
Developed autonomous navigation with ball possession for the LiU-SeeGoals/controller repository, enabling a robot to move to a target position while maintaining control of the ball. The solution incorporated dribbling logic and dynamically adjusted the robot’s destination based on ball proximity, ensuring robust ball control throughout navigation. Simulation tests were updated to validate this new behavior, expanding test coverage and supporting future field deployments. The work leveraged Go programming, robotics, and AI, focusing on enhancing on-field autonomy and reducing manual intervention. This feature laid the groundwork for more strategic robot positioning and improved the system’s readiness for real-world scenarios.
January 2025 monthly summary: Implemented autonomous navigation with ball possession for LiU-SeeGoals/controller, delivering MoveToPositionWithBall with dribbling logic and ball-proximity-based destination adjustment; simulation tests updated to validate behavior. Result: enhanced on-field autonomy, robust ball control during movement, and expanded test coverage. This supports future field deployments and reduces manual intervention.
January 2025 monthly summary: Implemented autonomous navigation with ball possession for LiU-SeeGoals/controller, delivering MoveToPositionWithBall with dribbling logic and ball-proximity-based destination adjustment; simulation tests updated to validate behavior. Result: enhanced on-field autonomy, robust ball control during movement, and expanded test coverage. This supports future field deployments and reduces manual intervention.

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