
Worked on the swarm-wustl/just-keep-swarming repository to advance multi-robot coordination and control over a three-month period. Developed QR code-based position tracking and integrated Kalman filtering to improve localization and mapping, enabling more reliable robot coordination. Built a PID-based action server and angle calculation utility in Python and C++, supporting precise path planning and robust motion control. Enhanced the overhead computer vision system and refactored core modules for efficiency, maintainability, and scalability. Delivered a dedicated robot position control service and improved multi-robot PID coordination, establishing a foundation for scalable autonomous workflows using ROS, ROS 2, and embedded systems.
Month 2025-10 – Delivered a new Robot Position Control Service and Enhanced Multi-Robot PID Coordination for swarm-wustl/just-keep-swarming. Implemented a dedicated position control service, manual control and PID action servers, and performed targeted refactoring. Overhead computer vision system was improved to provide more reliable tracking and state estimation, enabling robust single- and multi-robot operation. No separate critical defects documented this month; stability improvements came from refactor and CV enhancements. Business impact: higher positioning accuracy, safer fleet operations, reduced operator intervention, and a solid foundation for scalable autonomous workflows. Technologies demonstrated: ROS-based services/actions, PID control, computer vision, state estimation, multi-robot coordination, and code refactoring.
Month 2025-10 – Delivered a new Robot Position Control Service and Enhanced Multi-Robot PID Coordination for swarm-wustl/just-keep-swarming. Implemented a dedicated position control service, manual control and PID action servers, and performed targeted refactoring. Overhead computer vision system was improved to provide more reliable tracking and state estimation, enabling robust single- and multi-robot operation. No separate critical defects documented this month; stability improvements came from refactor and CV enhancements. Business impact: higher positioning accuracy, safer fleet operations, reduced operator intervention, and a solid foundation for scalable autonomous workflows. Technologies demonstrated: ROS-based services/actions, PID control, computer vision, state estimation, multi-robot coordination, and code refactoring.
April 2025: Delivery focused on robust navigation and precise motion control for autonomous swarming robots. Implemented a new angle calculation utility and a PID-based action server, enabling reliable target tracking and controlled path execution across multiple robots. The updates include input validation, configuration defaults, and testing utilities to improve reliability, validation speed, and developer feedback.
April 2025: Delivery focused on robust navigation and precise motion control for autonomous swarming robots. Implemented a new angle calculation utility and a PID-based action server, enabling reliable target tracking and controlled path execution across multiple robots. The updates include input validation, configuration defaults, and testing utilities to improve reliability, validation speed, and developer feedback.
February 2025 monthly summary for swarm-wustl/just-keep-swarming. Implemented QR code-based position tracking and Kalman pose estimation to significantly improve multi-robot localization, mapping, and coordination. Refactored core modules for efficiency, enabling more scalable and reliable multi-robot deployments. Included commit 02c409d5c14ca8c3f723bc40d5ad120b2c84d187 ("Og map (#4)").
February 2025 monthly summary for swarm-wustl/just-keep-swarming. Implemented QR code-based position tracking and Kalman pose estimation to significantly improve multi-robot localization, mapping, and coordination. Refactored core modules for efficiency, enabling more scalable and reliable multi-robot deployments. Included commit 02c409d5c14ca8c3f723bc40d5ad120b2c84d187 ("Og map (#4)").

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