UBC-Snowbots/RoverFlake2
Mar 2025 – Mar 2025
1 Month active
Languages Used
C++CSSIDLXML
Technical Skills
C++CSSEmbedded SystemsFront-end DevelopmentGTK+HMI Development
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PROFILE
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Riddhima Gupta developed the initial Science Module Human-Machine Interface for the UBC-Snowbots/RoverFlake2 repository, focusing on enabling operator control over science sequences, valves, and carousel indexing. She used C++ and GTK+ to build a responsive interface, refining the UI layout and integrating real-time status indicators to enhance operator feedback and situational awareness. Her work emphasized HMI development and front-end design, laying the foundation for future automation of science workflows. Although the project was in its early stages, the implementation demonstrated a solid grasp of embedded systems and ROS2 integration, with changes prepared for quality assurance and upcoming system integration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
1,713
Activity Months1
Your Network
8 peopleWork History
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly work summary for RoverFlake2 (UBC-Snowbots). Focused on delivering and refining the Science Module HMI. Key enhancements include an initial GTK-based Human-Machine Interface enabling control of science sequences, valves, and carousel indexing, paired with UI refinements to improve layout, status indicators, and operator feedback. This work lays the groundwork for automated science workflows and improved operator efficiency across the rover platform.
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly work summary for RoverFlake2 (UBC-Snowbots). Focused on delivering and refining the Science Module HMI. Key enhancements include an initial GTK-based Human-Machine Interface enabling control of science sequences, valves, and carousel indexing, paired with UI refinements to improve layout, status indicators, and operator feedback. This work lays the groundwork for automated science workflows and improved operator efficiency across the rover platform.
March 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CSSIDLXML
Technical Skills
C++CSSEmbedded SystemsFront-end DevelopmentGTK+HMI DevelopmentROS2UI/UX Design
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