castacks/AirStack
Nov 2024 – Sep 2025
8 Months active
Languages Used
BashC++MarkdownPythonShellXMLYAMLDockerfile
Technical Skills
Behavior TreesC++Code CleanupConfiguration ManagementDebuggingDevOps
jfkeller
PROFILE
Jfkeller
Over eight months, John Keller developed and maintained the AirStack robotics platform, focusing on autonomous drone control, simulation, and data visualization. Working in the castacks/AirStack repository, he engineered features such as a Docker-based Ground Control Station, a ROS 2-integrated behavior tree system, and OpenGL-powered 3D disparity rendering for advanced perception. His work included implementing PID controllers, trajectory planners, and robust data logging pipelines using C++, Python, and Docker. By addressing deployment, stability, and integration challenges, John delivered production-ready solutions that improved flight safety, operator workflows, and system observability, demonstrating depth in robotics, control systems, and software infrastructure.
Overall Statistics
Feature vs Bugs
76%Features
Repository Contributions
43Total
Bugs
8
Commits
43
Features
26
Lines of code
48,695
Activity Months8
Your Network
71 people
Work History
September 2025
4 Commits • 3 Features
Sep 1, 2025Month: 2025-09 — AirStack (castacks/AirStack) focused on delivering business-value through simulation-enhanced planning, production-ready deployment improvements, and enhanced visualization. Key work includes a new simulation environment, ZED configuration refactors, planning/control module updates, non-root deployment support, removal of deprecated runtime components, and an OpenGL-based disparity rendering node for advanced perception visualization. These efforts improve safety, security, deployability, testability, and debugging capabilities across the stack.
4 Commits • 3 Features
Sep 1, 2025Month: 2025-09 — AirStack (castacks/AirStack) focused on delivering business-value through simulation-enhanced planning, production-ready deployment improvements, and enhanced visualization. Key work includes a new simulation environment, ZED configuration refactors, planning/control module updates, non-root deployment support, removal of deprecated runtime components, and an OpenGL-based disparity rendering node for advanced perception visualization. These efforts improve safety, security, deployability, testability, and debugging capabilities across the stack.
September 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 (AirStack): Delivered core flight-control capability enhancements and observability improvements to accelerate development, testing, and deployment readiness. Focused on stability, diagnosability, and smoother integration with the drone interface bringup.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 (AirStack): Delivered core flight-control capability enhancements and observability improvements to accelerate development, testing, and deployment readiness. Focused on stability, diagnosability, and smoother integration with the drone interface bringup.
April 2025
9 Commits • 7 Features
Apr 1, 2025April 2025 - AirStack: Delivered measurable business value through data-quality improvements, safer and more autonomous flight, and streamlined operator workflows. Implemented data collection and logging enhancements, introduced a virtual obstacle for flexible testing, automated recording controls with enhanced plotting, and expanded flight-control capabilities with a new attitude controller and MAVROS/GeographicLib integration. Also aligned real-robot tuning and UI improvements to speed up testing and deployment. These changes improve data analysis, testing flexibility, flight safety, and operational efficiency.
9 Commits • 7 Features
Apr 1, 2025April 2025 - AirStack: Delivered measurable business value through data-quality improvements, safer and more autonomous flight, and streamlined operator workflows. Implemented data collection and logging enhancements, introduced a virtual obstacle for flexible testing, automated recording controls with enhanced plotting, and expanded flight-control capabilities with a new attitude controller and MAVROS/GeographicLib integration. Also aligned real-robot tuning and UI improvements to speed up testing and deployment. These changes improve data analysis, testing flexibility, flight safety, and operational efficiency.
April 2025
March 2025
9 Commits • 5 Features
Mar 1, 2025March 2025 monthly summary for AirStack: Delivered tangible improvements in deployment efficiency, autonomous flight capabilities, and system observability, driving faster iterations and safer operations. Notable outcomes include SITL deployment optimization, Airstack autonomous navigation enhancements with lawnmower trajectories and state-estimate gating, separation of takeoff/landing velocities in the planner, a revamped GCS UI with Docker/BAG integration and 3D plotting, and a fix to docker-compose date formatting to ensure safe file names. These advances reduce build times, improve mission reliability, and enable richer data-driven insights for flight operations.
March 2025
9 Commits • 5 Features
Mar 1, 2025March 2025 monthly summary for AirStack: Delivered tangible improvements in deployment efficiency, autonomous flight capabilities, and system observability, driving faster iterations and safer operations. Notable outcomes include SITL deployment optimization, Airstack autonomous navigation enhancements with lawnmower trajectories and state-estimate gating, separation of takeoff/landing velocities in the planner, a revamped GCS UI with Docker/BAG integration and 3D plotting, and a fix to docker-compose date formatting to ensure safe file names. These advances reduce build times, improve mission reliability, and enable richer data-driven insights for flight operations.
