agimus-project/agimus_controller
Jan 2025 – Jan 2026
7 Months active
Languages Used
PythonCMakeMarkdownShellXMLYAMLC++
Technical Skills
Code FormattingCode RefactoringNumPyPythonPython DevelopmentRobotics
Krzysztof Wojciechowski
PROFILE
Krzysztof Wojciechowski
Krzysztof Wojciechowski developed advanced control and trajectory planning features for the agimus-project/agimus_controller repository, focusing on robust robot model handling and modular optimal control workflows. He implemented velocity-aware Model Predictive Control (MPC), force feedback integration, and dynamic geometry placement updates, using Python and C++ to enhance both reliability and flexibility. His work included refactoring for code clarity, deprecating legacy paths, and improving test coverage, which reduced integration friction and runtime errors. By centralizing resource management and extending support for multi-end-effector and ColMPC-agnostic scenarios, Krzysztof delivered maintainable solutions that broadened the applicability of robotics control systems.
Overall Statistics
Feature vs Bugs
79%Features
Repository Contributions
32Total
Bugs
4
Commits
32
Features
15
Lines of code
12,586
Activity Months7
Your Network
10 peopleShared Repositories
10
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly work summary for agimus_controller: Delivered a feature to update geometry placements in the Optimal Control Problem (OCP) for ColMPC-agnostic scenarios, extending support to both collision and visual geometry types. No major bugs fixed this month. This work broadens the applicability of OCP-based planning to non-ColMPC states, enabling smoother integration with CORCoddyl-based planners and reducing the need for ad-hoc workarounds.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly work summary for agimus_controller: Delivered a feature to update geometry placements in the Optimal Control Problem (OCP) for ColMPC-agnostic scenarios, extending support to both collision and visual geometry types. No major bugs fixed this month. This work broadens the applicability of OCP-based planning to non-ColMPC states, enabling smoother integration with CORCoddyl-based planners and reducing the need for ad-hoc workarounds.
January 2026
December 2025
2 Commits • 2 Features
Dec 1, 2025December 2025 focused on foundational enhancements to agimus_controller that improve robotic arm trajectory planning and script reliability. Key work includes a dummy Model Predictive Control (MPC) module for frame placement, and a standalone execution guard to prevent unintended execution when scripts are imported as modules.
December 2025
2 Commits • 2 Features
Dec 1, 2025December 2025 focused on foundational enhancements to agimus_controller that improve robotic arm trajectory planning and script reliability. Key work includes a dummy Model Predictive Control (MPC) module for frame placement, and a standalone execution guard to prevent unintended execution when scripts are imported as modules.
October 2025
4 Commits • 1 Features
Oct 1, 2025Month: 2025-10 | Repository: agimus-project/agimus_controller. Focused on stabilizing core dynamics while simplifying resource management. Delivered important bug fixes to collision avoidance, logging, and constraint handling, and completed a refactor that removes an external resource retriever, centralizing resource access in the ROS controller. These changes enhance reliability in dynamic environments, improve observability, and reduce maintenance overhead across the controller stack.
4 Commits • 1 Features
Oct 1, 2025Month: 2025-10 | Repository: agimus-project/agimus_controller. Focused on stabilizing core dynamics while simplifying resource management. Delivered important bug fixes to collision avoidance, logging, and constraint handling, and completed a refactor that removes an external resource retriever, centralizing resource access in the ROS controller. These changes enhance reliability in dynamic environments, improve observability, and reduce maintenance overhead across the controller stack.
October 2025
September 2025
7 Commits • 4 Features
Sep 1, 2025September 2025 highlights: Delivered core MPC robustness and end-effector enhancements in agimus_controller, added Force Feedback MPC capabilities with warm-start support, enabled trajectory weight interpolation for smoother configuration transitions, and updated dependencies to improve build stability. These changes increase planning reliability, support multi-end-effector tasks, and reduce integration costs for force-feedback scenarios.
September 2025
7 Commits • 4 Features
Sep 1, 2025September 2025 highlights: Delivered core MPC robustness and end-effector enhancements in agimus_controller, added Force Feedback MPC capabilities with warm-start support, enabled trajectory weight interpolation for smoother configuration transitions, and updated dependencies to improve build stability. These changes increase planning reliability, support multi-end-effector tasks, and reduce integration costs for force-feedback scenarios.
June 2025
8 Commits • 5 Features
Jun 1, 2025June 2025 monthly summary for agimus_controller: Delivered velocity-aware MPC input enhancements and robust data handling, enabling more accurate end-effector control while maintaining system robustness and modularity. Introduced velocity and force/torque data support in MPC workflow, improved conversion resilience for missing data, added gravity/frame residual models to enhance gravity compensation and motion accuracy, published trajectory buffer length for observability, and enabled dynamic import of external OCP components to improve modularity and extensibility. These efforts collectively improved control accuracy, reliability, and deployment flexibility with minimal impact to existing configurations.
8 Commits • 5 Features
Jun 1, 2025June 2025 monthly summary for agimus_controller: Delivered velocity-aware MPC input enhancements and robust data handling, enabling more accurate end-effector control while maintaining system robustness and modularity. Introduced velocity and force/torque data support in MPC workflow, improved conversion resilience for missing data, added gravity/frame residual models to enhance gravity compensation and motion accuracy, published trajectory buffer length for observability, and enabled dynamic import of external OCP components to improve modularity and extensibility. These efforts collectively improved control accuracy, reliability, and deployment flexibility with minimal impact to existing configurations.
June 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Deprecated configuration and code cleanup completed in the agimus_controller module to reduce maintenance burden and prevent reliance on outdated functionality. The work archived legacy configuration and removed deprecated code paths, establishing a cleaner foundation for future features and stability.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Deprecated configuration and code cleanup completed in the agimus_controller module to reduce maintenance burden and prevent reliance on outdated functionality. The work archived legacy configuration and removed deprecated code paths, establishing a cleaner foundation for future features and stability.
January 2025
8 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for agimus_controller: Focused on delivering robust Robot Model Loading Enhancements with string-based URDF loading, validated parameter naming, and expanded test coverage to improve reliability and developer productivity. Key outcomes include enabling URDF loading from strings via RobotModelParameters, strengthening validation and parameter naming, and expanding unit tests for string loading, mesh directory handling, and error scenarios. Code quality improvements were achieved through pre-commit enforcement and review-driven refactors, contributing to more reliable CI and faster iteration. Business value realized through reduced integration friction, faster model-loading cycles, and lower runtime error risk in dynamic deployments.
8 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for agimus_controller: Focused on delivering robust Robot Model Loading Enhancements with string-based URDF loading, validated parameter naming, and expanded test coverage to improve reliability and developer productivity. Key outcomes include enabling URDF loading from strings via RobotModelParameters, strengthening validation and parameter naming, and expanding unit tests for string loading, mesh directory handling, and error scenarios. Code quality improvements were achieved through pre-commit enforcement and review-driven refactors, contributing to more reliable CI and faster iteration. Business value realized through reduced integration friction, faster model-loading cycles, and lower runtime error risk in dynamic deployments.
January 2025
Activity
Loading activity data...
Quality Metrics
Correctness90.6%
Maintainability88.2%
Architecture85.6%
Performance81.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakeMarkdownPythonShellXMLYAML
Technical Skills
Build System ManagementC++Code CleanupCode FormattingCode OrganizationCode RefactoringConfiguration ManagementControl SystemsData ConversionDependency ManagementDeprecation RemovalEmbedded SystemsInterpolationModel Predictive ControlNumPy
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline