OpenHUTB/nn
Sep 2025 – Dec 2025
4 Months active
Languages Used
MarkdownPythonXMLBash
Technical Skills
Code DocumentationControl SystemsMuJoCoPhysics EnginePhysics SimulationPython
qiqi678
PROFILE
Qiqi678
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
22Total
Bugs
0
Commits
22
Features
8
Lines of code
6,252
Activity Months4
Your Network
159 people
Work History
December 2025
6 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for OpenHUTB/nn: Delivered high-fidelity Zero-Gravity Humanoid Robot Simulation Improvements and integrated a deep learning gait controller, advancing test fidelity for AI locomotion policies. Enhanced observability with richer monitoring and metrics, and modernized the codebase to improve maintainability and ROS integration. These results reduce iteration time for policy validation and set a solid foundation for production-grade simulation workflows.
6 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for OpenHUTB/nn: Delivered high-fidelity Zero-Gravity Humanoid Robot Simulation Improvements and integrated a deep learning gait controller, advancing test fidelity for AI locomotion policies. Enhanced observability with richer monitoring and metrics, and modernized the codebase to improve maintainability and ROS integration. These results reduce iteration time for policy validation and set a solid foundation for production-grade simulation workflows.
December 2025
November 2025
6 Commits • 2 Features
Nov 1, 2025November 2025 OpenHUTB/nn monthly summary focusing on humanoid simulation enhancements and codebase maintenance to boost realism, testability, and developer productivity.
November 2025
6 Commits • 2 Features
Nov 1, 2025November 2025 OpenHUTB/nn monthly summary focusing on humanoid simulation enhancements and codebase maintenance to boost realism, testability, and developer productivity.
October 2025
6 Commits • 3 Features
Oct 1, 2025In Oct 2025, delivered a trio of navigation and control improvements for the OpenHUTB/nn repo, including corridor-based humanoid simulation testbed with GapsCorridor arena and a baseline random action policy, a go-to-target navigation environment with repository consolidation, and ROS-based humanoid simulation integration with nodes, launch configurations, and standing-up control. Repository cleanup and component consolidation reduced duplication and improved maintainability. The work advances end-to-end navigation testing, control policy development, and ROS-driven execution, accelerating iteration, testing, and deployment readiness.
6 Commits • 3 Features
Oct 1, 2025In Oct 2025, delivered a trio of navigation and control improvements for the OpenHUTB/nn repo, including corridor-based humanoid simulation testbed with GapsCorridor arena and a baseline random action policy, a go-to-target navigation environment with repository consolidation, and ROS-based humanoid simulation integration with nodes, launch configurations, and standing-up control. Repository cleanup and component consolidation reduced duplication and improved maintainability. The work advances end-to-end navigation testing, control policy development, and ROS-driven execution, accelerating iteration, testing, and deployment readiness.
October 2025
September 2025
4 Commits • 2 Features
Sep 1, 2025Month 2025-09 — OpenHUTB/nn development: Delivered a reusable MuJoCo-based humanoid robot simulation framework and an expanded DM_Control/MuJoCo test suite. Focused on rapid prototyping of locomotion and control algorithms with visualization and stakeholder-ready demonstrations. Improved project hygiene and merge readiness to enable scalable integration with other robotics modules. These efforts shortened prototyping cycles, expanded test scenarios, and produced clear, shareable assets for leadership and stakeholders.
September 2025
4 Commits • 2 Features
Sep 1, 2025Month 2025-09 — OpenHUTB/nn development: Delivered a reusable MuJoCo-based humanoid robot simulation framework and an expanded DM_Control/MuJoCo test suite. Focused on rapid prototyping of locomotion and control algorithms with visualization and stakeholder-ready demonstrations. Improved project hygiene and merge readiness to enable scalable integration with other robotics modules. These efforts shortened prototyping cycles, expanded test scenarios, and produced clear, shareable assets for leadership and stakeholders.
Activity
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Quality Metrics
Correctness84.0%
Maintainability81.8%
Architecture81.4%
Performance73.6%
AI Usage35.4%
Skills & Technologies
Programming Languages
BashMarkdownPythonXML
Technical Skills
Code DocumentationControl SystemsEnvironment DesignEnvironment SetupMuJoCoPhysics EnginePhysics SimulationPythonPython DevelopmentPython programmingPython scriptingROSReinforcement LearningReinforcement Learning Environment SetupRobotics
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