February 2025
5 Commits • 4 Features
Feb 1, 2025February 2025 highlights for AirStack: Key features delivered include centralized takeoff height configuration with updated takeoff logic, a new Behavior Tree GUI in Ground Control Station, rosbag data persistence improvements, and a self-contained velocity-controlled SITL environment. Major bug fixed: takeoff control safety preventing autonomy from regaining control once takeoff has started, reducing conflicts and ensuring smooth handover to flight. Overall impact: improved flight safety, faster iteration, better data management, and enhanced operator visibility. Technologies demonstrated: ROS/MAVROS, Docker, RViz, Behavior Trees, SITL, and robust data management with timestamped rosbag data.
5 Commits • 4 Features
Feb 1, 2025February 2025 highlights for AirStack: Key features delivered include centralized takeoff height configuration with updated takeoff logic, a new Behavior Tree GUI in Ground Control Station, rosbag data persistence improvements, and a self-contained velocity-controlled SITL environment. Major bug fixed: takeoff control safety preventing autonomy from regaining control once takeoff has started, reducing conflicts and ensuring smooth handover to flight. Overall impact: improved flight safety, faster iteration, better data management, and enhanced operator visibility. Technologies demonstrated: ROS/MAVROS, Docker, RViz, Behavior Trees, SITL, and robust data management with timestamped rosbag data.
February 2025
January 2025
6 Commits • 1 Features
Jan 1, 2025January 2025: Delivered a robust, Docker-based Ground Control Station environment for AirStack with separate simulation and real-robot configurations, consolidating the base setup while improving network handling and ROS_DOMAIN_ID management. Implemented MAVROS integration for drone communication and fixed trajectory controller issues to improve end-to-end reliability from simulation to real flights. Completed packaging consistency by bumping version to 1.0.4. Addressed key stability improvements through targeted bug fixes: dockerfile bug fix, corrected docker-compose command typo, and added bashrc error handling to detect missing robot IDs and surface clear errors when the ROS_DOMAIN_ID is invalid.
January 2025
6 Commits • 1 Features
Jan 1, 2025January 2025: Delivered a robust, Docker-based Ground Control Station environment for AirStack with separate simulation and real-robot configurations, consolidating the base setup while improving network handling and ROS_DOMAIN_ID management. Implemented MAVROS integration for drone communication and fixed trajectory controller issues to improve end-to-end reliability from simulation to real flights. Completed packaging consistency by bumping version to 1.0.4. Addressed key stability improvements through targeted bug fixes: dockerfile bug fix, corrected docker-compose command typo, and added bashrc error handling to detect missing robot IDs and surface clear errors when the ROS_DOMAIN_ID is invalid.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for castacks/AirStack focusing on containerized deployment of the Ground Control Station (GCS) and stability improvements in mission planning settings. Highlights include the delivery of a containerized GCS workflow and a robust bug fix for mission planner settings, with direct commits linked to the work.
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for castacks/AirStack focusing on containerized deployment of the Ground Control Station (GCS) and stability improvements in mission planning settings. Highlights include the delivery of a containerized GCS workflow and a robust bug fix for mission planner settings, with direct commits linked to the work.
December 2024
November 2024
7 Commits • 4 Features
Nov 1, 2024November 2024 monthly summary for castacks/AirStack: Delivered automation, reliability, and documentation improvements that streamline deployment, improve telemetry accuracy, and enhance operational safety for IsaacSim and AirLab Nucleus integrations. Emphasis was on automating environment setup, integrating new UI/UX and tools into AirStack, and strengthening behavior control and logging for production readiness.
November 2024
7 Commits • 4 Features
Nov 1, 2024November 2024 monthly summary for castacks/AirStack: Delivered automation, reliability, and documentation improvements that streamline deployment, improve telemetry accuracy, and enhance operational safety for IsaacSim and AirLab Nucleus integrations. Emphasis was on automating environment setup, integrating new UI/UX and tools into AirStack, and strengthening behavior control and logging for production readiness.
Activity
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Quality Metrics
Correctness81.8%
Maintainability81.0%
Architecture78.4%
Performance71.6%
AI Usage21.8%
Skills & Technologies
Programming Languages
BashCC++CMakeDockerfileGDBGLSLMarkdownPythonShell
Technical Skills
3D Graphics3D RenderingAlgorithm DevelopmentBehavior TreesBug FixingBuild SystemsC++C++ DevelopmentCI/CDCMakeCode CleanupComputer VisionConfiguration ManagementContainerizationControl Systems
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