mcgill-robotics/rover-embedded-2025
Jan 2026 – Mar 2026
3 Months active
Languages Used
CC++CMake
Technical Skills
C programmingUART communicationembedded systemsfirmware developmentinterrupt handlingC++ programming
William Hansen-Baird
PROFILE
William Hansen-baird
Over a three-month period, contributed to the mcgill-robotics/rover-embedded-2025 repository by developing core embedded features in C and C++. Built an interrupt-driven UART communication framework with message protocol support, enabling reliable, low-latency serial messaging across multiple interfaces for scalable rover telemetry and command channels. Integrated TinyGPS and TinyGPS++ libraries to provide real-time GPS data parsing, location tracking, and distance calculations, enhancing navigation and telemetry capabilities. Leveraged CMake for build management and focused on clean integration, resolving conflicts and improving maintainability. The work established robust foundations for future geofencing, path planning, and analytics in embedded rover systems.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
115,654
Activity Months3
Your Network
11 peopleWork History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 - Delivered GPS Data Retrieval Enhancement by integrating TinyGPS into mcgill-robotics/rover-embedded-2025, enabling reliable location, speed, and altitude data for GPS-enabled devices. This strengthens navigation, tracking, and telemetry capabilities, supporting improved mission planning, asset monitoring, and analytics. The integration provides a solid foundation for GPS-based features while maintaining a lightweight footprint.
1 Commits • 1 Features
Mar 1, 2026March 2026 - Delivered GPS Data Retrieval Enhancement by integrating TinyGPS into mcgill-robotics/rover-embedded-2025, enabling reliable location, speed, and altitude data for GPS-enabled devices. This strengthens navigation, tracking, and telemetry capabilities, supporting improved mission planning, asset monitoring, and analytics. The integration provides a solid foundation for GPS-based features while maintaining a lightweight footprint.
March 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for mcgill-robotics/rover-embedded-2025: Implemented TinyGPS++ integration to enable GPS-based location tracking and distance calculations, enhancing autonomous navigation and telemetry.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for mcgill-robotics/rover-embedded-2025: Implemented TinyGPS++ integration to enable GPS-based location tracking and distance calculations, enhancing autonomous navigation and telemetry.
January 2026
2 Commits • 1 Features
Jan 1, 2026Concise monthly summary for 2026-01 focused on the mcgill-robotics/rover-embedded-2025 repository. Delivered a UART Communication Framework with interrupt-driven handling and a message protocol, enabling reliable, low-latency serial messaging across multiple UART interfaces and laying groundwork for scalable rover telemetry and command channels. The work included framing/deserialization, multi-channel support, and a simple firmware skeleton to accelerate development. Fixed integration issues by resolving conflicts and adding missing private variables to ensure clean builds and easier maintenance.
2 Commits • 1 Features
Jan 1, 2026Concise monthly summary for 2026-01 focused on the mcgill-robotics/rover-embedded-2025 repository. Delivered a UART Communication Framework with interrupt-driven handling and a message protocol, enabling reliable, low-latency serial messaging across multiple UART interfaces and laying groundwork for scalable rover telemetry and command channels. The work included framing/deserialization, multi-channel support, and a simple firmware skeleton to accelerate development. Fixed integration issues by resolving conflicts and adding missing private variables to ensure clean builds and easier maintenance.
January 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++CMake
Technical Skills
C programmingC++ developmentC++ programmingCMake build systemGPS data processingUART communicationembedded systemsfirmware developmentinterrupt handling
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