FRC1732/2025-1732Bot
Jan 2025 – Feb 2025
2 Months active
Languages Used
Java
Technical Skills
Code CleanupEmbedded SystemsJavaJava DevelopmentNetworkTablesRefactoring
Cash
PROFILE
Cash
Brunw18 contributed to the FRC1732/2025-1732Bot repository by developing navigation and perception features for robotics applications. They integrated QuestNav to enable HMD-based robot navigation, providing real-time telemetry through NetworkTables and a streamlined Java API for pose, battery, and connection status, including reset capabilities. Their work included extensive code cleanup and refactoring, improving maintainability and reducing technical debt in the robot configuration. In the following month, Brunw18 implemented a rolling average filter for vision-based pose estimation, smoothing noisy data to enhance navigation stability. Their efforts demonstrated depth in Java development, embedded systems, and computer vision, with a focus on reliability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
454
Activity Months2
Your Network
13 people
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for FRC1732/2025-1732Bot: Implemented Vision Pose Smoothing with Rolling Average to stabilize vision-based pose estimates. Introduced a rolling average filter with a history of past poses and added API methods to update and retrieve the averaged pose. This change reduces pose jitter, improving navigation stability and reliability for QuestNav's planning and obstacle avoidance. The change is tracked with commit f78557f46ba73760de203bf4b8e5ab67ddfd3937. Overall, this enhancement increases perception robustness with minimal integration effort and clear traceability.
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for FRC1732/2025-1732Bot: Implemented Vision Pose Smoothing with Rolling Average to stabilize vision-based pose estimates. Introduced a rolling average filter with a history of past poses and added API methods to update and retrieve the averaged pose. This change reduces pose jitter, improving navigation stability and reliability for QuestNav's planning and obstacle avoidance. The change is tracked with commit f78557f46ba73760de203bf4b8e5ab67ddfd3937. Overall, this enhancement increases perception robustness with minimal integration effort and clear traceability.
February 2025
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025 delivered two high-impact capabilities for FRC1732/2025-1732Bot, emphasizing navigation reliability and code maintainability. QuestNav integration enables HMD-based robot navigation with real-time telemetry (pose, battery, connection) via NetworkTables and a clean API surface for querying pose, battery, and status, plus zero-heading/zero-position reset. Concurrent codebase cleanup/refactor for robot config reduced debt, improved readability, and simplified maintenance. No critical bugs reported; focus was on stability, reliability, and groundwork for future autonomy features.
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025 delivered two high-impact capabilities for FRC1732/2025-1732Bot, emphasizing navigation reliability and code maintainability. QuestNav integration enables HMD-based robot navigation with real-time telemetry (pose, battery, connection) via NetworkTables and a clean API surface for querying pose, battery, and status, plus zero-heading/zero-position reset. Concurrent codebase cleanup/refactor for robot config reduced debt, improved readability, and simplified maintenance. No critical bugs reported; focus was on stability, reliability, and groundwork for future autonomy features.
Activity
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Quality Metrics
Correctness80.0%
Maintainability86.6%
Architecture80.0%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
Code CleanupComputer VisionEmbedded SystemsJavaJava DevelopmentNetworkTablesRefactoringRobot ConfigurationRoboticsSoftware Engineering
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