Andrew Ge developed advanced control and subsystem features for the Team-Optix-3749/Team-3749-2025 robotics repository over a two-month period. He overhauled the elevator control system using Java and Gradle, implementing a state machine with predefined height targets and PID tuning to improve accuracy and safety. Andrew also introduced coordinated command sequences for manipulator and elevator actions, enabling synchronized multi-mechanism operations. His work included system identification routines for both elevator and rotational mechanisms, enhancing testing and calibration. By refactoring state management and integrating robust logging, Andrew improved reliability, configurability, and maintainability, demonstrating depth in robotics software development and embedded systems.
February 2025 (2025-02) monthly summary for Team-Optix-3749/Team-3749-2025. Key outcomes: three core features delivered with business value: Rotational System Identification Command Deployment, Arm Scoring and Positioning Enhancements, and Elevator Control Modernization with MAX/STOW States. These changes enable more accurate system identification during rotational tests, improved arm scoring and alignment, and more reliable elevator behavior with clearly defined heights. Major bugs fixed: none reported this month. Overall impact and accomplishments: improved control fidelity, testing coverage, and configurability; faster setup and test cycles; clearer state transitions that reduce operator effort. Technologies/skills demonstrated: SysId integration, kinematics tuning, 2D CoralArm control, state-machine refactoring, and robust elevator state management.
February 2025 (2025-02) monthly summary for Team-Optix-3749/Team-3749-2025. Key outcomes: three core features delivered with business value: Rotational System Identification Command Deployment, Arm Scoring and Positioning Enhancements, and Elevator Control Modernization with MAX/STOW States. These changes enable more accurate system identification during rotational tests, improved arm scoring and alignment, and more reliable elevator behavior with clearly defined heights. Major bugs fixed: none reported this month. Overall impact and accomplishments: improved control fidelity, testing coverage, and configurability; faster setup and test cycles; clearer state transitions that reduce operator effort. Technologies/skills demonstrated: SysId integration, kinematics tuning, 2D CoralArm control, state-machine refactoring, and robust elevator state management.
January 2025 monthly summary focusing on delivering a robust elevator and manipulation subsystem, enabling safer operations, improved control accuracy, and better system identification.
January 2025 monthly summary focusing on delivering a robust elevator and manipulation subsystem, enabling safer operations, improved control accuracy, and better system identification.
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