frc2399/2025-season
Jan 2025 – Mar 2025
3 Months active
Languages Used
JavaC++JSON
Technical Skills
Embedded SystemsJavaRobot Control SystemsRobotics Software DevelopmentAutonomous NavigationAutonomous Programming
achatlos
PROFILE
Achatlos
Over a three-month period, contributed to frc2399/2025-season by developing and refining autonomous navigation, control, and manipulation systems for a competitive robotics platform. Built and integrated subsystems such as the Coral Intake and elevator controls, focusing on hardware-software integration, telemetry, and reliable state publishing. Refactored drive control into a modular Command-based architecture using Java and WPILib, improving testability and subsystem integration. Enhanced localization and trajectory following by implementing vision-based pose estimation and field-relative driving, while tuning autonomous routines for greater reliability. Addressed configuration management, parameter tuning, and bug fixes to ensure robust operation and streamlined development workflows across the codebase.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
24Total
Bugs
2
Commits
24
Features
7
Lines of code
2,090
Activity Months3
Your Network
19 peopleWork History
March 2025
14 Commits • 4 Features
Mar 1, 2025Concise monthly summary for 2025-03: Delivered substantial improvements across perception, localization, and manipulation, delivering higher autonomous reliability, improved field readiness, and clearer visibility into robot state for operators. The work emphasizes business value through more predictable autonomous behavior, tighter integration with CAD field values, and safer, more efficient manipulation and intake cycles.
14 Commits • 4 Features
Mar 1, 2025Concise monthly summary for 2025-03: Delivered substantial improvements across perception, localization, and manipulation, delivering higher autonomous reliability, improved field readiness, and clearer visibility into robot state for operators. The work emphasizes business value through more predictable autonomous behavior, tighter integration with CAD field values, and safer, more efficient manipulation and intake cycles.
March 2025
February 2025
9 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for frc2399/2025-season focusing on business value and technical delivery across features and bugs: - Autonomous system tuning and 2025 routine setup delivered by tuning the path planner and choreo constants, integrating autonomous commands into the setup, and improving reliability (outtake handling) while adjusting routing of routines; this establishes the baseline for reliable autonomous operation in the 2025 season. - Drive control refactor to a Command-based architecture: refactored drive control into a modular Command structure and added a drive command on the correct branch, enabling better testability, reusability, and integration with the robot control system. - Code cleanup and merge conflict resolution: completed merge conflict resolutions and cleanup in RobotContainer and CommandFactory to ensure proper subsystem initialization and driver/operator bindings, reducing runtime risk and setup friction. Overall this work improves reliability of autonomous routines, modularity of the control stack, and reduces integration risk for the 2025 competition cycle.
February 2025
9 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for frc2399/2025-season focusing on business value and technical delivery across features and bugs: - Autonomous system tuning and 2025 routine setup delivered by tuning the path planner and choreo constants, integrating autonomous commands into the setup, and improving reliability (outtake handling) while adjusting routing of routines; this establishes the baseline for reliable autonomous operation in the 2025 season. - Drive control refactor to a Command-based architecture: refactored drive control into a modular Command structure and added a drive command on the correct branch, enabling better testability, reusability, and integration with the robot control system. - Code cleanup and merge conflict resolution: completed merge conflict resolutions and cleanup in RobotContainer and CommandFactory to ensure proper subsystem initialization and driver/operator bindings, reducing runtime risk and setup friction. Overall this work improves reliability of autonomous routines, modularity of the control stack, and reduces integration risk for the 2025 competition cycle.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary focusing on key accomplishments and business impact for frc2399/2025-season. Key feature delivered: Coral Intake Subsystem with end-to-end hardware-software integration, enabling controlled intake operation and telemetry. Impact highlights: - Established a complete Coral Intake Subsystem architecture including CAN IDs for intake motors and wrist, motor controllers with current limits and idle modes, and encoder-based velocity/position tracking. - Implemented a main subsystem class to perform periodic updates, generate commands, and publish relevant states for observability and debugging. - Added a placeholder/testing implementation to validate subsystem behavior during integration. - Code committed: 14a9914a15f740c09db17ea57b04a343ebdbc7bd ("added coral intake").
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary focusing on key accomplishments and business impact for frc2399/2025-season. Key feature delivered: Coral Intake Subsystem with end-to-end hardware-software integration, enabling controlled intake operation and telemetry. Impact highlights: - Established a complete Coral Intake Subsystem architecture including CAN IDs for intake motors and wrist, motor controllers with current limits and idle modes, and encoder-based velocity/position tracking. - Implemented a main subsystem class to perform periodic updates, generate commands, and publish relevant states for observability and debugging. - Added a placeholder/testing implementation to validate subsystem behavior during integration. - Code committed: 14a9914a15f740c09db17ea57b04a343ebdbc7bd ("added coral intake").
January 2025
Activity
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Quality Metrics
Correctness82.6%
Maintainability84.6%
Architecture82.0%
Performance75.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++JSONJava
Technical Skills
Autonomous NavigationAutonomous ProgrammingAutonomous RoutinesCommand-Based FrameworkCommand-Based ProgrammingComputer VisionConfigurationConfiguration ManagementControl SystemsEmbedded SystemsJavaOdometryParameter TuningPose EstimationRobot Control
Repositories Contributed To
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