mcgill-robotics/auv-embedded-2025
Jan 2025 – Jan 2025
1 Month active
Languages Used
C++
Technical Skills
C++DocumentationEmbedded SystemsHardware InterfacingMicrocontroller ProgrammingROS
dotpotluck
PROFILE
Dotpotluck
Dorothy McGill focused on enhancing the mcgill-robotics/auv-embedded-2025 repository by delivering comprehensive inline documentation and clarifications for ADC sensor usage and power management systems. Working primarily in C++ and leveraging her expertise in embedded systems and ROS, she improved the clarity of code related to voltage and current sensing, temperature monitoring, thruster control, and ROS-based communication on the power board. Her work emphasized maintainability and onboarding, ensuring that future developers can safely extend sensor data acquisition and power control features. By documenting interfaces and data flows, Dorothy reduced the risk of defects and facilitated more robust future development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
267
Activity Months1
Your Network
12 people
Work History
January 2025
3 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for mcgill-robotics/auv-embedded-2025 focused on improving code clarity for ADC sensors and power management. Delivered extensive inline documentation and clarifications across ADC sensor usage, power management components, and the ROS interface on the power board. This work enhances readability, maintainability, onboarding, and reduces risk for future enhancements in sensor data acquisition and power control.
3 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for mcgill-robotics/auv-embedded-2025 focused on improving code clarity for ADC sensors and power management. Delivered extensive inline documentation and clarifications across ADC sensor usage, power management components, and the ROS interface on the power board. This work enhances readability, maintainability, onboarding, and reduces risk for future enhancements in sensor data acquisition and power control.
January 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability100.0%
Architecture86.6%
Performance80.0%
AI Usage26.6%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++DocumentationEmbedded SystemsHardware InterfacingMicrocontroller ProgrammingROSSensor Integration
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