menloresearch/mujoco-wasm
Jan 2025 – Jan 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Code ReviewData VisualizationDocumentationJupyter NotebookMatplotlibPython Development
Andrea Gesmundo
PROFILE
Andrea Gesmundo
Worked on the menloresearch/mujoco-wasm repository to enhance the reliability and usability of Mujoco-WASM tutorials. Focused on improving tutorial notebook readability and documentation, addressing issues with plot legends by replacing dynamic timestep values with static axis labels for clarity. Corrected simulation attachment logic by ensuring proper use of the attach_body() API, reducing the risk of runtime errors. Applied Python and Jupyter Notebook skills to refine code hygiene, clarify data conversion notes, and clean up metadata. These updates improved user experience, reduced onboarding friction, and lowered support overhead, contributing to the maintainability and robustness of the tutorial environment.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
1
Lines of code
28
Activity Months1
Your Network
4733 peopleSame Organization
@google.com4703
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Craig IngramMember
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Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Shared Repositories
30
Work History
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for menloresearch/mujoco-wasm focusing on delivering reliability, documentation quality, and API correctness in the Mujoco-WASM tutorials: - Key features delivered: improved tutorial notebook readability and documentation; corrected legend labeling in tutorial plots; ensured robust simulation attachment API usage. - Major bugs fixed: tutorial notebook plot labels now reflect the correct data series; simulation attachment logic fixed by using attach_body() when a body is the first argument; minor typo fixes in code comments. - Overall impact: enhanced user experience for tutorials, reduced risk of runtime errors in simulations, and improved maintainability of the repo; business value includes smoother onboarding for users and lower support overhead. - Technologies/skills demonstrated: Python, Jupyter notebook enhancements, API usage patterns, code hygiene, and documentation improvements.
4 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for menloresearch/mujoco-wasm focusing on delivering reliability, documentation quality, and API correctness in the Mujoco-WASM tutorials: - Key features delivered: improved tutorial notebook readability and documentation; corrected legend labeling in tutorial plots; ensured robust simulation attachment API usage. - Major bugs fixed: tutorial notebook plot labels now reflect the correct data series; simulation attachment logic fixed by using attach_body() when a body is the first argument; minor typo fixes in code comments. - Overall impact: enhanced user experience for tutorials, reduced risk of runtime errors in simulations, and improved maintainability of the repo; business value includes smoother onboarding for users and lower support overhead. - Technologies/skills demonstrated: Python, Jupyter notebook enhancements, API usage patterns, code hygiene, and documentation improvements.
January 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Code ReviewData VisualizationDocumentationJupyter NotebookMatplotlibPython DevelopmentSimulation
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