Avionics-Propulsion-Landers-GT/MonopropUAV
Nov 2025 – Jan 2026
3 Months active
Languages Used
Rust
Technical Skills
Kalman filteringRust programmingalgorithm developmentsensor fusionalgorithm designdocumentation
Favour Adekola
PROFILE
Favour Adekola
Favour Adekolawole developed core autonomy features for the MonopropUAV repository, focusing on robust state estimation and control for UAVs. Over three months, Favour built a reusable Extended Kalman Filter library in Rust, supporting sensor fusion from GPS, LiDAR, and IMU, and introduced modular traits for flexible data processing. They authored comprehensive documentation to clarify project structure and usage, improving onboarding and maintainability. Favour also implemented a Chebyshev-based solver for lossless trajectory optimization and enhanced the attitude estimation and control framework with Model Predictive Control and Lossless Convexification modules, demonstrating depth in algorithm design, control systems, and numerical analysis.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
4
Lines of code
1,188
Activity Months3
Your Network
18 people
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 focused on enhancing the Attitude Estimation and Control Framework for MonopropUAV. Implemented new library modules for Lossless Convexification and Model Predictive Control (MPC), performed code refactoring, and resolved critical build issues in the EKF pipeline. These changes improve attitude estimation accuracy, control robustness, and maintainability for autonomous operations.
1 Commits • 1 Features
Jan 1, 2026January 2026 focused on enhancing the Attitude Estimation and Control Framework for MonopropUAV. Implemented new library modules for Lossless Convexification and Model Predictive Control (MPC), performed code refactoring, and resolved critical build issues in the EKF pipeline. These changes improve attitude estimation accuracy, control robustness, and maintainability for autonomous operations.
January 2026
December 2025
2 Commits • 2 Features
Dec 1, 2025Month 2025-12 Performance Summary for Avionics-Propulsion-Landers-GT/MonopropUAV Key features delivered: - EKF Rust Implementation Documentation: Delivered comprehensive documentation detailing features, project structure, core components, and practical usage examples for altitude, attitude, and 2D position estimation. (Commit: 51173bff3f4a7b6d25b5c23abea74787d0fbd64a) - Chebyshev Lossless Solver Baseplate: Implemented baseplate for parameterized, lossless trajectory optimization using Chebyshev polynomials to support UAV trajectory planning. (Commit: 178114ac115731730c835c3208054469491bbc6e) Major bugs fixed: - No major bugs fixed this month. (If any minor issues were addressed, they were not surfaced as blockers in the current scope.) Overall impact and accomplishments: - Strengthened core autonomy capabilities by delivering foundational documentation for the Rust EKF, facilitating safer altitude, attitude, and 2D position estimation workflows. - Established a reusable baseplate for Chebyshev-based trajectory optimization, enabling parameterized, lossless planning in UAV flight paths and setting the stage for performance-oriented optimizations. - Improved onboarding, knowledge transfer, and maintainability within the MonopropUAV codebase, accelerating future development and reviews. Technologies/skills demonstrated: - Rust-based EKF concepts and documentation, with emphasis on real-time estimation components. - Numerical optimization foundations using Chebyshev polynomials for trajectory planning. - Documentation discipline, project structure clarity, and usage examples to support cross-team collaboration.
December 2025
2 Commits • 2 Features
Dec 1, 2025Month 2025-12 Performance Summary for Avionics-Propulsion-Landers-GT/MonopropUAV Key features delivered: - EKF Rust Implementation Documentation: Delivered comprehensive documentation detailing features, project structure, core components, and practical usage examples for altitude, attitude, and 2D position estimation. (Commit: 51173bff3f4a7b6d25b5c23abea74787d0fbd64a) - Chebyshev Lossless Solver Baseplate: Implemented baseplate for parameterized, lossless trajectory optimization using Chebyshev polynomials to support UAV trajectory planning. (Commit: 178114ac115731730c835c3208054469491bbc6e) Major bugs fixed: - No major bugs fixed this month. (If any minor issues were addressed, they were not surfaced as blockers in the current scope.) Overall impact and accomplishments: - Strengthened core autonomy capabilities by delivering foundational documentation for the Rust EKF, facilitating safer altitude, attitude, and 2D position estimation workflows. - Established a reusable baseplate for Chebyshev-based trajectory optimization, enabling parameterized, lossless planning in UAV flight paths and setting the stage for performance-oriented optimizations. - Improved onboarding, knowledge transfer, and maintainability within the MonopropUAV codebase, accelerating future development and reviews. Technologies/skills demonstrated: - Rust-based EKF concepts and documentation, with emphasis on real-time estimation components. - Numerical optimization foundations using Chebyshev polynomials for trajectory planning. - Documentation discipline, project structure clarity, and usage examples to support cross-team collaboration.
November 2025
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Delivered a reusable Extended Kalman Filter (EKF) library with sensor models for GPS, LiDAR, and IMU to enable robust UAV state estimation. Introduced EKF struct and EKFModel trait to support plug-and-play sensor data processing and state estimation in the MonopropUAV stack. This work lays the foundation for accurate navigation, sensor fusion, and safer autonomous flight. Key commit reference: Add EKF implementation library and models in rust (b3d3c0d7baab598f2ddfc026d940232433841629).
1 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — Delivered a reusable Extended Kalman Filter (EKF) library with sensor models for GPS, LiDAR, and IMU to enable robust UAV state estimation. Introduced EKF struct and EKFModel trait to support plug-and-play sensor data processing and state estimation in the MonopropUAV stack. This work lays the foundation for accurate navigation, sensor fusion, and safer autonomous flight. Key commit reference: Add EKF implementation library and models in rust (b3d3c0d7baab598f2ddfc026d940232433841629).
November 2025
Activity
Loading activity data...
Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture85.0%
Performance85.0%
AI Usage25.0%
Skills & Technologies
Programming Languages
Rust
Technical Skills
Kalman filteringRust programmingalgorithm designalgorithm developmentcontrol systemsdocumentationfiltering techniquesnumerical analysissensor fusiontrajectory optimization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline