AndromedaOne/AndromedaOneCode
Feb 2025 – Feb 2025
1 Month active
Languages Used
JavaPlantUML
Technical Skills
DiagrammingDocumentationEmbedded SystemsRoboticsState Machine DesignState Machines
Pete Gravelle
PROFILE
Pete Gravelle
Pete developed a state-machine-based coral intake and ejection control system for the AndromedaOneCode repository, focusing on explicit states and conditions to enhance autonomous reliability and testability. He utilized Java for the control logic and PlantUML to create detailed subsystem diagrams, supporting hardware-software integration and improving cross-team communication. By removing an unused PlantUML diagram, Pete streamlined the documentation, reducing potential confusion. His work addressed the need for safer coral handling and smoother maintenance in embedded robotics systems. The depth of his contribution is reflected in the clear state machine design and comprehensive documentation, though the scope was limited to a single feature.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
265
Activity Months1
Your Network
10 people
Work History
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for AndromedaOneCode: Delivered a state-machine-based coral intake/ejection control with explicit states and conditions, augmented by end effector subsystem diagrams. Removed an unused PlantUML diagram to reduce confusion. This work improves autonomous reliability, testability, and cross-team clarity, enabling safer coral handling and smoother maintenance. Repository focus: AndromedaOne/AndromedaOneCode.
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for AndromedaOneCode: Delivered a state-machine-based coral intake/ejection control with explicit states and conditions, augmented by end effector subsystem diagrams. Removed an unused PlantUML diagram to reduce confusion. This work improves autonomous reliability, testability, and cross-team clarity, enabling safer coral handling and smoother maintenance. Repository focus: AndromedaOne/AndromedaOneCode.
February 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability100.0%
Architecture93.4%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaPlantUML
Technical Skills
DiagrammingDocumentationEmbedded SystemsRoboticsState Machine DesignState Machines
Repositories Contributed To
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