menloresearch/mujoco-wasm
Oct 2024 – Apr 2025
7 Months active
Languages Used
CC++PythonCSSHTMLJavaScriptC#rst
Technical Skills
C++Code FormattingCode StyleCollision DetectionData HandlingPhysics Simulation
Kyle Bayes
PROFILE
Kyle Bayes
Kyle Bayes developed core physics simulation features and collision detection enhancements for the menloresearch/mujoco-wasm repository, focusing on robust, high-performance WebAssembly-based simulations. Over seven months, he engineered improvements to the native continuous collision detection pipeline, including mesh and multi-contact support, numerical stability refinements, and expanded benchmarking. Working primarily in C and C++, Kyle implemented geometric algorithms such as GJK and EPA, optimized mesh processing with double-precision math, and improved XML parsing for simulation reliability. His work addressed edge-case bugs, enhanced test coverage, and enabled scalable, caching-ready workflows, demonstrating depth in low-level programming and computational geometry within a production environment.
Overall Statistics
Feature vs Bugs
58%Features
Repository Contributions
47Total
Bugs
8
Commits
47
Features
11
Lines of code
10,706
Activity Months7
Your Network
4184 people
Work History
April 2025
6 Commits • 1 Features
Apr 1, 2025April 2025: Delivered major enhancements to the Native Collision Detection (CCD) system in mujoco-wasm, delivering improved robustness, numerical stability, and performance for box-box interactions. Implemented new rayTriangle test, polytope refinement, horizon bug fix, numeric limit updates, removed pruning in box-box paths, and introduced comprehensive multi-CCD tests and benchmarks. Fixed critical edge-case bugs to improve simulation reliability and accuracy, with explicit commits aligned to these changes. Result: more reliable, precise, and faster physics in wasm builds, enabling safer real-time simulations and better user experience in downstream apps.
6 Commits • 1 Features
Apr 1, 2025April 2025: Delivered major enhancements to the Native Collision Detection (CCD) system in mujoco-wasm, delivering improved robustness, numerical stability, and performance for box-box interactions. Implemented new rayTriangle test, polytope refinement, horizon bug fix, numeric limit updates, removed pruning in box-box paths, and introduced comprehensive multi-CCD tests and benchmarks. Fixed critical edge-case bugs to improve simulation reliability and accuracy, with explicit commits aligned to these changes. Result: more reliable, precise, and faster physics in wasm builds, enabling safer real-time simulations and better user experience in downstream apps.
April 2025
March 2025
10 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for the menloresearch/mujoco-wasm repository focused on reliability, performance, and caching readiness. Delivered key enhancements across XML validation, mesh handling, and collision detection while expanding benchmarking and memory safety. All work aligns with business goals of faster, more robust wasm MuJoCo integration and a caching-ready data path.
March 2025
10 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for the menloresearch/mujoco-wasm repository focused on reliability, performance, and caching readiness. Delivered key enhancements across XML validation, mesh handling, and collision detection while expanding benchmarking and memory safety. All work aligns with business goals of faster, more robust wasm MuJoCo integration and a caching-ready data path.
February 2025
11 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary focusing on key accomplishments in mujoco-wasm: delivering a robust native CCD collision detection pipeline with mesh and multi-contact support, improved EPA numerical stability, and default-pipeline Margin handling enhancements. These changes increase simulation accuracy, stability, and reliability for complex contact scenarios and mesh-based geometries, enabling more realistic physics with fewer edge-case failures.
11 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary focusing on key accomplishments in mujoco-wasm: delivering a robust native CCD collision detection pipeline with mesh and multi-contact support, improved EPA numerical stability, and default-pipeline Margin handling enhancements. These changes increase simulation accuracy, stability, and reliability for complex contact scenarios and mesh-based geometries, enabling more realistic physics with fewer edge-case failures.
February 2025
January 2025
6 Commits • 1 Features
Jan 1, 2025January 2025: Feature delivery and bug fixes in menloresearch/mujoco-wasm focusing on enhanced NativeCCD box-box collision handling, multi-contact support, and numerical stability. The work improved collision accuracy, reporting, and stability for WASM-based physics simulations, enabling more realistic multi-contact scenarios in browser deployments. Key outcomes include centralized mjc_BoxBox, robust validation for edge/corner cases, stabilized GJK/EPA return semantics, and fixes for float32 numerical inaccuracies affecting EPA horizons.
January 2025
6 Commits • 1 Features
Jan 1, 2025January 2025: Feature delivery and bug fixes in menloresearch/mujoco-wasm focusing on enhanced NativeCCD box-box collision handling, multi-contact support, and numerical stability. The work improved collision accuracy, reporting, and stability for WASM-based physics simulations, enabling more realistic multi-contact scenarios in browser deployments. Key outcomes include centralized mjc_BoxBox, robust validation for edge/corner cases, stabilized GJK/EPA return semantics, and fixes for float32 numerical inaccuracies affecting EPA horizons.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024: Strengthened collision detection accuracy, robustness, and performance in the menloresearch/mujoco-wasm repository. Delivered targeted physics improvements that enhance reliability of WASM-based simulations and lay groundwork for more stable cross-geometry interactions.
2 Commits • 1 Features
Dec 1, 2024December 2024: Strengthened collision detection accuracy, robustness, and performance in the menloresearch/mujoco-wasm repository. Delivered targeted physics improvements that enhance reliability of WASM-based simulations and lay groundwork for more stable cross-geometry interactions.
December 2024
November 2024
9 Commits • 2 Features
Nov 1, 2024November 2024 – Menloresearch Mujoco-WASM: Delivered API traceability improvements and robust collision-detection enhancements for production-ready WebAssembly physics simulations. Key outcomes include API docs with source links and anchors, a major native CCD overhaul supporting multi-contact scenarios, and a strengthened GJK/MJCCD stack, along with cross-architecture test reliability improvements in CI.
November 2024
9 Commits • 2 Features
Nov 1, 2024November 2024 – Menloresearch Mujoco-WASM: Delivered API traceability improvements and robust collision-detection enhancements for production-ready WebAssembly physics simulations. Key outcomes include API docs with source links and anchors, a major native CCD overhaul supporting multi-contact scenarios, and a strengthened GJK/MJCCD stack, along with cross-architecture test reliability improvements in CI.
October 2024
3 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for menloresearch/mujoco-wasm focused on stability, scalability, and maintainability of the wasm-based physics engine. Implemented targeted collision robustness improvements, expanded data handling capabilities for keyframe attributes, and enhanced code readability to support long-term maintainability and faster development cycles.
3 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for menloresearch/mujoco-wasm focused on stability, scalability, and maintainability of the wasm-based physics engine. Implemented targeted collision robustness improvements, expanded data handling capabilities for keyframe attributes, and enhanced code readability to support long-term maintainability and faster development cycles.
October 2024
Activity
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Quality Metrics
Correctness87.8%
Maintainability84.6%
Architecture85.0%
Performance80.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC#C++CSSHTMLJavaScriptPythonrst
Technical Skills
API DesignAPI DevelopmentAlgorithm ImplementationAlgorithm OptimizationBenchmarkingBug FixBuild SystemsCC DevelopmentC ProgrammingC++C++ DevelopmentC++ ProgrammingC/C++ DevelopmentCSS
Repositories Contributed To
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