
Lili Hershman developed core robotics features for the GreenBlitz/ReeeefScape2025-RobotCode repository, focusing on autonomous navigation, data ingestion, and subsystem modularity using Java and object-oriented programming. She modernized the data pipeline by introducing a DataAccumulator, refactored observation handling for safety and clarity, and standardized naming to align with WPILib conventions. Lili enhanced autonomous scoring by implementing field-relative mirroring and precise state machine controls, improving reliability across alliance sides. Additionally, she built a generic roller subsystem in GreenBlitz/GB-Robot-Template, supporting voltage and power control with simulation capabilities. Her work emphasized maintainability, code clarity, and robust, testable robotics programming.

In November 2025, delivered the Robotics Roller Subsystem feature for GreenBlitz/GB-Robot-Template. Implemented a generic roller subsystem with command handling for voltage and power control, position tracking, and simulation support. The work enhances modularity, testability, and reusability across robotics projects, reducing integration time and enabling faster validation in both real and simulated environments. Commit traceability established with a single change set.
In November 2025, delivered the Robotics Roller Subsystem feature for GreenBlitz/GB-Robot-Template. Implemented a generic roller subsystem with command handling for voltage and power control, position tracking, and simulation support. The work enhances modularity, testability, and reusability across robotics projects, reducing integration time and enabling faster validation in both real and simulated environments. Commit traceability established with a single change set.
June 2025 highlights: Delivered field-relative mirroring for autonomous navigation and scoring in GreenBlitz/ReeeefScape2025-RobotCode. Refactored driveToPreNet to use FieldMath.mirror for alliance-based position calculations, improving navigation accuracy and scoring alignment across field orientations. Change captured in commit 371007fd0d37845ff4aff3fc326a88ac4473abd8, with cross-team collaboration (tomer & hillel - net from both sides). Impact: increased reliability of autonomous paths and consistent scoring, enabling more predictable performance in competition scenarios. Demonstrated skills in field math, refactoring, and collaborative development.
June 2025 highlights: Delivered field-relative mirroring for autonomous navigation and scoring in GreenBlitz/ReeeefScape2025-RobotCode. Refactored driveToPreNet to use FieldMath.mirror for alliance-based position calculations, improving navigation accuracy and scoring alignment across field orientations. Change captured in commit 371007fd0d37845ff4aff3fc326a88ac4473abd8, with cross-team collaboration (tomer & hillel - net from both sides). Impact: increased reliability of autonomous paths and consistent scoring, enabling more predictable performance in competition scenarios. Demonstrated skills in field math, refactoring, and collaborative development.
May 2025 monthly summary for GreenBlitz/ReeeefScape2025-RobotCode: Delivered core net scoring improvements and NET state control enhancements, boosting autonomous scoring accuracy and reliability. Focused on clear constants and thresholds to enable faster tuning and safer behavior during net interactions. Achieved maintainability gains through naming clarity and centralized parameters.
May 2025 monthly summary for GreenBlitz/ReeeefScape2025-RobotCode: Delivered core net scoring improvements and NET state control enhancements, boosting autonomous scoring accuracy and reliability. Focused on clear constants and thresholds to enable faster tuning and safer behavior during net interactions. Achieved maintainability gains through naming clarity and centralized parameters.
December 2024: GreenBlitz/ReeeefScape2025-RobotCode — delivered core data ingestion enhancements and codebase discipline to improve reliability, maintainability, and business value of simulated observations. Key work includes data pipeline modernization with DataAccumulator replacing deprecated ObservationAccumulator, API modernization and standardization of getAccumulatedList, and a safety-focused data handling refactor, along with WPILib naming consistency across the codebase.
December 2024: GreenBlitz/ReeeefScape2025-RobotCode — delivered core data ingestion enhancements and codebase discipline to improve reliability, maintainability, and business value of simulated observations. Key work includes data pipeline modernization with DataAccumulator replacing deprecated ObservationAccumulator, API modernization and standardization of getAccumulatedList, and a safety-focused data handling refactor, along with WPILib naming consistency across the codebase.
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