
Angelica Sharma developed automation features for the ECLAIR-Robotics/PCR_Automation repository, focusing on hardware integration and code maintainability. She implemented a Python-based interface using pyserial to control Arduino-driven liquid handling, enabling serial communication for precise robotic commands. Her work included designing a PCR automation workflow with pseudocode-guided robotic arm planning, incorporating AprilTag detection, calibration, and safety checks to support scalable, repeatable experiments. Additionally, she improved code quality by refactoring and removing unused dependencies, reducing the deployment footprint. Throughout, Angelica applied skills in Python scripting, hardware control, and process improvement, delivering foundational automation architecture with clear documentation and maintainable code.

April 2025 monthly summary focusing on hardware integration and PCR automation. Delivered two major features that enable end-to-end automation: (1) Arduino-based hardware control interface implemented in Python with pyserial to manage serial communication and execute liquid-handling commands (e.g., get, eject); (2) PCR automation workflow design and robotic arm planning guided by pseudocode, covering AprilTag detection, calibration, distance calculation, and liquid manipulation, with pre-execution safety checks. These efforts establish a scalable foundation for automated experimentation and reduced manual intervention.
April 2025 monthly summary focusing on hardware integration and PCR automation. Delivered two major features that enable end-to-end automation: (1) Arduino-based hardware control interface implemented in Python with pyserial to manage serial communication and execute liquid-handling commands (e.g., get, eject); (2) PCR automation workflow design and robotic arm planning guided by pseudocode, covering AprilTag detection, calibration, distance calculation, and liquid manipulation, with pre-execution safety checks. These efforts establish a scalable foundation for automated experimentation and reduced manual intervention.
2024-10 monthly summary for ECLAIR-Robotics/PCR_Automation: Key feature delivered: Codebase cleanup removing an unused apriltag import from getMatrix.py, reducing dependencies and improving maintainability without changing functionality. No major bugs fixed this month. Overall impact: lighter deployment footprint, easier maintenance, and clearer codebase that supports future refactors; technologies/skills demonstrated: Python refactoring, dependency management, code quality practices, and traceable change history (commit 3a606790466808936fa6c7fa4397d8fec4f56997).
2024-10 monthly summary for ECLAIR-Robotics/PCR_Automation: Key feature delivered: Codebase cleanup removing an unused apriltag import from getMatrix.py, reducing dependencies and improving maintainability without changing functionality. No major bugs fixed this month. Overall impact: lighter deployment footprint, easier maintenance, and clearer codebase that supports future refactors; technologies/skills demonstrated: Python refactoring, dependency management, code quality practices, and traceable change history (commit 3a606790466808936fa6c7fa4397d8fec4f56997).
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