OpenHUTB/nn
Apr 2026 – Apr 2026
1 Month active
Languages Used
PythonXML
Technical Skills
3D modelingPython programmingXML configurationcontrol systemsroboticssimulation
jessamine
PROFILE
Jessamine
Worked on the OpenHUTB/nn repository to enhance humanoid robot simulation by delivering three core features focused on stability, interaction, and real-time feedback. Developed fall detection using optimized height thresholds and tuned gravity, friction, and joint parameters to improve standing and reduce simulation lag. Integrated a handheld load component with smooth arm lifting, leveraging continuous control signals for more realistic interaction. Added a sensor module supporting XML-based configuration and Python-driven data extraction, enabling real-time feedback loops. These efforts resulted in a more stable and realistic simulation environment, accelerating feature validation and supporting safer, more reliable control systems in robotics applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
3
Lines of code
253
Activity Months1
Your Network
263 peopleWork History
April 2026
7 Commits • 3 Features
Apr 1, 2026April 2026 (OpenHUTB/nn) monthly summary: Delivered three core features focused on stability, interaction, and real-time feedback for humanoid robot simulation. Key outcomes include improved fall detection with optimized height threshold, posture, gravity/friction parameters, and reduced simulation lag; seamless integration of handheld load component with smoother arm lifting; and a sensor module enabling XML-configured sensors and Python-based data reading for real-time feedback. These efforts, combined with tuning joint angle ranges and motor gear ratios, achieved more reliable standing and stability, smoother control signals via continuous data.ctrl signals, and a robust sensor feedback loop. Overall business value includes a more realistic, stable simulation environment that reduces debugging time, accelerates feature validation, and enables safer interactions with handheld payloads. Technologies demonstrated include physics parameter tuning (gravity, friction), continuous control signals (data.ctrl arrays), XML-based sensor configuration, Python data extraction, and real-time feedback loops.
7 Commits • 3 Features
Apr 1, 2026April 2026 (OpenHUTB/nn) monthly summary: Delivered three core features focused on stability, interaction, and real-time feedback for humanoid robot simulation. Key outcomes include improved fall detection with optimized height threshold, posture, gravity/friction parameters, and reduced simulation lag; seamless integration of handheld load component with smoother arm lifting; and a sensor module enabling XML-configured sensors and Python-based data reading for real-time feedback. These efforts, combined with tuning joint angle ranges and motor gear ratios, achieved more reliable standing and stability, smoother control signals via continuous data.ctrl signals, and a robust sensor feedback loop. Overall business value includes a more realistic, stable simulation environment that reduces debugging time, accelerates feature validation, and enables safer interactions with handheld payloads. Technologies demonstrated include physics parameter tuning (gravity, friction), continuous control signals (data.ctrl arrays), XML-based sensor configuration, Python data extraction, and real-time feedback loops.
April 2026
Activity
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Quality Metrics
Correctness85.8%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage34.2%
Skills & Technologies
Programming Languages
PythonXML
Technical Skills
3D modelingPython programmingXML configurationcontrol systemsroboticssimulation
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