frc2399/2025-season
Jan 2025 – Mar 2025
3 Months active
Languages Used
JSONJava
Technical Skills
Autonomous NavigationAutonomous ProgrammingAutonomous RoutinesChoreoJSONJava
Aashvi Jagetia
PROFILE
Aashvi Jagetia
Over a three-month period, contributed to the frc2399/2025-season repository by developing and refining an autonomous path planning and choreography framework for robotics competition. Leveraging Java and JSON, implemented autonomous routines, integrated PathPlanner, and enhanced subsystem control for reliable robot navigation. The work included tuning PID control, improving sensor calibration, and updating trajectory generation to increase path accuracy and maintainability. Refactored legacy code, resolved merge conflicts, and improved configuration management to streamline future development. Enhanced telemetry reporting and command-based programming enabled clearer diagnostics and more robust autonomous performance, supporting faster iteration and safer operations throughout the competition season.
Overall Statistics
Feature vs Bugs
79%Features
Repository Contributions
42Total
Bugs
4
Commits
42
Features
15
Lines of code
24,253
Activity Months3
Your Network
19 peopleWork History
March 2025
8 Commits • 3 Features
Mar 1, 2025March 2025 focused on advancing autonomous routines, stabilizing telemetry, and improving maintainability for frc2399/2025-season. Delivered new autonomous configurations and trajectory updates, enhanced control/telemetry reporting, and cleaned up/refactored autonomous code for future logging/diagnostics. These changes increase path accuracy, reliability of auto modes, and readiness for diagnostics, boosting in-competition consistency and long-term maintainability.
8 Commits • 3 Features
Mar 1, 2025March 2025 focused on advancing autonomous routines, stabilizing telemetry, and improving maintainability for frc2399/2025-season. Delivered new autonomous configurations and trajectory updates, enhanced control/telemetry reporting, and cleaned up/refactored autonomous code for future logging/diagnostics. These changes increase path accuracy, reliability of auto modes, and readiness for diagnostics, boosting in-competition consistency and long-term maintainability.
March 2025
February 2025
28 Commits • 11 Features
Feb 1, 2025February 2025 performance summary for frc2399/2025-season focusing on delivering autonomous capabilities, stabilizing sensing, and fortifying the command framework. The month combined feature work with targeted bug fixes to improve reliability, maintainability, and business impact ahead of competition season. Highlights include new autonomous commands and path updates, gyro/position accuracy improvements, extensive auton tuning, API enhancements, and choreography/path cleanup, along with essential PR hygiene and commit hygiene improvements.
February 2025
28 Commits • 11 Features
Feb 1, 2025February 2025 performance summary for frc2399/2025-season focusing on delivering autonomous capabilities, stabilizing sensing, and fortifying the command framework. The month combined feature work with targeted bug fixes to improve reliability, maintainability, and business impact ahead of competition season. Highlights include new autonomous commands and path updates, gyro/position accuracy improvements, extensive auton tuning, API enhancements, and choreography/path cleanup, along with essential PR hygiene and commit hygiene improvements.
January 2025
6 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for frc2399/2025-season. Delivered an integrated autonomous path planning and choreography framework for the 2025 season, with PathPlanner auto integration, AutoChooser, and choreo path organization. Completed and documented multiple autonomous trajectories (4-piece, 3-piece, 2-piece, and 'leave starting line'), and added an additional mid-barge to reef path. Refactored to remove deprecated trajectories, improved maintainability. Integrated auton logic into the drive subsystem and robot container, aligning choreo with PathPlanner and merging branches to main. This work enhances autonomous reliability, flexibility, and readiness for competition, enabling faster iteration and safer operations.
6 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for frc2399/2025-season. Delivered an integrated autonomous path planning and choreography framework for the 2025 season, with PathPlanner auto integration, AutoChooser, and choreo path organization. Completed and documented multiple autonomous trajectories (4-piece, 3-piece, 2-piece, and 'leave starting line'), and added an additional mid-barge to reef path. Refactored to remove deprecated trajectories, improved maintainability. Integrated auton logic into the drive subsystem and robot container, aligning choreo with PathPlanner and merging branches to main. This work enhances autonomous reliability, flexibility, and readiness for competition, enabling faster iteration and safer operations.
January 2025
Activity
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Quality Metrics
Correctness84.8%
Maintainability87.2%
Architecture82.8%
Performance81.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJava
Technical Skills
Autonomous NavigationAutonomous Path TuningAutonomous ProgrammingAutonomous RoutinesChoreoCode RefactoringCommand-Based FrameworkCommand-Based ProgrammingConfiguration ManagementConstants ManagementControl SystemsDebuggingEmbedded SystemsJSONJava
Repositories Contributed To
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