menloresearch/mujoco-wasm
Jan 2025 – Mar 2025
3 Months active
Languages Used
C++CC#PythonUnity C#
Technical Skills
C++ DevelopmentCode RefactoringSoftware Engineering3D GraphicsAPI DesignC++
Tom Power
PROFILE
Tom Power
Worked on the menloresearch/mujoco-wasm repository, focusing on enhancing mesh processing, physics simulation, and developer tooling. Delivered a comprehensive refactor of the mesh pipeline in C++ to improve code readability and maintainability, introducing helper functions for inertia computation and rotation. Implemented shell inertia support for mesh assets, enabling more accurate mass distribution and robust validation for nested moving bodies. Improved XML export functionality by preserving mesh inertia values and supporting layered texture output. Developed new API endpoints for detaching default objects and fixed model attachment logic. Emphasized clear documentation, thorough testing, and maintainable code structure using C++, Python, and XML.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
7Total
Bugs
2
Commits
7
Features
4
Lines of code
1,515
Activity Months3
Your Network
4733 peopleSame Organization
@google.com4703
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Shared Repositories
30
Work History
March 2025
4 Commits • 2 Features
Mar 1, 2025Concise monthly summary for 2025-03 focused on the menloresearch/mujoco-wasm repository. Highlights delivered features, fixed bugs, and the resulting business value and technical impact.
4 Commits • 2 Features
Mar 1, 2025Concise monthly summary for 2025-03 focused on the menloresearch/mujoco-wasm repository. Highlights delivered features, fixed bugs, and the resulting business value and technical impact.
March 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for menloresearch/mujoco-wasm: Delivered shell inertia support for mesh assets, enabling mass concentration on surfaces; refactored inertia handling to be mesh-asset level; added error handling for invalid mesh volumes; updated documentation and internal structures to reflect the new model. Strengthened physics reliability and developer tooling with targeted refactors and clearer guidance.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for menloresearch/mujoco-wasm: Delivered shell inertia support for mesh assets, enabling mass concentration on surfaces; refactored inertia handling to be mesh-asset level; added error handling for invalid mesh volumes; updated documentation and internal structures to reflect the new model. Strengthened physics reliability and developer tooling with targeted refactors and clearer guidance.
January 2025
1 Commits • 1 Features
Jan 1, 20252025-01 Monthly Summary — menloresearch/mujoco-wasm Overview: Delivered a focused refactor of the mesh processing pipeline to improve readability and maintainability while preserving external behavior. Introduced new helper functions for inertia computation and rotation, and clarified volume validity checks. The work strengthens code quality, reduces future maintenance cost, and lays groundwork for performance improvements in physics processing. Business value: Safer, easier-to-review code with faster onboarding for new contributors; reduced risk of regressions in physics mesh handling; enables more rapid future iterations and optimizations with clear, centralized math utilities.
1 Commits • 1 Features
Jan 1, 20252025-01 Monthly Summary — menloresearch/mujoco-wasm Overview: Delivered a focused refactor of the mesh processing pipeline to improve readability and maintainability while preserving external behavior. Introduced new helper functions for inertia computation and rotation, and clarified volume validity checks. The work strengthens code quality, reduces future maintenance cost, and lays groundwork for performance improvements in physics processing. Business value: Safer, easier-to-review code with faster onboarding for new contributors; reduced risk of regressions in physics mesh handling; enables more rapid future iterations and optimizations with clear, centralized math utilities.
January 2025
Activity
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Quality Metrics
Correctness93.0%
Maintainability88.6%
Architecture87.2%
Performance72.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC#C++PythonUnity C#
Technical Skills
3D GraphicsAPI DesignAPI DevelopmentBuild SystemsC++C++ DevelopmentCode RefactoringDocumentationFile I/OPhysics Engine DevelopmentPhysics SimulationPythonSoftware DevelopmentSoftware EngineeringSoftware Testing
Repositories Contributed To
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