agh-space-systems-rover/kalman_robot
Nov 2025 – Jun 2026
5 Months active
Languages Used
C++CSSJavaScriptPythonTypeScriptYAMLNoneXML
Technical Skills
C++MoveItNodePythonPython scriptingROS
Rafał Żelazko
PROFILE
Rafał Żelazko
Over five months, contributed to the agh-space-systems-rover/kalman_robot repository by developing autonomous navigation, robotic control, and sensor integration features. Delivered end-to-end upgrades such as robotic arm simulation with gamepad inverse kinematics, real-time route visualization, and state machines for airlock and lava tube traversal. Integrated hardware communication for laboratory instruments and implemented perception algorithms like darkest rock detection using ROS and Python. Enhanced system reliability through bug fixes, codebase formatting, and improved event handling in Electron-based interfaces. Leveraged C++, Python, and React to build robust, maintainable solutions that advanced autonomy, data visibility, and operational throughput for robotics and simulation environments.
Overall Statistics
Feature vs Bugs
87%Features
Repository Contributions
18Total
Bugs
2
Commits
18
Features
13
Lines of code
228,536
Activity Months5
Your Network
6 peopleWork History
June 2026
9 Commits • 6 Features
Jun 1, 2026June 2026 (agh-space-systems-rover/kalman_robot) delivered concrete autonomy, perception, and tooling enhancements. Key features include WExLab Panel and Driver Integration for hardware communication with lab instruments (temperature, weight sensors, LED controls, heater) via wexlab_driver_node, enabling richer automation and data collection. Implemented Airlock Navigation State Machine for autonomous airlock operations (searching, approaching, driving through) integrated with existing modules. Introduced Lava Tube Exploration and Lava Pipe Navigation Improvements, adding a lava tube traversal state machine, refined obstacle detection, and inflation tuning for narrow passages to improve reliability in constrained environments. Added Darkest Rock Detection in Point Cloud using ROS-based processing to detect and publish the darkest rock position to support navigation and interaction. Fixed RSCPShackleton Navigation bug by ensuring the search goal is cleared before starting a new search, preventing conflicts. Notable code quality improvements (formatting standardization and enhanced debug publishing) improved maintainability and debugging. Overall, these efforts increase mission reliability, autonomy, and simulation fidelity, while expanding sensor integration, planning, and perception capabilities.
9 Commits • 6 Features
Jun 1, 2026June 2026 (agh-space-systems-rover/kalman_robot) delivered concrete autonomy, perception, and tooling enhancements. Key features include WExLab Panel and Driver Integration for hardware communication with lab instruments (temperature, weight sensors, LED controls, heater) via wexlab_driver_node, enabling richer automation and data collection. Implemented Airlock Navigation State Machine for autonomous airlock operations (searching, approaching, driving through) integrated with existing modules. Introduced Lava Tube Exploration and Lava Pipe Navigation Improvements, adding a lava tube traversal state machine, refined obstacle detection, and inflation tuning for narrow passages to improve reliability in constrained environments. Added Darkest Rock Detection in Point Cloud using ROS-based processing to detect and publish the darkest rock position to support navigation and interaction. Fixed RSCPShackleton Navigation bug by ensuring the search goal is cleared before starting a new search, preventing conflicts. Notable code quality improvements (formatting standardization and enhanced debug publishing) improved maintainability and debugging. Overall, these efforts increase mission reliability, autonomy, and simulation fidelity, while expanding sensor integration, planning, and perception capabilities.
June 2026
May 2026
1 Commits • 1 Features
May 1, 2026Delivered foundational RSCP protocol integration in the Kalman robot supervisor, enabling ARM/DISARM control, GPS-coordinate traversal, RSCP request/response messaging in kalman_interfaces, and ARC launch files for streamlined system integration. This work, captured in a focused commit, lays the groundwork for secure remote operations and tighter end-to-end orchestration with ARC components, accelerating upcoming features and improving system reliability.
May 2026
1 Commits • 1 Features
May 1, 2026Delivered foundational RSCP protocol integration in the Kalman robot supervisor, enabling ARM/DISARM control, GPS-coordinate traversal, RSCP request/response messaging in kalman_interfaces, and ARC launch files for streamlined system integration. This work, captured in a focused commit, lays the groundwork for secure remote operations and tighter end-to-end orchestration with ARC components, accelerating upcoming features and improving system reliability.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered a user-facing UI enhancement for the feeds panel and strengthened data reliability in the Kalman robot project. Implemented a refresh button in the Electron-based feeds panel and migrated from standard events to a custom event system to improve data lifecycle management and responsiveness. Addressed data publishing reliability in feeds.ts, reduced noise in logs, and hardened environment tooling to prevent exposure in production. These changes collectively improve real-time data visibility for operators and reduce maintenance overhead.
