
Developed a multi-drone global planning feature for the castacks/AirStack repository, focusing on scalable coordination for robotics missions. The work introduced dynamic service routing based on drone identity, allowing flexible and targeted planning across multiple robots. Configuration synchronization was implemented using Python, ROS, and YAML to ensure consistent global planning behavior among all components. This approach improved maintainability and operational safety for multi-drone systems by enabling synchronized toggling of global planning features. The engineering effort also addressed integration issues within the global plan, laying a foundation for more robust simulation and deployment of coordinated drone operations in complex environments.
March 2026 focused on advancing AirStack multi-robot coordination with a robust multi-drone global planning capability. The effort delivered dynamic service routing by drone identity, synchronized configuration for consistent global planning across components, and targeted bug fixes to stabilize multi-drone operations. The groundwork supports scalable, safer, and faster multi-drone missions with improved maintainability.
March 2026 focused on advancing AirStack multi-robot coordination with a robust multi-drone global planning capability. The effort delivered dynamic service routing by drone identity, synchronized configuration for consistent global planning across components, and targeted bug fixes to stabilize multi-drone operations. The groundwork supports scalable, safer, and faster multi-drone missions with improved maintainability.

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