Over four months, Forest developed advanced autonomous navigation and control features for the AndromedaOneCode repository, focusing on robust robot localization, path planning, and drivetrain flexibility. Leveraging Java, embedded systems, and computer vision, Forest integrated AprilTag-based pose estimation with multi-camera support and PhotonVision, enabling reliable field localization and odometry. He enhanced autonomous routines with parallel path and arm execution, refined PID-based motion control, and introduced telemetry for debugging. Forest addressed hardware integration by supporting mixed motor types in the swerve drivetrain and maintained build health through configuration management. The work demonstrated depth in robotics software engineering and iterative problem-solving.
December 2025 monthly summary for AndromedaOneCode. Focused on expanding drivetrain flexibility and maintaining build health, with clear business value in hardware-agnostic motor support and smoother integration of future motor types. A non-compiling TalonFX controller class was identified as an blocking issue and is being addressed in the next cycle.
December 2025 monthly summary for AndromedaOneCode. Focused on expanding drivetrain flexibility and maintaining build health, with clear business value in hardware-agnostic motor support and smoother integration of future motor types. A non-compiling TalonFX controller class was identified as an blocking issue and is being addressed in the next cycle.
March 2025 was focused on stabilizing motion control, increasing autonomous reliability, and boosting algae manipulation efficiency across the AndromedaOneCode repo. Key autonomous reliability improvements include a WaitForTag-based synchronization for AprilTag paths and refined path planning coordinates to improve navigation around game elements. Core encoder and state-machine robustness also received targeted fixes to reduce overshoot and improve movement fidelity. Telemetry support was added to support debugging of end effector rotation (with notes on an incomplete fix), and teleop stability improvements were achieved via gyro-based tuning. Overall, the month delivered measurable business value through more reliable autonomous operation, faster algae collection cycles, and clearer debugging telemetry for faster iteration. Key features delivered and enhancements: - AprilTag-based path following synchronization (WaitForTag) to verify tags before movement for higher autonomous reliability. - Path planner coordinate refinements to fine-tune robot movement and interaction with game elements. - MoveUsingEncoder PID tuning (Kp) and related movement adjustments to improve forward progression and consistency. - Teleop wiggle suppression by setting gyroMove P to 0.0, reducing unintended teleop oscillations. - Algaemanipulator wheel speed tuning to increase intake/eject rates and improve algae collection/expulsion efficiency. Major bugs fixed: - Coral handling state machine stability: corrected encoder interpretation to prevent overshoot and multiple transitions per cycle (commit 8e6f76d79386ef96019e74224e45a4cad26be000). - Kraken encoder corrections for accurate movement: fixed encoder distance/angle interpretation and corrected positive distance calculation (commits 3ae8716e0373c69c5d560f2bb18367f221c72457 and 03112f0cfbeb3355b6da60760dc491a0b49bb872). - End effector rotation calibration and debugging telemetry: added telemetry to display raw encoder values in degrees and radians; note this is an incomplete fix (commit 6f9dfced854389e409da9cfcee54143d5fbf1e94). - Teleop and movement stability improvements include the gyro-based tuning above. Overall impact and accomplishments: - Improved autonomous reliability and predictive movement, leading to more consistent task execution in autonomous mode. - Enhanced debugging capabilities with telemetry, enabling faster iteration on calibration issues. - Increased algae collection efficiency via faster wheel speeds and more reliable capture/expulsion cycles. Technologies/skills demonstrated: - Encoder interpretation and PID-based movement tuning - Path planning and coordinate refinement - AprilTag-based synchronization and WaitForTag logic - Telemetry instrumentation for debugging rotational alignment - Teleop stability tuning using gyro control
March 2025 was focused on stabilizing motion control, increasing autonomous reliability, and boosting algae manipulation efficiency across the AndromedaOneCode repo. Key autonomous reliability improvements include a WaitForTag-based synchronization for AprilTag paths and refined path planning coordinates to improve navigation around game elements. Core encoder and state-machine robustness also received targeted fixes to reduce overshoot and improve movement fidelity. Telemetry support was added to support debugging of end effector rotation (with notes on an incomplete fix), and teleop stability improvements were achieved via gyro-based tuning. Overall, the month delivered measurable business value through more reliable autonomous operation, faster algae collection cycles, and clearer debugging telemetry for faster iteration. Key features delivered and enhancements: - AprilTag-based path following synchronization (WaitForTag) to verify tags before movement for higher autonomous