
During October 2025, Park developed the Packee Arm Controller Core in the addinedu-roscamp-7th/roscamp-repo-1 repository, delivering dual-arm visual servoing with ROS 2 integration and hardware adapters for JetCobot and myCobot. Park designed an IBVS-based control architecture, defined service interfaces, and documented execution flows and testing strategies to support scalable multi-arm automation. Using C++, Python, and CMake, Park enhanced the mock testing framework to simulate realistic multi-arm scenarios and improved build hygiene by refining metadata and onboarding documentation. This work established a robust, testable foundation for future arm control features, reducing integration risk and accelerating development cycles.

October 2025 performance highlights: Delivered the Packee Arm Controller Core with ROS 2 integration and dual-arm visual servoing, including JetCobot/myCobot adapters and a foundational communication bridge. Completed Planning, Design, and Documentation for the Packee Arm, detailing IBVS-based control, interfaces, service definitions, execution flows, and testing strategies. Enhanced mock testing for multi-arm configurations to improve realism and regression coverage. Improved build and tooling hygiene via cleanup of build metadata and updated README/tests, accelerating onboarding and future iterations. Business impact: provides a scalable, testable foundation for multi-arm automation, reduces integration risk, and enables faster delivery of robust arm control features.
October 2025 performance highlights: Delivered the Packee Arm Controller Core with ROS 2 integration and dual-arm visual servoing, including JetCobot/myCobot adapters and a foundational communication bridge. Completed Planning, Design, and Documentation for the Packee Arm, detailing IBVS-based control, interfaces, service definitions, execution flows, and testing strategies. Enhanced mock testing for multi-arm configurations to improve realism and regression coverage. Improved build and tooling hygiene via cleanup of build metadata and updated README/tests, accelerating onboarding and future iterations. Business impact: provides a scalable, testable foundation for multi-arm automation, reduces integration risk, and enables faster delivery of robust arm control features.
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