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 three months, Anay Jagetia developed and refined an autonomous path planning and choreography framework for the frc2399/2025-season repository, focusing on robust autonomous routines for robotics competition. He integrated PathPlanner and Choreo to deliver configurable autonomous trajectories, enhanced by Java and JSON-based configuration management. Anay improved subsystem integration, sensor calibration, and control systems, tuning PID and motor parameters for reliable path following. His work included extensive code refactoring, merge conflict resolution, and telemetry enhancements, resulting in maintainable, testable code. These efforts increased the reliability, flexibility, and diagnostic readiness of the robot’s autonomous modes, supporting rapid iteration and competition performance.
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 people
Work 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
Loading activity data...
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
Overview of all repositories you've contributed to across your timeline