MRoboSub/mrobosub
Feb 2026 – Feb 2026
1 Month active
Languages Used
C++Python
Technical Skills
C++ programmingPythonPython programmingROSembedded systemsrobotics
Colten G
PROFILE
Colten G
Worked on the MRoboSub/mrobosub repository to deliver motor and thruster control enhancements, focusing on integrating Pololu-driven multi-pin output capabilities and refactoring core control scripts for streamlined hardware communication. Applied Python and C++ programming skills to restructure thruster_controller.py and pololu.py, enabling a new command structure for pin outputs and supporting future hardware iterations. Expanded the motor testing suite by adding comprehensive test scripts and fixing existing tests, which improved continuous integration reliability and early fault detection. Emphasized modularity and maintainability through hardware-in-the-loop testing, test-driven development, and foundational refactors that reduce regression risk during hardware experimentation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
8,912
Activity Months1
Your Network
231 peopleSame Organization
@umich.edu216
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Work History
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for MRoboSub/mrobosub: Delivered significant motor and thruster control enhancements with Pololu integration, expanded testing coverage, and foundational refactors to enable multi-pin control and streamlined communications. The work reduces risk for hardware actuation, speeds up development cycles, and strengthens mission readiness through improved reliability and maintainability.
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for MRoboSub/mrobosub: Delivered significant motor and thruster control enhancements with Pololu integration, expanded testing coverage, and foundational refactors to enable multi-pin control and streamlined communications. The work reduces risk for hardware actuation, speeds up development cycles, and strengthens mission readiness through improved reliability and maintainability.
February 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++ programmingPythonPython programmingROSembedded systemsroboticstesting
Repositories Contributed To
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