AndromedaOne/AndromedaOneCode
Dec 2024 – May 2025
5 Months active
Languages Used
JavaN/AconfC++JSONConfConfiguration
Technical Skills
Configuration ManagementJavaRobot ConfigurationSubsystem DevelopmentAutonomous NavigationAutonomous Systems
92SKraken
PROFILE
92skraken
Sebastian Ives developed advanced autonomous navigation and control features for the AndromedaOneCode robotics repository, focusing on both autonomous and teleoperated systems. Over five months, he delivered robust path planning upgrades, dynamic path generation, and refined drivetrain control, leveraging Java, C++, and WPILib. His work included integrating PathPlanner for reliable autonomous routines, enhancing pose estimation with sensor fusion, and implementing exponential input scaling for precise teleop driving. By restructuring configuration management and tuning PID controllers, Sebastian improved system maintainability and field reliability. The depth of his contributions enabled repeatable mission execution, reduced manual intervention, and established a strong foundation for future enhancements.
Overall Statistics
Feature vs Bugs
95%Features
Repository Contributions
54Total
Bugs
1
Commits
54
Features
19
Lines of code
8,627
Activity Months5
Your Network
10 people
Work History
May 2025
1 Commits • 1 Features
May 1, 2025Monthly summary for 2025-05: Delivered a drivetrain teleop control refinement in AndromedaOneCode to improve strafing and forward/backward movement through exponential input scaling and dynamic movement-vector recalculation based on magnitude and angle. This change enhances precision, responsiveness, and driver confidence during teleoperated driving, enabling smoother control in dynamic scenarios and easier tuning in subsequent sprints. Commit references are provided for traceability.
1 Commits • 1 Features
May 1, 2025Monthly summary for 2025-05: Delivered a drivetrain teleop control refinement in AndromedaOneCode to improve strafing and forward/backward movement through exponential input scaling and dynamic movement-vector recalculation based on magnitude and angle. This change enhances precision, responsiveness, and driver confidence during teleoperated driving, enabling smoother control in dynamic scenarios and easier tuning in subsequent sprints. Commit references are provided for traceability.
May 2025
March 2025
18 Commits • 4 Features
Mar 1, 2025March 2025: Delivered substantive autonomous and path-planning improvements across AndromedaOneCode. Implemented coral-station auto alignment enhancements, camera-angle adaptations, and standardized path/config workflows to improve path following and reliability. Expanded PathPlanner with new autonomous command groups and sequencing, plus safety constraints to cap velocity and enforce zero-velocity points. Tuned swerve drive (encoder-based movement) and climber speed for better control and throughput, with added back-ups and reliability improvements. Result: reduced manual intervention, higher mission success rates, and a stronger foundation for next-phase autonomous capabilities.
March 2025
18 Commits • 4 Features
Mar 1, 2025March 2025: Delivered substantive autonomous and path-planning improvements across AndromedaOneCode. Implemented coral-station auto alignment enhancements, camera-angle adaptations, and standardized path/config workflows to improve path following and reliability. Expanded PathPlanner with new autonomous command groups and sequencing, plus safety constraints to cap velocity and enforce zero-velocity points. Tuned swerve drive (encoder-based movement) and climber speed for better control and throughput, with added back-ups and reliability improvements. Result: reduced manual intervention, higher mission success rates, and a stronger foundation for next-phase autonomous capabilities.
February 2025
17 Commits • 12 Features
Feb 1, 2025February 2025 monthly summary for AndromedaOneCode (AndromedaOne/AndromedaOneCode) Key features delivered: - Auto #6 routine introduced and path correction: Adds new Auto #6 configuration and fixes the path reference by renaming to 'Drop At G No Vision' with a new path file to ensure correct execution. Commits: 5bb178c44ed92207fae7c854067cf568df2e4c7a; e838b749d901aabd3c57a853b3f182070897669d - Auto #2 sequencing delays: Adds 3-second waits into Auto #2 configuration and adjusts wait timing to improve sequential execution of path segments. Commits: 1832d71043d33b826914b47a4b441580d2944d0a; f2f80ef95c38d76b1ca440498128985c1e3cf777 - Pose estimation initialization robustness: Fixes initialization order to ensure PhotonVision and AprilTagFieldLayout load correctly before use, improving robustness of pose estimation. Commit: c2ac2061b6f01cda62b3b13c6e1bb6373fcaa81e - PathPlanner enhancements for coral placer and navigation: Adds coral placer path files and A-L navigation commands to drive to predefined locations, enabling repeatable automated placements and navigation. Commits: 017ecc28d220bdc3c64003bbd52426a4ee5e13b8; ccbb15234270aa87accbea863a6f4c39ed45f441 - Dynamic path generation and tuning: Enables dynamic path generation (PlaceAtC), adds currentPose2d support, and tunes path planning with FinishC integration and PID adjustments. Commits: 60053e895d7808cbb766a8178a53493cd9886829; fca1d585a4426ff577d6267d2cf814f6928850ca Major bugs fixed: - Resolved Auto #6 execution reference issues by correcting path naming and ensuring proper file loading. - Fixed Auto #2 wait timing to stabilize sequential path execution. - Hardened pose estimation startup by ensuring load order for PhotonVision and AprilTagFieldLayout. - Reduced path drift and ensured safe completion with velocity-zero guard and improved path sequencing. - Corrected teleop/auto path planner command integrations to prevent path mismatches. Overall impact and accomplishments: - Substantial boost in reliability and precision for autonomous navigation and scoring workflows. Enabled repeatable coral placements, robust pose estimation, and flexible on-the-fly path generation, significantly reducing manual intervention and increasing mission throughput. Technologies/skills demonstrated: - Advanced path planning and automation (PathPlanner: coral placer paths, A-L navigation commands, dynamic PlaceAtC paths) - Perception and localization robustness (PhotonVision, AprilTagFieldLayout load order) - Robotics control and sequencing (swerve drive stop, command groups, andThen, autonomous/teleop integration) - Scoring framework development and parallel execution capabilities - PID tuning and real-time path adaptation
