SwerveRobotics/FtcRobotController
Nov 2024 – Mar 2025
4 Months active
Languages Used
Java
Technical Skills
Autonomous NavigationAutonomous ProgrammingEmbedded SystemsFTCJavaPID Control
anya-codes
PROFILE
Anya-codes
Anya Rajyaguru developed and refined autonomous navigation and specimen handling features for the SwerveRobotics/FtcRobotController repository over four months, focusing on Java-based robotics and embedded systems. She implemented dimension-aware path planning, coordinated slide and dumper mechanisms, and introduced simulation tools to model hardware behavior before assembly. Her work included tuning MecanumDrive parameters, updating odometry for reliable navigation, and enhancing control systems for precise sample intake and scoring. By aligning software logic with evolving hardware states and improving development tooling, Anya increased autonomous reliability, reduced debugging time, and established scalable workflows, demonstrating depth in motion planning, state machines, and robotics programming.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
18Total
Bugs
1
Commits
18
Features
7
Lines of code
853
Activity Months4
Your Network
6 people
Work History
March 2025
1 Commits • 1 Features
Mar 1, 2025Month: 2025-03 — Focused on hardware-software alignment for the robot arm and dumper, delivering a targeted feature enhancement to improve vertical sample intake and transfer precision. Updated constants and control flow to reflect new dumper positions, and removed an outdated isTransferring check to prevent mismatch with hardware state. This release strengthens end-effector reliability and supports higher throughput in sample handling.
1 Commits • 1 Features
Mar 1, 2025Month: 2025-03 — Focused on hardware-software alignment for the robot arm and dumper, delivering a targeted feature enhancement to improve vertical sample intake and transfer precision. Updated constants and control flow to reflect new dumper positions, and removed an outdated isTransferring check to prevent mismatch with hardware state. This release strengthens end-effector reliability and supports higher throughput in sample handling.
March 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 focused on advancing autonomous specimen handling and scoring for the FtcRobotController. Delivered new autonomous scoring behaviors, updated dimension-aware constants, and introduced routines for preloaded specimen placement and multi-sample collection. These changes improve autonomous reliability, scoring accuracy, and throughput, enabling more efficient competition runs and better alignment with robot capabilities. The work establishes a solid foundation for higher autonomous performance and scalable specimen handling workflows.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 focused on advancing autonomous specimen handling and scoring for the FtcRobotController. Delivered new autonomous scoring behaviors, updated dimension-aware constants, and introduced routines for preloaded specimen placement and multi-sample collection. These changes improve autonomous reliability, scoring accuracy, and throughput, enabling more efficient competition runs and better alignment with robot capabilities. The work establishes a solid foundation for higher autonomous performance and scalable specimen handling workflows.
December 2024
11 Commits • 2 Features
Dec 1, 2024Consolidated December 2024 outcomes for SwerveRobotics/FtcRobotController: The team delivered substantive autonomous improvements and streamlined development workflows. Key autonomy work included refined path coordinates and odometry (pinwheel drive) to align with the high basket, and integration of preloaded sample handling to improve reliability and cycle time in autonomous runs. Iterative commits refined coordinates (including first preloaded sample auto and final path tuning) and updated odometry parameters for stable navigation. In parallel, targeted bug fixes removed simulator-related code, added a protective timeout for slide motor actions to avoid stalling, improving robustness in both test and simulated environments. Development tooling was enhanced with a new ADB utility and parameter tuning to accelerate debugging and iteration. Impact: higher autonomous scoring reliability, reduced downtime due to simulator issues, and faster delivery of improvements to business-facing goals.
11 Commits • 2 Features
Dec 1, 2024Consolidated December 2024 outcomes for SwerveRobotics/FtcRobotController: The team delivered substantive autonomous improvements and streamlined development workflows. Key autonomy work included refined path coordinates and odometry (pinwheel drive) to align with the high basket, and integration of preloaded sample handling to improve reliability and cycle time in autonomous runs. Iterative commits refined coordinates (including first preloaded sample auto and final path tuning) and updated odometry parameters for stable navigation. In parallel, targeted bug fixes removed simulator-related code, added a protective timeout for slide motor actions to avoid stalling, improving robustness in both test and simulated environments. Development tooling was enhanced with a new ADB utility and parameter tuning to accelerate debugging and iteration. Impact: higher autonomous scoring reliability, reduced downtime due to simulator issues, and faster delivery of improvements to business-facing goals.
December 2024
November 2024
4 Commits • 3 Features
Nov 1, 2024November 2024 delivered notable end-to-end improvements for SwerveRobotics/FtcRobotController with a focus on autonomous accuracy, testing efficiency, and clearer system semantics. Key features introduced include autonomous driving improvements with refined strafing path and MecanumDrive tuning, a mechanism simulator for slide and dumper to enable pre-assembly movement modeling and FTC Dashboard visualization, and servo elbow tuning with mode renaming to reduce ambiguity. These efforts enhanced autonomous reliability, reduced development cycle time, and clarified hardware/behavior mappings, positioning the team for faster iteration and robust competition readiness.
November 2024
4 Commits • 3 Features
Nov 1, 2024November 2024 delivered notable end-to-end improvements for SwerveRobotics/FtcRobotController with a focus on autonomous accuracy, testing efficiency, and clearer system semantics. Key features introduced include autonomous driving improvements with refined strafing path and MecanumDrive tuning, a mechanism simulator for slide and dumper to enable pre-assembly movement modeling and FTC Dashboard visualization, and servo elbow tuning with mode renaming to reduce ambiguity. These efforts enhanced autonomous reliability, reduced development cycle time, and clarified hardware/behavior mappings, positioning the team for faster iteration and robust competition readiness.
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Quality Metrics
Correctness77.8%
Maintainability81.2%
Architecture73.4%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
Android DevelopmentAutonomous NavigationAutonomous ProgrammingControl SystemsEmbedded SystemsFTCJavaMotion PlanningOdometry TuningPID ControlRobot ProgrammingRoboticsSimulationState MachinesTrajectory Generation
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