
Nick Holasek developed a C++ thrust computation engine for six-axis control in the Cyclone-Robosub/Propulsion_2024_CPP repository, focusing on accurate force and moment allocation using matrix-based methods. He implemented multiple approaches, including pseudo-inverse and coefficient matrix solvers, and refactored the codebase to support SVD-based solutions. Nick validated the core computations for Fx, Fy, and Mz through a dedicated test suite, leveraging Python for coefficient generation and ensuring robust test coverage. He also addressed a CSV parsing bug by restoring correct row counting and maintained codebase integrity by reverting accidental test pushes, demonstrating strong C++ development and software testing skills.

Month: 2024-11 | Repository: Cyclone-Robosub/Propulsion_2024_CPP Key outcomes: - Delivered initial C++ thrust computation engine for six-axis control (Fx, Fy, Fz, Mx, My, Mz) with multiple implementations (pseudo-inverse, coefficient matrix, generalized solver). Implementations include thrust_compute_fx_fy_mz and thrust_compute_general, with refactors to support SVD/pseudo-inverse and an accompanying test suite validating Fx, Fy, and Mz computations. - Implemented and validated tests for thrust computations; used Python-assisted coefficient generation for the 8x6 matrix; added test case for fxfymz to ensure correctness. - Fixed CSV parsing row count bug by reverting change to include the last row in the count, restoring original behavior. - Maintained codebase stability by reverting accidental test code pushes to main, ensuring a clean main branch and traceable commits. Impact: - Improves propulsion accuracy and stability for six-axis control, reduces risk from numerical mapping errors, and provides a test-backed baseline for iterative improvements. Technologies/skills demonstrated: - C++ numerical computation (matrix-based thrust allocation) with pseudo-inverse and SVD considerations - Numerical linear algebra integration and test-driven validation - Cross-language tooling (initial Python-to-C++ translation groundwork) - Git hygiene and release discipline (reverts and test push hygiene)
Month: 2024-11 | Repository: Cyclone-Robosub/Propulsion_2024_CPP Key outcomes: - Delivered initial C++ thrust computation engine for six-axis control (Fx, Fy, Fz, Mx, My, Mz) with multiple implementations (pseudo-inverse, coefficient matrix, generalized solver). Implementations include thrust_compute_fx_fy_mz and thrust_compute_general, with refactors to support SVD/pseudo-inverse and an accompanying test suite validating Fx, Fy, and Mz computations. - Implemented and validated tests for thrust computations; used Python-assisted coefficient generation for the 8x6 matrix; added test case for fxfymz to ensure correctness. - Fixed CSV parsing row count bug by reverting change to include the last row in the count, restoring original behavior. - Maintained codebase stability by reverting accidental test code pushes to main, ensuring a clean main branch and traceable commits. Impact: - Improves propulsion accuracy and stability for six-axis control, reduces risk from numerical mapping errors, and provides a test-backed baseline for iterative improvements. Technologies/skills demonstrated: - C++ numerical computation (matrix-based thrust allocation) with pseudo-inverse and SVD considerations - Numerical linear algebra integration and test-driven validation - Cross-language tooling (initial Python-to-C++ translation groundwork) - Git hygiene and release discipline (reverts and test push hygiene)
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