
Worked on the AirStack repository, delivering advanced robotics and drone control features with a focus on autonomous flight, simulation, and deployment reliability. Developed and integrated modules for trajectory planning, behavior trees, and real-time data visualization, leveraging C++, Python, and ROS/ROS2. Enhanced system stability and observability through containerized environments using Docker, robust logging, and automated configuration management. Implemented 3D graphics and OpenGL-based perception nodes for improved operator insight and debugging. Addressed deployment and runtime challenges by refining build systems, environment configuration, and documentation, resulting in safer, more reproducible workflows and streamlined integration from simulation to real-world robotic operations.
January 2026 monthly recap for AirStack: stabilized container permissions to fix sensor access and ROS shared memory conflicts, and enhanced deployment usability with extensive documentation updates. Delivered a root-user container permission fix across robot and GCS containers, updated DROAN GL feature/local planner docs, and added a simple-sim image push capability to streamline deployments.
January 2026 monthly recap for AirStack: stabilized container permissions to fix sensor access and ROS shared memory conflicts, and enhanced deployment usability with extensive documentation updates. Delivered a root-user container permission fix across robot and GCS containers, updated DROAN GL feature/local planner docs, and added a simple-sim image push capability to streamline deployments.
December 2025 monthly summary for AirStack focusing on GL-based trajectory publishing/rewinding integration and packaging improvements. Delivered robust trajectory handling, improved deployment readiness, and strengthened graph management with minimal footprint and clear tech growth.
December 2025 monthly summary for AirStack focusing on GL-based trajectory publishing/rewinding integration and packaging improvements. Delivered robust trajectory handling, improved deployment readiness, and strengthened graph management with minimal footprint and clear tech growth.
November 2025 monthly summary for castacks/AirStack: Delivered critical operational enhancements and stability improvements to the AirStack project, including Docker registry domain migration, MAVROS time synchronization fix for PX4 simulator, and comprehensive documentation updates. These changes improve deployment reliability, simulator accuracy, and cross-environment consistency, driving faster time-to-value for development and autopilot testing.
November 2025 monthly summary for castacks/AirStack: Delivered critical operational enhancements and stability improvements to the AirStack project, including Docker registry domain migration, MAVROS time synchronization fix for PX4 simulator, and comprehensive documentation updates. These changes improve deployment reliability, simulator accuracy, and cross-environment consistency, driving faster time-to-value for development and autopilot testing.
Month: 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.
Month: 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.
May 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 (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 - 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 - 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.
March 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 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 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 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.
January 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: 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 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 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.
November 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 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.

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