frc2423/2025
Jan 2025 – Apr 2025
4 Months active
Languages Used
JavaGradleJSONMarkdownXMLYAML
Technical Skills
Computer VisionControl SystemsEmbedded SystemsLocalizationRoboticsRobotics Programming
Ben Skraly
PROFILE
Ben Skraly
Ben Skraly developed advanced robotics software for the frc2423/2025 repository, focusing on autonomous navigation, swerve drive control, and operator workflow improvements. Over four months, he delivered features such as vision-based localization, auto-alignment routines, and subsystem safety enforcement, using Java and WPILib within a command-based framework. His work included integrating computer vision for real-time pose estimation, refining path planning for autonomous routines, and automating intake and climbing mechanisms. By emphasizing modular subsystem design and robust configuration management, Ben improved reliability, reduced operator workload, and enhanced competition readiness, demonstrating depth in embedded systems, control systems, and continuous integration practices.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
29Total
Bugs
2
Commits
29
Features
16
Lines of code
9,216
Activity Months4
Your Network
8 people
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary focused on delivering reliable auto-alignment improvements for the Human Player Station in frc2423/2025. Implemented Swerve Drive Auto-Alignment Enhancements, including an algae mode and a timer-based approach for the Y-axis target to improve precision and stability during alignment. Refactored alignment commands for maintainability and future extension. No major bugs fixed within scope. This work reduces operator effort, shortens alignment time, and increases consistency in autonomous and manual interactions, delivering measurable business value for competition readiness and performance.
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary focused on delivering reliable auto-alignment improvements for the Human Player Station in frc2423/2025. Implemented Swerve Drive Auto-Alignment Enhancements, including an algae mode and a timer-based approach for the Y-axis target to improve precision and stability during alignment. Refactored alignment commands for maintainability and future extension. No major bugs fixed within scope. This work reduces operator effort, shortens alignment time, and increases consistency in autonomous and manual interactions, delivering measurable business value for competition readiness and performance.
April 2025
March 2025
11 Commits • 5 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for frc2423/2025. This period delivered a cohesive set of autonomous expansion, drive tuning, feedback, and algae automation across the robot software stack, with a strong focus on reliability, measurable business value, and cross-subsystem collaboration.
March 2025
11 Commits • 5 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for frc2423/2025. This period delivered a cohesive set of autonomous expansion, drive tuning, feedback, and algae automation across the robot software stack, with a strong focus on reliability, measurable business value, and cross-subsystem collaboration.
February 2025
13 Commits • 8 Features
Feb 1, 2025February 2025 monthly summary for frc2423/2025: Delivered end-to-end improvements across climbing, vision, elevator, autonomy, and dashboards to accelerate competition readiness and reduce on-field risk. Key features include a new ClimberTesting project and ClimberSubsystem, PhotonVision settings export, faster elevator with safety constraints, automatic AprilTag alignment via the Back button, and expanded autonomous routines with refined path planning. Also initialized the 2025 competition codebase with CI workflows and core subsystems. These changes enable quicker configuration, safer operation, and more reliable autonomous behavior, delivering clear business value in terms of reduced downtime, easier configuration sharing, and improved on-field performance.
13 Commits • 8 Features
Feb 1, 2025February 2025 monthly summary for frc2423/2025: Delivered end-to-end improvements across climbing, vision, elevator, autonomy, and dashboards to accelerate competition readiness and reduce on-field risk. Key features include a new ClimberTesting project and ClimberSubsystem, PhotonVision settings export, faster elevator with safety constraints, automatic AprilTag alignment via the Back button, and expanded autonomous routines with refined path planning. Also initialized the 2025 competition codebase with CI workflows and core subsystems. These changes enable quicker configuration, safer operation, and more reliable autonomous behavior, delivering clear business value in terms of reduced downtime, easier configuration sharing, and improved on-field performance.
February 2025
January 2025
4 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for frc2423/2025: Focused on safety hardening, localization improvements, and operator experience. Delivered key features and fixes that reduce risk, improve precision, and streamline teleop workflow for the frc2423/2025 project.
January 2025
4 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for frc2423/2025: Focused on safety hardening, localization improvements, and operator experience. Delivered key features and fixes that reduce risk, improve precision, and streamline teleop workflow for the frc2423/2025 project.
Activity
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Quality Metrics
Correctness81.0%
Maintainability81.6%
Architecture79.8%
Performance78.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
GradleJSONJavaMarkdownXMLYAML
Technical Skills
Autonomous NavigationAutonomous ProgrammingAutonomous RoutinesBuild AutomationCI/CDCommand-Based FrameworkCommand-Based ProgrammingCommand-Based Robot ProgrammingComputer VisionConfiguration ManagementControl SystemsController Input HandlingEmbedded SystemsJavaJava Development
Repositories Contributed To
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