FRC5188/ReefCode
Mar 2025 – Mar 2025
1 Month active
Languages Used
JSONJava
Technical Skills
Autonomous NavigationAutonomous Path PlanningAutonomous Path VisualizationAutonomous Routine ConfigurationAutonomous RoutinesComputer Vision
Henthorn Lab @ RHIT
PROFILE
Henthorn Lab @ Rhit
Developed end-to-end autonomous and perception enhancements for the ReefCode repository, focusing on improving reliability and operator usability in robotics applications. Leveraged Java and the PathPlanner library to implement autonomous path planning, visualization, and configuration for multiple routines, enabling simulation support and reducing manual intervention. Enhanced the vision system through camera alignment, constants management, and swerve drive tuning, supporting more accurate autonomous navigation. Refined operator experience by updating auto-alignment inputs and minimizing joystick warnings. Integrated computer vision and control systems expertise to accelerate testing and enable safer, more capable autonomous operation, demonstrating depth in both embedded systems and robotics software engineering.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
4
Lines of code
2,321
Activity Months1
Your Network
17 peopleWork History
March 2025
14 Commits • 4 Features
Mar 1, 2025March 2025: ReefCode delivered end-to-end autonomous and perception enhancements for improved reliability, usability, and business value. Key work centered on tuning vision/perception, reinforcing reef-oriented autonomous behavior, refining operator UX, and enabling PathPlanner-based autonomous paths with simulation support. These efforts reduce manual intervention, accelerate testing, and enable safer, more capable autonomous operation.
14 Commits • 4 Features
Mar 1, 2025March 2025: ReefCode delivered end-to-end autonomous and perception enhancements for improved reliability, usability, and business value. Key work centered on tuning vision/perception, reinforcing reef-oriented autonomous behavior, refining operator UX, and enabling PathPlanner-based autonomous paths with simulation support. These efforts reduce manual intervention, accelerate testing, and enable safer, more capable autonomous operation.
March 2025
Activity
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Quality Metrics
Correctness80.8%
Maintainability82.8%
Architecture77.8%
Performance81.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJava
Technical Skills
Autonomous NavigationAutonomous Path PlanningAutonomous Path VisualizationAutonomous Routine ConfigurationAutonomous RoutinesComputer VisionConfiguration ManagementConstants ManagementControl SystemsEmbedded SystemsField2d WidgetGeometryJavaPID TuningPath Planning
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