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amorygalili

PROFILE

Amorygalili

Over seven months, this developer contributed to frc2423/2025 by building and refining autonomous navigation, scoring, and control systems for robotics applications. They implemented features such as deadline-based path planning, robust pose estimation, and VR localization, while enhancing reliability through simulation-driven testing and comprehensive documentation. Their technical approach emphasized modular subsystem integration, PID tuning, and real-time telemetry, using Java, TypeScript, and React across both embedded and dashboard environments. By addressing bugs in climber encoders and intake systems, and overhauling the dashboard UI, they improved system reliability, operator efficiency, and maintainability, accelerating feature delivery from development through deployment.

Overall Statistics

Feature vs Bugs

82%Features

Repository Contributions

151Total
Bugs
17
Commits
151
Features
75
Lines of code
71,013
Activity Months7

Work History

September 2025

2 Commits • 1 Features

Sep 1, 2025

September 2025 monthly summary focusing on key accomplishments across frc2423/2025. Key bug fix for climber encoder, and Coral scoring enhancements delivering more reliable automation and scoring accuracy. These changes improved climb reliability, scoring consistency, and system observability. Demonstrated proficiency in encoder corrections, setpoint management, motor control optimization, stall detection, and auto-alignment refinement. Business value: reduced risk of failed climbs and scoring errors, improved performance monitoring, and smoother ops during matches.

June 2025

6 Commits • 4 Features

Jun 1, 2025

June 2025 monthly summary for frc2423/2025: Delivered critical reliability improvements in the autonomous system, overhauled the dashboard UI, introduced per-face ReefFace disable capability, and expanded elevator documentation. These changes reduce crash risk, improve operator control, and accelerate onboarding across the product area.

May 2025

17 Commits • 4 Features

May 1, 2025

May 2025 monthly summary for frc2423/2025: Delivered a set of core platform enhancements centered on QuestNav/QuestVR integration, autonomous navigation, and reef-side handling, with a strong emphasis on reliability, simulation-driven testing, and developer guidance. Implemented robust pose estimation and VR localization foundations, enabling accurate in-field navigation and testing in simulated environments. Enhanced autonomous navigation with GoToWayPoint and waypoint planning, including secondary waypoint support and refined target speeds, along with HP station selection logic for autonomous intake. Optimized reef-side operations through elevator performance tuning and expanded per-side dashboard support. Documented common build issues, QuestNav usage, and simulation setup to accelerate onboarding and troubleshooting. These efforts collectively improve system reliability, reduce debugging time, and accelerate feature delivery from development to deployment.

April 2025

14 Commits • 5 Features

Apr 1, 2025

April 2025 (frc2423/2025) delivered a focused set of autonomous, alignment, and automation improvements to increase scoring throughput, reliability, and operator efficiency, while expanding maintainability and telemetry. Key work included: a) autonomous navigation and scoring enhancements with a deadline-based path planner, automatic elevator drop after scoring, and refined multi-piece paths; b) HP/HPs alignment and orbit-mode refinements enabling field-wide orbit alignment and rotation to face nearest HPS tag; c) elevator and climbing automation with dynamic climbing position selection, improved alignment tolerances, integration with ElevatorLevelPicker, and manual elevator control via D-pad; d) subsystem control mappings refactor to improve clarity and future extensibility; e) Reef dashboard plugin added, with React/TypeScript/Vite-based UI and build updates for dashboard integration; f) intake robustness fix addressing a null-pointer in the distance sensor path. These efforts deliver measurable business value through higher scoring reliability, reduced operator workload, safer automatic transitions, and enhanced visibility into robot state.

March 2025

62 Commits • 29 Features

Mar 1, 2025

March 2025 monthly summary for frc2423/2025: Focus on reliability, automation, and visibility enhancements. Key features delivered include climber/elevator control improvements, AdvantageScope visualization, auto-alignment/auto-scoring core enhancements, groundwork for three-piece autos, and vision system/telemetry improvements. Major bugs fixed improved arm simulation reliability and telemetry, auto-align duplication, and autonomous stability. Impact: faster, safer climbs; more robust autonomous scoring; enhanced operator situational awareness; and cleaner merges through dependencies updates. Technologies demonstrated: WPILib/vendordeps updates, AdvantageScope, AprilTags alignment, vision telemetry, and elastic dashboard integration.

February 2025

33 Commits • 27 Features

Feb 1, 2025

February 2025 (frc2423/2025) focused on stabilizing auto-scoring, improving auto-alignment, refining swerve control, and enhancing vision and maintainability. Key reliability improvements reduced runtime crashes in auto-scoring when Apri lTag data is missing, and alignment became PID-driven rather than trajectory-based, increasing consistency across runs. The team also advanced two-piece autos and autoscoring capabilities, tuned turning and elevator behaviors, and introduced clearer project configurations for COMP and advantage scope testing. Vision pose updates and modular bindings cleanup laid groundwork for faster iteration and safer deployments.

January 2025

17 Commits • 5 Features

Jan 1, 2025

January 2025 (frc2423/2025) focused on stabilizing baseline configurations, enabling autonomous capabilities, and aligning the vision system with the 2025 season while improving hardware integration and drive control. Stories included baseline YAGSL project cleanup, autonomous scoring enhancements, vision system upgrades, LaserCAN enablement, and Swerve drive tuning.

Activity

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Quality Metrics

Correctness83.2%
Maintainability83.2%
Architecture80.0%
Performance77.2%
AI Usage20.4%

Skills & Technologies

Programming Languages

BashC++CSSGLTFGradleHTMLJSONJSXJavaJavaScript

Technical Skills

3D Modeling3D VisualizationAsset ManagementAutonomous AlignmentAutonomous NavigationAutonomous ProgrammingAutonomous RoutinesAutonomous SystemsAutonomous routinesBug FixingBuild System ConfigurationBuild SystemsCI/CD ConfigurationCalibrationCode Cleanup

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

frc2423/2025

Jan 2025 Sep 2025
7 Months active

Languages Used

C++GradleJavaMarkdownPythonShellXMLJSON

Technical Skills

Autonomous ProgrammingCI/CD ConfigurationCode CleanupCode FormattingCode RefactoringCommand-Based Framework