neurobionics/opensourceleg
Jan 2026 – Feb 2026
2 Months active
Languages Used
Python
Technical Skills
CAN bus communicationDocumentationIMU data processingIMU programmingKalman filterKalman filter implementation
Katharine Walters
PROFILE
Katharine Walters
Contributed to the neurobionics/opensourceleg repository by developing robust sensor integration and actuator control features for robotics applications. Focused on Python-based backend development, the work included implementing a dedicated BHI260AP IMU sensor class, enhancing Kalman filter state estimation, and improving CAN bus communication for reliable real-time data processing. Addressed integration challenges by enabling hot-swappable TMotor actuators with current scaling and refining IMU data handling for greater test reliability. Emphasized type safety, error handling, and comprehensive documentation to streamline onboarding and maintenance. These efforts established a solid foundation for motion tracking, sensor fusion, and accelerated development cycles in embedded robotics systems.
Overall Statistics
Feature vs Bugs
57%Features
Repository Contributions
45Total
Bugs
10
Commits
45
Features
13
Lines of code
36,978
Activity Months2
Your Network
233 peopleSame Organization
@umich.edu214
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Work History
February 2026
8 Commits • 1 Features
Feb 1, 2026February 2026 — Neurobionics/opensourceleg: Delivered hot-swappable TMotor actuator integration with current scaling enhancements and hardened IMU data handling/testing. These changes reduce integration friction with Dephy, improve sensor data reliability, and strengthen the test infrastructure, accelerating development cycles and customer deployments.
8 Commits • 1 Features
Feb 1, 2026February 2026 — Neurobionics/opensourceleg: Delivered hot-swappable TMotor actuator integration with current scaling enhancements and hardened IMU data handling/testing. These changes reduce integration friction with Dephy, improve sensor data reliability, and strengthen the test infrastructure, accelerating development cycles and customer deployments.
February 2026
January 2026
37 Commits • 12 Features
Jan 1, 2026In 2026-01, delivered end-to-end sensor integration for the BHI260AP IMU, stabilized real-time state estimation with Kalman filter enhancements, and strengthened data integrity and developer experience across the OpenSourceLeg project. The work improves reliability under varied configurations, accelerates onboarding via tutorials and documentation, and establishes a solid foundation for robust motion tracking in downstream robotics.
January 2026
37 Commits • 12 Features
Jan 1, 2026In 2026-01, delivered end-to-end sensor integration for the BHI260AP IMU, stabilized real-time state estimation with Kalman filter enhancements, and strengthened data integrity and developer experience across the OpenSourceLeg project. The work improves reliability under varied configurations, accelerates onboarding via tutorials and documentation, and establishes a solid foundation for robust motion tracking in downstream robotics.
Activity
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Quality Metrics
Correctness89.4%
Maintainability84.8%
Architecture84.4%
Performance84.8%
AI Usage22.6%
Skills & Technologies
Programming Languages
Python
Technical Skills
CAN bus communicationDocumentationIMU data processingIMU programmingKalman filterKalman filter implementationKalman filteringLoggingPythonPython programmingSensor IntegrationSoftware DevelopmentType AnnotationsType Safetyalgorithm development
Repositories Contributed To
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