
In April 2025, Alex Jonelei developed foundational power and resource management features for the NASA-SUITS-Teams/JARVIS-2025 repository, focusing on rover autonomy and mission planning. Using Python and leveraging skills in embedded systems and predictive modeling, Alex refactored power calculations into a dedicated rover object and implemented battery life estimation under varying usage scenarios. He introduced predictive models for oxygen, coolant, and power consumption, integrating these with a user-facing UI and comprehensive documentation. The work improved mission planning visibility and reliability, laying the groundwork for future state-driven decision-making and enhancing the system’s ability to support autonomous rover operations.
April 2025 performance summary for NASA-SUITS-Teams/JARVIS-2025: focus on power and resource management to enable rover autonomy and mission planning. Delivered foundational power modeling, battery life estimation, and resource predictions with user-visible UI and documentation; laid groundwork for state-driven decision making and reliability improvements.
April 2025 performance summary for NASA-SUITS-Teams/JARVIS-2025: focus on power and resource management to enable rover autonomy and mission planning. Delivered foundational power modeling, battery life estimation, and resource predictions with user-visible UI and documentation; laid groundwork for state-driven decision making and reliability improvements.

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