acsl-tcu/common_matlab
Jan 2025 – Apr 2026
5 Months active
Languages Used
MATLAB
Technical Skills
MATLABSymbolic Math ToolboxAgent-Based ModelingApplication InitializationControl SystemsEmbedded Systems
kasekiguchi
PROFILE
Kasekiguchi
Developed and enhanced the acsl-tcu/common_matlab repository over five months, focusing on simulation, control systems, and data visualization for robotics and flight control applications. Delivered seventeen features and addressed critical bugs by refactoring the drone control framework into modular components, introducing a Simulation UI, and improving experiment reproducibility through versioned simulators and expanded test coverage. Leveraged MATLAB, Simulink, and the Symbolic Math Toolbox to implement robust state estimation, trajectory generation, and logging systems. The work emphasized maintainability, configurability, and traceability, enabling more reliable experiments, streamlined debugging, and scalable architecture for future development in embedded and simulation-driven environments.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
37Total
Bugs
2
Commits
37
Features
17
Lines of code
101,431
Activity Months5
Your Network
4 peopleShared Repositories
4
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 - Drone Control Framework Architecture Refactor with Simulation UI (acsl-tcu/common_matlab). This month focused on architectural improvements to the drone control codebase, introducing modular components (Controller, Estimator, Reference System) and a Simulation UI to accelerate validation and future feature work. The refactor reduces coupling, improves testability, and lays the groundwork for scalable feature delivery. The changes were merged via PR #4 (commit cabbd4a2e2cd82c2c0ab19f47fc181245c05842c).
1 Commits • 1 Features
Apr 1, 2026April 2026 - Drone Control Framework Architecture Refactor with Simulation UI (acsl-tcu/common_matlab). This month focused on architectural improvements to the drone control codebase, introducing modular components (Controller, Estimator, Reference System) and a Simulation UI to accelerate validation and future feature work. The refactor reduces coupling, improves testability, and lays the groundwork for scalable feature delivery. The changes were merged via PR #4 (commit cabbd4a2e2cd82c2c0ab19f47fc181245c05842c).
April 2026
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Upgraded plotting and GUI integration in acsl-tcu/common_matlab to deliver targeted, state-aware visualizations and faster analysis. Implemented a flexible data_range parameter in the LOGGER plotting path, replacing the legacy ranget mechanism and enabling precise data subsetting. Updated mainGUI.m to initialize simulation mode with SimBaseMode(3) and to pass the 'tf' phase to the logger plot function, resulting in more informative plots aligned with the current simulation state. Major bugs fixed: none reported this period.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Upgraded plotting and GUI integration in acsl-tcu/common_matlab to deliver targeted, state-aware visualizations and faster analysis. Implemented a flexible data_range parameter in the LOGGER plotting path, replacing the legacy ranget mechanism and enabling precise data subsetting. Updated mainGUI.m to initialize simulation mode with SimBaseMode(3) and to pass the 'tf' phase to the logger plot function, resulting in more informative plots aligned with the current simulation state. Major bugs fixed: none reported this period.
June 2025
13 Commits • 3 Features
Jun 1, 2025In 2025-06, delivered three integrated feature streams for acsl-tcu/common_matlab: (1) Takeoff and Landing Reference Generation and Allocation Enhancements to unify reference handling, initialize cha_allocation for takeoff/landing, and improve trajectory tracking and ground-effect mitigation; (2) Suspended Load Simulation and Controller to add a suspended-load scenario with updated simulation loop, NATNET connector mapping, and controller adjustments for higher accuracy and stability; (3) Enhanced Logging, Plotting, and Phase-Based Analysis to overhaul logging, data loading, and plotting for phase-filtered analysis, consolidated plots, and robust data handling. These changes enable more reliable flight control and faster, data-driven experimentation.
13 Commits • 3 Features
Jun 1, 2025In 2025-06, delivered three integrated feature streams for acsl-tcu/common_matlab: (1) Takeoff and Landing Reference Generation and Allocation Enhancements to unify reference handling, initialize cha_allocation for takeoff/landing, and improve trajectory tracking and ground-effect mitigation; (2) Suspended Load Simulation and Controller to add a suspended-load scenario with updated simulation loop, NATNET connector mapping, and controller adjustments for higher accuracy and stability; (3) Enhanced Logging, Plotting, and Phase-Based Analysis to overhaul logging, data loading, and plotting for phase-filtered analysis, consolidated plots, and robust data handling. These changes enable more reliable flight control and faster, data-driven experimentation.
June 2025
March 2025
21 Commits • 11 Features
Mar 1, 2025March 2025 was centered on stabilizing the simulation workflow, increasing configurability, and improving build/readiness to accelerate repeatable experiments in acsl-tcu/common_matlab. Delivered per-atfl property configuration, stabilized suspended-load handling, cleaned up the codebase by removing deprecated components, activated SimHL workflows, and introduced system-wide enhancements for build readiness, experiment timing, and preprocessing. These changes reduce runtime errors, improve deployment flexibility, and sharpen the team’s ability to run reliable experiments with clearer logging and faster iteration.
March 2025
21 Commits • 11 Features
Mar 1, 2025March 2025 was centered on stabilizing the simulation workflow, increasing configurability, and improving build/readiness to accelerate repeatable experiments in acsl-tcu/common_matlab. Delivered per-atfl property configuration, stabilized suspended-load handling, cleaned up the codebase by removing deprecated components, activated SimHL workflows, and introduced system-wide enhancements for build readiness, experiment timing, and preprocessing. These changes reduce runtime errors, improve deployment flexibility, and sharpen the team’s ability to run reliable experiments with clearer logging and faster iteration.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary focusing on key accomplishments, major outcomes, and business impact. The period centers on delivering a feature enhancement for the MATLAB Controller and Reference System with a versioned simulator and tests in acsl-tcu/common_matlab, along with updated timestamps to improve traceability. No major bug fixes were reported this month; the emphasis was on reliability, reproducibility, and test coverage to enable safer releases and easier maintenance.
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary focusing on key accomplishments, major outcomes, and business impact. The period centers on delivering a feature enhancement for the MATLAB Controller and Reference System with a versioned simulator and tests in acsl-tcu/common_matlab, along with updated timestamps to improve traceability. No major bug fixes were reported this month; the emphasis was on reliability, reproducibility, and test coverage to enable safer releases and easier maintenance.
January 2025
Activity
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Quality Metrics
Correctness79.8%
Maintainability80.0%
Architecture74.4%
Performance65.4%
AI Usage20.6%
Skills & Technologies
Programming Languages
MATLAB
Technical Skills
Agent-Based ModelingApplication InitializationClass DesignControl SystemsData FilteringData ManagementData VisualizationEmbedded SystemsEstimation AlgorithmsEuler AnglesFlight ControlGUI DevelopmentLoggingMATLABMATLAB App Designer
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