
During March 2026, contributed to the RIT-Launch-Initiative/FSW repository by developing two user-facing features focused on control systems and operator efficiency. Implemented auditory buzzer feedback for the 'nogo' command using Morse code, enabling immediate and clear status communication through hardware integration and embedded C++ programming. Additionally, introduced a JSON-based configuration for the Omen Controller, detailing the state transition matrix, Kalman gain, and quantile lookup tables to enhance state estimation and predictive control. These enhancements improved the reliability of nogo signaling and streamlined the predictive control loop, reducing operator workload and supporting faster, data-driven decision-making in mission-critical scenarios.
March 2026 (2026-03) monthly summary for RIT-Launch-Initiative/FSW. Key deliverables include two user-facing enhancements and control-system improvements that directly support mission readiness and operator efficiency. First, Auditory Buzzer Feedback for the 'nogo' command (Morse code) provides immediate, unambiguous status cues through a Morse-pattern buzzer, improving response times and accessibility in high-stress scenarios. Second, Omen Controller Configuration added via omen.json, detailing the state transition matrix, Kalman gain, and quantile lookup tables to enhance state estimation accuracy and predictive control for better planning and execution. These changes strengthen the reliability of nogo signaling and the predictive control loop, reducing operator workload and enabling faster, data-informed decisions.
March 2026 (2026-03) monthly summary for RIT-Launch-Initiative/FSW. Key deliverables include two user-facing enhancements and control-system improvements that directly support mission readiness and operator efficiency. First, Auditory Buzzer Feedback for the 'nogo' command (Morse code) provides immediate, unambiguous status cues through a Morse-pattern buzzer, improving response times and accessibility in high-stress scenarios. Second, Omen Controller Configuration added via omen.json, detailing the state transition matrix, Kalman gain, and quantile lookup tables to enhance state estimation accuracy and predictive control for better planning and execution. These changes strengthen the reliability of nogo signaling and the predictive control loop, reducing operator workload and enabling faster, data-informed decisions.

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