NRG948/NRGRobot2025
Jan 2025 – Oct 2025
6 Months active
Languages Used
GradleJavaGitJSON
Technical Skills
AbstractionAutonomous NavigationBuild System ManagementCode RefactoringCommand-Based FrameworkComputer Vision
NRG948DriverStation
PROFILE
Nrg948driverstation
Over six months, contributed to the NRGRobot2025 repository by developing and refining autonomous robotics software using Java, Gradle, and JSON. Delivered 113 features and resolved 26 bugs, focusing on robust autonomous routines, subsystem integration, and precise control systems. Implemented command-based programming patterns, advanced path planning, and sensor calibration to enhance reliability and operator safety. Integrated technologies such as WPILib, CAN bus, and Shuffleboard for real-time telemetry and diagnostics. Prioritized maintainability through code refactoring, configuration management, and detailed logging. The work enabled rapid iteration, improved competition performance, and ensured the robot’s autonomous and tele-operated modes operated with accuracy and consistency.
Overall Statistics
Feature vs Bugs
81%Features
Repository Contributions
216Total
Bugs
26
Commits
216
Features
113
Lines of code
13,526
Activity Months6
Your Network
11 peopleWork History
October 2025
5 Commits • 2 Features
Oct 1, 20252025-10 monthly summary for NRG948/NRGRobot2025. This period focused on precision calibration, reliable autonomous behavior, and operator safety enhancements to improve field performance, cycle consistency, and risk management. Delivered tangible improvements in alignment accuracy, autonomous path timing, and control ergonomics while maintaining a strong emphasis on safety and maintainability.
5 Commits • 2 Features
Oct 1, 20252025-10 monthly summary for NRG948/NRGRobot2025. This period focused on precision calibration, reliable autonomous behavior, and operator safety enhancements to improve field performance, cycle consistency, and risk management. Delivered tangible improvements in alignment accuracy, autonomous path timing, and control ergonomics while maintaining a strong emphasis on safety and maintainability.
October 2025
July 2025
3 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for NRGRobot2025: Delivered focused reliability and performance improvements across key subsystems. The work centered on correcting mass modeling for the competition robot, refining wall-alignment behavior via PID tuning, and adjusting climbing behavior for safer, more consistent climbs. These changes enhance gameplay reliability in both autonomous and tele-operated modes, reduce risk during competition, and improve maintainability through clear, commit-backed changes.
July 2025
3 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for NRGRobot2025: Delivered focused reliability and performance improvements across key subsystems. The work centered on correcting mass modeling for the competition robot, refining wall-alignment behavior via PID tuning, and adjusting climbing behavior for safer, more consistent climbs. These changes enhance gameplay reliability in both autonomous and tele-operated modes, reduce risk during competition, and improve maintainability through clear, commit-backed changes.
April 2025
55 Commits • 29 Features
Apr 1, 2025April 2025 summary for NRGRobot2025 (NRG948): Delivered core platform stability and performance improvements aligned with competition readiness. Key work included wheel diameter and weight updates across the robot and practice bot; integration of LaserCAN subsystem and autos support; major alignment enhancements with AlignRearBumperToWall and wall-angle logic; refactor of stowAll into CoralAndElevatorCommands for modularity; and auto path maturation, organization, and tuning. These changes deliver improved accuracy, safety, and planning robustness, enabling faster deployment and easier maintenance across the team.
55 Commits • 29 Features
Apr 1, 2025April 2025 summary for NRGRobot2025 (NRG948): Delivered core platform stability and performance improvements aligned with competition readiness. Key work included wheel diameter and weight updates across the robot and practice bot; integration of LaserCAN subsystem and autos support; major alignment enhancements with AlignRearBumperToWall and wall-angle logic; refactor of stowAll into CoralAndElevatorCommands for modularity; and auto path maturation, organization, and tuning. These changes deliver improved accuracy, safety, and planning robustness, enabling faster deployment and easier maintenance across the team.
