OpenHUTB/nn
Apr 2026 – May 2026
2 Months active
Languages Used
PythonXML
Technical Skills
MuJoCoPythonPython programmingalgorithm developmentbug fixingcollision detection
Yang-de-art
PROFILE
Yang-de-art
Over a two-month period, contributed to OpenHUTB/nn by developing advanced robotics simulation and reinforcement learning environments. Built a MuJoCo-based 5-DOF robotic arm controller and an enhanced humanoid robot simulation, focusing on kinematics, trajectory planning, and runtime stability. Improved code maintainability through architectural refactoring, documentation updates, and naming consistency. Enhanced reliability by addressing execution blockers and refining error handling. Introduced a humanoid robot training model and RL environment, enabling faster experimentation and robust training workflows. Leveraged Python and XML for simulation scripting, performance optimization, and control systems, establishing a solid foundation for scalable robotics research and production RL pipelines.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
3
Lines of code
6,424
Activity Months2
Your Network
263 peopleWork History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 highlights: Delivered a next‑generation humanoid robot training model and reinforcement learning (RL) environment for OpenHUTB/nn, with improved arm kinematics and performance optimization. Strengthened reliability through targeted fixes, enhanced error handling and diagnostics, and expanded documentation to accelerate onboarding. These efforts enable faster experiments, more robust training iterations, and a solid foundation for production RL workflows.
1 Commits • 1 Features
May 1, 2026May 2026 highlights: Delivered a next‑generation humanoid robot training model and reinforcement learning (RL) environment for OpenHUTB/nn, with improved arm kinematics and performance optimization. Strengthened reliability through targeted fixes, enhanced error handling and diagnostics, and expanded documentation to accelerate onboarding. These efforts enable faster experiments, more robust training iterations, and a solid foundation for production RL workflows.
May 2026
April 2026
11 Commits • 2 Features
Apr 1, 2026April 2026 (OpenHUTB/nn) delivered robust robotics simulation capabilities with clear business impact: a MuJoCo-backed 5-DOF robotic arm controller and an enhanced humanoid robot simulation. The work emphasizes reliability, performance, and maintainability to accelerate testing, prototyping, and demonstration readiness. Key activities included architectural refactors, cross-version compatibility, kinematics/trajectory improvements, comprehensive documentation updates, and targeted bug fixes to stabilize the simulation stack.
April 2026
11 Commits • 2 Features
Apr 1, 2026April 2026 (OpenHUTB/nn) delivered robust robotics simulation capabilities with clear business impact: a MuJoCo-backed 5-DOF robotic arm controller and an enhanced humanoid robot simulation. The work emphasizes reliability, performance, and maintainability to accelerate testing, prototyping, and demonstration readiness. Key activities included architectural refactors, cross-version compatibility, kinematics/trajectory improvements, comprehensive documentation updates, and targeted bug fixes to stabilize the simulation stack.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage46.6%
Skills & Technologies
Programming Languages
PythonXML
Technical Skills
MuJoCoPythonPython programmingalgorithm developmentbug fixingcollision detectioncontrol systemsdocumentationerror handlingkinematicsmachine learningperformance optimizationreinforcement learningroboticssimulation
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