
Over four months, Ben Swartz developed core features for the CLAWS-UMICH/AURA repository, focusing on real-time astronaut vitals monitoring, geospatial data visualization, and an interactive EVA dialogue system. He engineered event-driven UI panels in Unity using C# scripting, established structured data models for geological samples, and integrated OpenXR for cross-platform XR readiness. His work included building telemetry streaming for enhanced observability and refining UI state management to support complex dialogue flows. By emphasizing modular scene setup, database design, and disciplined version control, Ben delivered robust, scalable solutions that improved user experience, operational insight, and the foundation for future mission-critical analytics.

In April 2025, CLAWS-UMICH/AURA delivered a feature-rich Interactive EVA Dialogue System with Telemetry and UI State Management, enabling UI-driven dialogue flows for EVA scenarios with dedicated UI mode management (UIAState), dialogue sequencing, and scene update capabilities. A telemetry stream server/handler was implemented to improve observability during EVA testing, and UI refinements were completed to support navigable, sequential dialogue and reliable scene transitions. Major bugs related to scene state persistence, UI interactions, and save-restore flows were addressed through iterative commits and debugging efforts. The work yielded improved authoring efficiency, faster iteration cycles, and better operational insight during EVA testing, driving tangible business value through more realistic EVA scenarios and robust telemetry-driven diagnostics.
In April 2025, CLAWS-UMICH/AURA delivered a feature-rich Interactive EVA Dialogue System with Telemetry and UI State Management, enabling UI-driven dialogue flows for EVA scenarios with dedicated UI mode management (UIAState), dialogue sequencing, and scene update capabilities. A telemetry stream server/handler was implemented to improve observability during EVA testing, and UI refinements were completed to support navigable, sequential dialogue and reliable scene transitions. Major bugs related to scene state persistence, UI interactions, and save-restore flows were addressed through iterative commits and debugging efforts. The work yielded improved authoring efficiency, faster iteration cycles, and better operational insight during EVA testing, driving tangible business value through more realistic EVA scenarios and robust telemetry-driven diagnostics.
February 2025 performance for CLAWS-UMICH/AURA: Delivered a modern Unity UI overhaul, established a structured geological sample data model, and prepared cross-platform XR readiness with OpenXR configuration. No major defects reported this month; improvements focus on user experience, data integrity, and scalable XR deployments that enable faster onboarding and analytics.
February 2025 performance for CLAWS-UMICH/AURA: Delivered a modern Unity UI overhaul, established a structured geological sample data model, and prepared cross-platform XR readiness with OpenXR configuration. No major defects reported this month; improvements focus on user experience, data integrity, and scalable XR deployments that enable faster onboarding and analytics.
January 2025: Geo Samples feature delivered for CLAWS-UMICH/AURA, enabling geographic data visualization and interactive sampling. Implemented a dedicated Unity scene (addsample.unity), UI for geo-sampling interaction, and new geo-sample icons/assets. Completed end-to-end feature work across four commits, from initial scaffolding to finished integration-ready state. This lays the groundwork for geospatial analytics and richer user workflows.
January 2025: Geo Samples feature delivered for CLAWS-UMICH/AURA, enabling geographic data visualization and interactive sampling. Implemented a dedicated Unity scene (addsample.unity), UI for geo-sampling interaction, and new geo-sample icons/assets. Completed end-to-end feature work across four commits, from initial scaffolding to finished integration-ready state. This lays the groundwork for geospatial analytics and richer user workflows.
2024-11 Monthly Summary — CLAWS-UMICH/AURA: Delivered a real-time Critical Vitals monitoring UI with data flow scaffolding for vital signs (heart rate, O2, temperature, CO2, helmet RPM, scrubber CO2) and event-driven updates, including visual assets and UI scene labeling. Implemented vitals scripting scaffolding and initial automation to initialize and update vitals data. No explicit bug fixes recorded this month; focus was on feature delivery and stabilizing the vitals data pipeline through scripting and iterative commits. Impact: enhances crew safety and decision-making by providing real-time visibility; establishes a foundation for scalable health monitoring across missions. Technologies/skills demonstrated: UI/UX for real-time dashboards, data pipeline design, event-driven architecture, scripting/automation, asset creation, and disciplined version control.
2024-11 Monthly Summary — CLAWS-UMICH/AURA: Delivered a real-time Critical Vitals monitoring UI with data flow scaffolding for vital signs (heart rate, O2, temperature, CO2, helmet RPM, scrubber CO2) and event-driven updates, including visual assets and UI scene labeling. Implemented vitals scripting scaffolding and initial automation to initialize and update vitals data. No explicit bug fixes recorded this month; focus was on feature delivery and stabilizing the vitals data pipeline through scripting and iterative commits. Impact: enhances crew safety and decision-making by providing real-time visibility; establishes a foundation for scalable health monitoring across missions. Technologies/skills demonstrated: UI/UX for real-time dashboards, data pipeline design, event-driven architecture, scripting/automation, asset creation, and disciplined version control.
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