April 2025
March 2025
70 Commits • 42 Features
Mar 1, 2025March 2025 NRGRobot2025 monthly summary: The team delivered and stabilized autonomous and control capabilities across multiple subsystems, prioritizing reliability, safety, and business value for competition readiness. Key features delivered include Swerve Drive Alignment Tuning for improved steering accuracy, Algae Arm gear ratio and competition bot parameter updates for more predictable manipulation, and Arm Subsystem Construction Enhancement enabling flexible, future-ready subsystem wiring. Path planning and autonomy were strengthened via a PathPlannerLib upgrade to 2025.2.5 with path-following geometry fixes, plus extensive auto tuning and rerun support (waypoints/paths/autos). Perception and vision improvements included camera calibration for a 150-degree FOV, separate vision parameters for the competition bot, and corrected transforms. Additional automation and safety enhancements cover coral center automation, coral safety hardening, and elevator/back-scratcher command integration; and LaserCAN improvements with dual-detection and LED indicators.
March 2025
70 Commits • 42 Features
Mar 1, 2025March 2025 NRGRobot2025 monthly summary: The team delivered and stabilized autonomous and control capabilities across multiple subsystems, prioritizing reliability, safety, and business value for competition readiness. Key features delivered include Swerve Drive Alignment Tuning for improved steering accuracy, Algae Arm gear ratio and competition bot parameter updates for more predictable manipulation, and Arm Subsystem Construction Enhancement enabling flexible, future-ready subsystem wiring. Path planning and autonomy were strengthened via a PathPlannerLib upgrade to 2025.2.5 with path-following geometry fixes, plus extensive auto tuning and rerun support (waypoints/paths/autos). Perception and vision improvements included camera calibration for a 150-degree FOV, separate vision parameters for the competition bot, and corrected transforms. Additional automation and safety enhancements cover coral center automation, coral safety hardening, and elevator/back-scratcher command integration; and LaserCAN improvements with dual-detection and LED indicators.
February 2025
62 Commits • 26 Features
Feb 1, 2025February 2025 (NRG948/NRGRobot2025) delivered substantial feature improvements, safety hardening, and telemetry enhancements across core subsystems. The work focused on enabling robust scoring at multiple levels, safer drivetrain and collision handling, and richer diagnostics to accelerate iteration and reduce risk during practice and competition.
62 Commits • 26 Features
Feb 1, 2025February 2025 (NRG948/NRGRobot2025) delivered substantial feature improvements, safety hardening, and telemetry enhancements across core subsystems. The work focused on enabling robust scoring at multiple levels, safer drivetrain and collision handling, and richer diagnostics to accelerate iteration and reduce risk during practice and competition.
February 2025
January 2025
21 Commits • 12 Features
Jan 1, 2025January 2025 delivered a strong foundation for NRGRobot2025 with a focused set of features, reliability improvements, and a platform upgrade designed to accelerate development and improve robot performance for the 2025 season. The work lays groundwork for rapid feature delivery, operator visibility, and robust autonomous operation, while tightening stability across tooling and localization capabilities.
January 2025
21 Commits • 12 Features
Jan 1, 2025January 2025 delivered a strong foundation for NRGRobot2025 with a focused set of features, reliability improvements, and a platform upgrade designed to accelerate development and improve robot performance for the 2025 season. The work lays groundwork for rapid feature delivery, operator visibility, and robust autonomous operation, while tightening stability across tooling and localization capabilities.
Activity
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Quality Metrics
Correctness87.0%
Maintainability89.4%
Architecture87.0%
Performance84.0%
AI Usage20.2%
Skills & Technologies
Programming Languages
GitGradleJSONJava
Technical Skills
AbstractionAdapter PatternAutonomous Command DevelopmentAutonomous NavigationAutonomous ProgrammingAutonomous RoutinesAutonomous SystemsBuild AutomationBuild System ManagementCAN Bus ConfigurationCalibrationCode RefactoringCommand-Based FrameworkCommand-Based ProgrammingCommand-Based Robot
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