HSV color filtering and contour matching against a reference image to detect upper and lower torpedo targets and publishes bounding box information for downstream planning and control. It also outputs intermediate debugging visuals (HSV-filtered and contour-detected views) to aid validation and tuning. This work includes an initial HSV-based torpedo detection implementation committed to the repository. No major bugs were documented this month. Overall, the feature enhances autonomous target detection, reduces manual intervention, and improves mission readiness by providing actionable vision data for downstream modules.
February 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability93.4%
Architecture86.6%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
BashC++JavaScriptPythonTypeScript
Technical Skills
C++CI/CDComputer VisionDockerImage ProcessingObject DetectionPythonROSROS2computer visionfull stack developmentlintingrobotics
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline