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Andrew Morell

PROFILE

Andrew Morell

Over three months, Andrew Morrell enhanced the AVSLab/basilisk simulation platform by developing advanced features for dynamic control and constrained dynamics analysis. He implemented modular effector architectures, enabling dynamic effectors to attach to spinning bodies and support multi-parent branching, which improved modeling fidelity and flexibility. Using C++ and Python, Andrew refactored state and property linking, integrated external force models, and expanded visualization and kinematic profiling capabilities. He also contributed to technical documentation and resolved a critical data capture regression. His work demonstrated depth in simulation development, object-oriented programming, and software testing, resulting in a more robust and extensible simulation environment.

Overall Statistics

Feature vs Bugs

88%Features

Repository Contributions

23Total
Bugs
1
Commits
23
Features
7
Lines of code
2,512
Activity Months3

Work History

October 2025

11 Commits • 2 Features

Oct 1, 2025

Monthly summary for 2025-10: Delivered key features advancing constrained dynamics analysis, improved visualization and documentation, and resolved a critical data capture regression. The work enhanced model fidelity, developer onboarding, and release readiness, delivering measurable business value through clearer capabilities, reliable telemetry, and robust test coverage.

September 2025

3 Commits • 2 Features

Sep 1, 2025

In September 2025, AVSLab/basilisk delivered key simulation enhancements that enable richer, more flexible experiments and streamline integration of external forces. The team introduced multi-parent attachment for constrain-based effectors, enabling branching configurations and complex attachments, and extended ExtForceTorque to attach to state effectors, increasing integration options for external dynamics. These changes include refactoring state and property linking to support multi-parent scenarios and added integrated tests to ensure reliability across scenarios. Together, these improvements improve modeling fidelity, reuse, and scalability for researchers and developers, while maintaining strong test coverage and maintainable design.

December 2024

9 Commits • 3 Features

Dec 1, 2024

Concise monthly summary for 2024-12 (AVSLab/basilisk): Delivered three core capabilities enhancing dynamic control and simulation fidelity on spinning bodies, with a focus on modular effector architectures and cross-effectors property management. No explicit major bugs reported this month; emphasis was on delivering robust features and integration points that unlock advanced control scenarios and accurate state propagation.

Activity

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Quality Metrics

Correctness88.6%
Maintainability88.6%
Architecture87.8%
Performance79.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++PythonRSTrst

Technical Skills

3D ModelingAerospace EngineeringC++C++ DevelopmentCode CommentingCode FormattingControl SystemsDocumentationDynamicsDynamics SimulationEigenExample DevelopmentIntegration TestingObject-Oriented ProgrammingPython

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

AVSLab/basilisk

Dec 2024 Oct 2025
3 Months active

Languages Used

C++PythonRSTrst

Technical Skills

C++C++ DevelopmentDynamicsDynamics SimulationEigenObject-Oriented Programming

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