

December 2025 highlights for PurdueLunabotics/purdue_lunabotics: Delivered navigation and perception enhancements, REP-compliant motion control improvements, and stabilizing fixes that increase autonomous reliability and safety in real-world operation. Focused on map-based navigation, odometry precision, camera depth tuning, and real-world parameter updates, with adherence to REP standards to improve movement accuracy and control reliability.
December 2025 highlights for PurdueLunabotics/purdue_lunabotics: Delivered navigation and perception enhancements, REP-compliant motion control improvements, and stabilizing fixes that increase autonomous reliability and safety in real-world operation. Focused on map-based navigation, odometry precision, camera depth tuning, and real-world parameter updates, with adherence to REP standards to improve movement accuracy and control reliability.
November 2025 — PurdueLunabotics/purdue_lunabotics: Delivered end-to-end enhancements to the robot software stack, integrating motor control libraries, sensor interfaces, ROS 2 support, and refined launch configurations. Improvements to camera handling and data recording paths enabled stable operations with Foxglove bridge visualization, boosting real-world usability and data quality. Major bug fixes stabilized ROS 2 compatibility and tf transforms on the real robot, fixed computer launch workflows, and tightened end-to-end reliability. Overall, the work reduced deployment risk, accelerated field testing, and improved operator confidence in autonomous/on-robot tasks. Technologies demonstrated include ROS 2, Foxglove visualization, motor control integration, sensor interfaces, and launch tooling.
November 2025 — PurdueLunabotics/purdue_lunabotics: Delivered end-to-end enhancements to the robot software stack, integrating motor control libraries, sensor interfaces, ROS 2 support, and refined launch configurations. Improvements to camera handling and data recording paths enabled stable operations with Foxglove bridge visualization, boosting real-world usability and data quality. Major bug fixes stabilized ROS 2 compatibility and tf transforms on the real robot, fixed computer launch workflows, and tightened end-to-end reliability. Overall, the work reduced deployment risk, accelerated field testing, and improved operator confidence in autonomous/on-robot tasks. Technologies demonstrated include ROS 2, Foxglove visualization, motor control integration, sensor interfaces, and launch tooling.
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