17 Commits • 12 Features
Feb 1, 2025February 2025 monthly summary for AndromedaOneCode (AndromedaOne/AndromedaOneCode) Key features delivered: - Auto #6 routine introduced and path correction: Adds new Auto #6 configuration and fixes the path reference by renaming to 'Drop At G No Vision' with a new path file to ensure correct execution. Commits: 5bb178c44ed92207fae7c854067cf568df2e4c7a; e838b749d901aabd3c57a853b3f182070897669d - Auto #2 sequencing delays: Adds 3-second waits into Auto #2 configuration and adjusts wait timing to improve sequential execution of path segments. Commits: 1832d71043d33b826914b47a4b441580d2944d0a; f2f80ef95c38d76b1ca440498128985c1e3cf777 - Pose estimation initialization robustness: Fixes initialization order to ensure PhotonVision and AprilTagFieldLayout load correctly before use, improving robustness of pose estimation. Commit: c2ac2061b6f01cda62b3b13c6e1bb6373fcaa81e - PathPlanner enhancements for coral placer and navigation: Adds coral placer path files and A-L navigation commands to drive to predefined locations, enabling repeatable automated placements and navigation. Commits: 017ecc28d220bdc3c64003bbd52426a4ee5e13b8; ccbb15234270aa87accbea863a6f4c39ed45f441 - Dynamic path generation and tuning: Enables dynamic path generation (PlaceAtC), adds currentPose2d support, and tunes path planning with FinishC integration and PID adjustments. Commits: 60053e895d7808cbb766a8178a53493cd9886829; fca1d585a4426ff577d6267d2cf814f6928850ca Major bugs fixed: - Resolved Auto #6 execution reference issues by correcting path naming and ensuring proper file loading. - Fixed Auto #2 wait timing to stabilize sequential path execution. - Hardened pose estimation startup by ensuring load order for PhotonVision and AprilTagFieldLayout. - Reduced path drift and ensured safe completion with velocity-zero guard and improved path sequencing. - Corrected teleop/auto path planner command integrations to prevent path mismatches. Overall impact and accomplishments: - Substantial boost in reliability and precision for autonomous navigation and scoring workflows. Enabled repeatable coral placements, robust pose estimation, and flexible on-the-fly path generation, significantly reducing manual intervention and increasing mission throughput. Technologies/skills demonstrated: - Advanced path planning and automation (PathPlanner: coral placer paths, A-L navigation commands, dynamic PlaceAtC paths) - Perception and localization robustness (PhotonVision, AprilTagFieldLayout load order) - Robotics control and sequencing (swerve drive stop, command groups, andThen, autonomous/teleop integration) - Scoring framework development and parallel execution capabilities - PID tuning and real-time path adaptation
February 2025
January 2025
16 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focusing on delivery, reliability, and business impact for AndromedaOneCode. This month centered on upgrading the path planning framework to 2025, aligning WPILib compatibility, and expanding autonomous capabilities for the swervebot platform. Key work includes a comprehensive PathPlanner integration, odometry and rotation refinements, and the creation/expansion of autonomous routines. The work improves autonomous reliability, repeatability, and field readiness while tightening engineering discipline around configuration management and testing.
January 2025
16 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focusing on delivery, reliability, and business impact for AndromedaOneCode. This month centered on upgrading the path planning framework to 2025, aligning WPILib compatibility, and expanding autonomous capabilities for the swervebot platform. Key work includes a comprehensive PathPlanner integration, odometry and rotation refinements, and the creation/expansion of autonomous routines. The work improves autonomous reliability, repeatability, and field readiness while tightening engineering discipline around configuration management and testing.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024: Delivered Kraken motor support for the swerve drivetrain and completed critical fixes in the SwerveDriveTrain subsystem. These changes expand hardware options, improve path planning stability, and lay groundwork for easier future integrations, delivering both immediate functionality and long-term maintainability.
2 Commits • 1 Features
Dec 1, 2024December 2024: Delivered Kraken motor support for the swerve drivetrain and completed critical fixes in the SwerveDriveTrain subsystem. These changes expand hardware options, improve path planning stability, and lay groundwork for easier future integrations, delivering both immediate functionality and long-term maintainability.
December 2024
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Quality Metrics
Correctness83.8%
Maintainability84.8%
Architecture80.4%
Performance77.0%
AI Usage21.2%
Skills & Technologies
Programming Languages
C++ConfConfigurationJSONJavaN/Aconf
Technical Skills
Automation ScriptingAutonomous NavigationAutonomous ProgrammingAutonomous RoutinesAutonomous SystemsBuild SystemsCommand GroupsCommand-Based FrameworkConfigurationConfiguration FilesConfiguration ManagementControl SystemsEmbedded SystemsJavaJava Development
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