FRC1732/2025-1732Bot
Feb 2025 – Feb 2025
1 Month active
Languages Used
Java
Technical Skills
Command-Based FrameworkControl SystemsJavaPID ControlPathfindingRefactoring
MaxtonGraf
PROFILE
Maxtongraf
Worked on the FRC1732/2025-1732Bot repository, delivering two core features focused on autonomous robot navigation and command architecture. Developed an autonomous DriveToPose command using Java and PID control for swerve drive, enabling field-centric driving and operator-triggered navigation to predefined poses. Refactored the pathfinding command structure by replacing a nested ConditionalCommand with a HashMap-based SelectCommand, improving code readability and future extensibility. Emphasized system stability and operator efficiency throughout the process. Leveraged skills in command-based frameworks, control systems, and robotics to enhance autonomous reliability while maintaining a scalable and maintainable codebase for future development needs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
354
Activity Months1
Your Network
10 peopleWork History
February 2025
3 Commits • 2 Features
Feb 1, 2025February 2025: Delivered autonomous pose navigation and scalable command architecture for the FRC1732/2025-1732Bot project. Key work includes a DriveToPose Command with PID-based swerve control and field-centric driving, enabling operator-triggered navigation to predefined poses, and a Pathfinding Command Refactor that replaces a nested ConditionalCommand with a HashMap-based SelectCommand for path options. These changes improve autonomous reliability, readability, and future extensibility while maintaining a focus on system stability and operator efficiency.
3 Commits • 2 Features
Feb 1, 2025February 2025: Delivered autonomous pose navigation and scalable command architecture for the FRC1732/2025-1732Bot project. Key work includes a DriveToPose Command with PID-based swerve control and field-centric driving, enabling operator-triggered navigation to predefined poses, and a Pathfinding Command Refactor that replaces a nested ConditionalCommand with a HashMap-based SelectCommand for path options. These changes improve autonomous reliability, readability, and future extensibility while maintaining a focus on system stability and operator efficiency.
February 2025
Activity
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Quality Metrics
Correctness83.4%
Maintainability83.4%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
Command-Based FrameworkControl SystemsJavaPID ControlPathfindingRefactoringRobot ProgrammingRoboticsSwerve Drive
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