reliability. - Path planner coordinate refinements to fine-tune robot movement and interaction with game elements. - MoveUsingEncoder PID tuning (Kp) and related movement adjustments to improve forward progression and consistency. - Teleop wiggle suppression by setting gyroMove P to 0.0, reducing unintended teleop oscillations. - Algaemanipulator wheel speed tuning to increase intake/eject rates and improve algae collection/expulsion efficiency. Major bugs fixed: - Coral handling state machine stability: corrected encoder interpretation to prevent overshoot and multiple transitions per cycle (commit 8e6f76d79386ef96019e74224e45a4cad26be000). - Kraken encoder corrections for accurate movement: fixed encoder distance/angle interpretation and corrected positive distance calculation (commits 3ae8716e0373c69c5d560f2bb18367f221c72457 and 03112f0cfbeb3355b6da60760dc491a0b49bb872). - End effector rotation calibration and debugging telemetry: added telemetry to display raw encoder values in degrees and radians; note this is an incomplete fix (commit 6f9dfced854389e409da9cfcee54143d5fbf1e94). - Teleop and movement stability improvements include the gyro-based tuning above. Overall impact and accomplishments: - Improved autonomous reliability and predictive movement, leading to more consistent task execution in autonomous mode. - Enhanced debugging capabilities with telemetry, enabling faster iteration on calibration issues. - Increased algae collection efficiency via faster wheel speeds and more reliable capture/expulsion cycles. Technologies/skills demonstrated: - Encoder interpretation and PID-based movement tuning - Path planning and coordinate refinement - AprilTag-based synchronization and WaitForTag logic - Telemetry instrumentation for debugging rotational alignment - Teleop stability tuning using gyro control
February 2025 performance summary for AndromedaOneCode focusing on delivering measurable business value through autonomous capability, operator tooling, and robust perception/camera configuration. Key achievements include delivering autonomous navigation and coral handling enhancements with parallel path and arm execution, improving reliability and throughput for coral loading/picking tasks. Tele-operated coral scoring improvements added cancelable teleop commands and dual-controller rumble feedback, enhancing operator control and responsiveness. Localization, perception, and camera configuration enhancements introduced alliance-odometry integration, region-based location display, and refined camera field configuration, improving situational awareness and accuracy. Critical SBSD camera/configuration baseline issues were addressed, clarifying camera integration requirements and stabilizing baseline behavior while enabling future full integration.
February 2025 performance summary for AndromedaOneCode focusing on delivering measurable business value through autonomous capability, operator tooling, and robust perception/camera configuration. Key achievements include delivering autonomous navigation and coral handling enhancements with parallel path and arm execution, improving reliability and throughput for coral loading/picking tasks. Tele-operated coral scoring improvements added cancelable teleop commands and dual-controller rumble feedback, enhancing operator control and responsiveness. Localization, perception, and camera configuration enhancements introduced alliance-odometry integration, region-based location display, and refined camera field configuration, improving situational awareness and accuracy. Critical SBSD camera/configuration baseline issues were addressed, clarifying camera integration requirements and stabilizing baseline behavior while enabling future full integration.
January 2025 highlights for AndromedaOneCode: Implemented robust vision-based pose estimation with AprilTag field layouts, PhotonVision integration, and multi-camera support, including odometry publication and field layout loading. Added manual odometry pose control via SmartDashboard and a vision usage toggle for pose estimation to speed testing and calibration. Expanded autonomous capabilities with path planning enhancements, including a Spinner command and OttoOneTest, with refined pose estimation usage during planning. Fixed critical drive motor encoder offset for Kraken swerve modules to ensure reliable odometry across resets. Delivered ongoing code quality improvements and camera/config updates to support stable operation and faster iteration.
January 2025 highlights for AndromedaOneCode: Implemented robust vision-based pose estimation with AprilTag field layouts, PhotonVision integration, and multi-camera support, including odometry publication and field layout loading. Added manual odometry pose control via SmartDashboard and a vision usage toggle for pose estimation to speed testing and calibration. Expanded autonomous capabilities with path planning enhancements, including a Spinner command and OttoOneTest, with refined pose estimation usage during planning. Fixed critical drive motor encoder offset for Kraken swerve modules to ensure reliable odometry across resets. Delivered ongoing code quality improvements and camera/config updates to support stable operation and faster iteration.
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