
Emily Yu developed advanced autonomous and control systems for the gwhs/2025-Reefscape robotics project, delivering sixteen features over seven months. She engineered alliance-aware scoring routines, automated path planning, and subsystem refactors to improve reliability and maintainability. Her work included implementing encoder-driven ground intake control, Choreo trajectory integration for autonomous navigation, and a modular elevator subsystem with real and simulated I/O. Using Java, C++, and embedded systems expertise, Emily focused on precise robot positioning, robust state management, and safer mechanical operation. The depth of her contributions is reflected in improved testing, streamlined debugging, and a codebase optimized for future enhancements.

September 2025: Delivered two key features in gwhs/2025-Reefscape, with a focus on precision control and autonomous navigation. Refactored constants to support the encoder-driven ground intake control and the new drive mode. Added Choreo trajectory support for autonomous navigation and integrated it with the FiveCycle autonomous command, enabling more reliable path execution and easier maintenance.
September 2025: Delivered two key features in gwhs/2025-Reefscape, with a focus on precision control and autonomous navigation. Refactored constants to support the encoder-driven ground intake control and the new drive mode. Added Choreo trajectory support for autonomous navigation and integrated it with the FiveCycle autonomous command, enabling more reliable path execution and easier maintenance.
Concise monthly summary for 2025-08 focusing on Reefscape ground intake motor control refactor and its impact.
Concise monthly summary for 2025-08 focusing on Reefscape ground intake motor control refactor and its impact.
July 2025 highlights for gwhs/2025-Reefscape: Delivered the automated scoring system using arm and elevator position goals, with a targeted refactor of the scoring triggers to use armGoal and elevatorGoal for improved precision and reliability. No separate major bugs fixed this month; reliability of the automated scoring path was strengthened through the trigger refactor. This work reduces manual scoring overhead and accelerates iteration cycles. Key commits: c9d35fc854e2423b7a5c1bf6b140ad62c29ff73a.
July 2025 highlights for gwhs/2025-Reefscape: Delivered the automated scoring system using arm and elevator position goals, with a targeted refactor of the scoring triggers to use armGoal and elevatorGoal for improved precision and reliability. No separate major bugs fixed this month; reliability of the automated scoring path was strengthened through the trigger refactor. This work reduces manual scoring overhead and accelerates iteration cycles. Key commits: c9d35fc854e2423b7a5c1bf6b140ad62c29ff73a.
April 2025 (2025-04) monthly summary for gwhs/2025-Reefscape focused on robot control system enhancements and reef-target navigation improvements. Implemented IDLE and INTAKE robot states with trigger-based transitions and added a backward drive command, enabling faster dealgae command execution. Reef-target navigation was improved via a new rotation center utility and an updated DriveCommand for REEF mode, increasing navigation precision and reliability for autonomous reef tasks. These changes reduce command latency and enhance operational safety, supporting higher throughput in reef-scape missions. Key commits include 436932f02b33d3dcf4edc4b1a6b9ec172b8d7204 (FasterDealgaeCommand #289) and 832154015ebb58bdd299e15040270a43c2b0cba9 (autofacereef #292). No standalone major bugs documented for this month’s scope.
April 2025 (2025-04) monthly summary for gwhs/2025-Reefscape focused on robot control system enhancements and reef-target navigation improvements. Implemented IDLE and INTAKE robot states with trigger-based transitions and added a backward drive command, enabling faster dealgae command execution. Reef-target navigation was improved via a new rotation center utility and an updated DriveCommand for REEF mode, increasing navigation precision and reliability for autonomous reef tasks. These changes reduce command latency and enhance operational safety, supporting higher throughput in reef-scape missions. Key commits include 436932f02b33d3dcf4edc4b1a6b9ec172b8d7204 (FasterDealgaeCommand #289) and 832154015ebb58bdd299e15040270a43c2b0cba9 (autofacereef #292). No standalone major bugs documented for this month’s scope.
March 2025 performance summary for gwhs/2025-Reefscape. Focused on advancing coral scoring accuracy, drivetrain reliability, and precise robot positioning. Delivered alliance-aware reef scoring enhancements with reef index utilities and dynamic offset calculations for arm angle and elevator height, plus a new PROCESSOR target mode for alliance-based scoring angle. Implemented comprehensive drivetrain diagnostics and tuning to improve debugging, reliability, and autonomous control. Refined positioning constants, offsets, PID gains, and current limits across arm, climb, elevator, and drivetrain, with added autonomous command option and elevator clamping.
March 2025 performance summary for gwhs/2025-Reefscape. Focused on advancing coral scoring accuracy, drivetrain reliability, and precise robot positioning. Delivered alliance-aware reef scoring enhancements with reef index utilities and dynamic offset calculations for arm angle and elevator height, plus a new PROCESSOR target mode for alliance-based scoring angle. Implemented comprehensive drivetrain diagnostics and tuning to improve debugging, reliability, and autonomous control. Refined positioning constants, offsets, PID gains, and current limits across arm, climb, elevator, and drivetrain, with added autonomous command option and elevator clamping.
February 2025 highlights for gwhs/2025-Reefscape: delivered autonomous capabilities, safer mechanical operation, enhanced telemetry, and clearer visibility into system state. Major deliverables include autonomous coral scoring automation integrated into existing cycles; driver quick reset to normal mode; elevator retrofit with differential mechanism and safety speed limits; CANcoder integration with improved arm/end-effector feedback; expanded diagnostics and trigger-state logging; and a fix to the Vision system AprilTagCam connection indicator. Global configuration tuning across subsystems was performed to improve performance and accuracy. These changes enable more reliable autonomous routines, safer operations under load, and faster debugging and tuning.
February 2025 highlights for gwhs/2025-Reefscape: delivered autonomous capabilities, safer mechanical operation, enhanced telemetry, and clearer visibility into system state. Major deliverables include autonomous coral scoring automation integrated into existing cycles; driver quick reset to normal mode; elevator retrofit with differential mechanism and safety speed limits; CANcoder integration with improved arm/end-effector feedback; expanded diagnostics and trigger-state logging; and a fix to the Vision system AprilTagCam connection indicator. Global configuration tuning across subsystems was performed to improve performance and accuracy. These changes enable more reliable autonomous routines, safer operations under load, and faster debugging and tuning.
January 2025 performance summary for gwhs/2025-Reefscape: Delivered foundational autonomous planning and elevator subsystem to support the 2025 season. Key outcomes include the establishment of autonomous path planning, drivetrain path configurations, and Five Cycle routines, along with corrections to autonomous command instantiation to improve reliability. Delivered a new Elevator Subsystem with real and simulated I/O, motor constants, RobotContainer integration, position control, logging, and homing capability. These changes enable repeatable autonomous behavior, improved testing across real and simulated environments, and a more maintainable codebase for the 2025 season.
January 2025 performance summary for gwhs/2025-Reefscape: Delivered foundational autonomous planning and elevator subsystem to support the 2025 season. Key outcomes include the establishment of autonomous path planning, drivetrain path configurations, and Five Cycle routines, along with corrections to autonomous command instantiation to improve reliability. Delivered a new Elevator Subsystem with real and simulated I/O, motor constants, RobotContainer integration, position control, logging, and homing capability. These changes enable repeatable autonomous behavior, improved testing across real and simulated environments, and a more maintainable codebase for the 2025 season.
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