1 Commits • 1 Features
Mar 1, 2026March 2026: Delivered a user-facing UI enhancement for the feeds panel and strengthened data reliability in the Kalman robot project. Implemented a refresh button in the Electron-based feeds panel and migrated from standard events to a custom event system to improve data lifecycle management and responsiveness. Addressed data publishing reliability in feeds.ts, reduced noise in logs, and hardened environment tooling to prevent exposure in production. These changes collectively improve real-time data visibility for operators and reduce maintenance overhead.
March 2026
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for agh-space-systems-rover/kalman_robot. Focused on stability, compatibility, and throughput improvements across Unity simulation integration, pose control, and RealSense-based sensing. Delivered three prioritized changes with clear business value: (1) Unity Sim submodule updated to the latest commit to align with upstream changes and improve maintainability, (2) Pose Requester keep-alive stabilization to restore reliable pose estimation and arm control responsiveness after recent keep-alive adjustments, and (3) RealSense sensor positioning correction combined with faster drilling speeds to boost accuracy and throughput in operational scenarios.
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for agh-space-systems-rover/kalman_robot. Focused on stability, compatibility, and throughput improvements across Unity simulation integration, pose control, and RealSense-based sensing. Delivered three prioritized changes with clear business value: (1) Unity Sim submodule updated to the latest commit to align with upstream changes and improve maintainability, (2) Pose Requester keep-alive stabilization to restore reliable pose estimation and arm control responsiveness after recent keep-alive adjustments, and (3) RealSense sensor positioning correction combined with faster drilling speeds to boost accuracy and throughput in operational scenarios.
November 2025
4 Commits • 3 Features
Nov 1, 2025November 2025 demonstrated strong progress in autonomous manipulation, route visualization, and code quality for agh-space-systems-rover/kalman_robot. The Robotic Arm Advanced Control and Navigation feature consolidated arm movement simulation, gamepad IK control, and improved MoveIt compatibility, enabling autonomous panel location finding and magnetometer-driven navigation improvements. This work, paired with ongoing ROS integration and rviz visualization, reduces operator toil and enables safer, more autonomous tasks. The Map Route Visualization on Map feature subscribes to ROS topics and renders planned routes on the map via GeoPath, giving operators real-time visibility into planned trajectories and easing plan verification. A dedicated Codebase Formatting and Cleanup effort improved readability and maintainability across the repository with no functional changes. Together with stability fixes (keep-alive arm spam) and ROS-bridge tuning (reconnect improvements), these changes improve field reliability and enable faster iteration cycles for future capabilities.
4 Commits • 3 Features
Nov 1, 2025November 2025 demonstrated strong progress in autonomous manipulation, route visualization, and code quality for agh-space-systems-rover/kalman_robot. The Robotic Arm Advanced Control and Navigation feature consolidated arm movement simulation, gamepad IK control, and improved MoveIt compatibility, enabling autonomous panel location finding and magnetometer-driven navigation improvements. This work, paired with ongoing ROS integration and rviz visualization, reduces operator toil and enables safer, more autonomous tasks. The Map Route Visualization on Map feature subscribes to ROS topics and renders planned routes on the map via GeoPath, giving operators real-time visibility into planned trajectories and easing plan verification. A dedicated Codebase Formatting and Cleanup effort improved readability and maintainability across the repository with no functional changes. Together with stability fixes (keep-alive arm spam) and ROS-bridge tuning (reconnect improvements), these changes improve field reliability and enable faster iteration cycles for future capabilities.
November 2025
Activity
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Quality Metrics
Correctness87.8%
Maintainability84.4%
Architecture85.6%
Performance85.6%
AI Usage28.8%
Skills & Technologies
Programming Languages
C#C++CSSJavaScriptNonePythonTypeScriptXMLYAML
Technical Skills
C++C++ developmentElectronMoveItNodePythonPython developmentPython programmingPython scriptingROSReactTypeScriptUnityautonomous systemsbehavior trees
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