
Pavel Allen contributed to the FarmasiaVR/farmasia-vr repository by developing and refining interactive VR training features using Unity and C#. Over four months, he delivered core systems for liquid and plate handling, enhanced pipette and contamination logic, and overhauled UI workflows with localization support. His work included implementing event-driven object interactions, integrating audio feedback, and managing prefabs for scalable scene management. By addressing both feature development and bug resolution, Pavel improved simulation realism, user onboarding, and data fidelity. His technical approach emphasized maintainable C# scripting, robust asset management, and iterative UI development, resulting in a stable, extensible VR training environment.

During April 2025, work on FarmasiaVR/farmasia-vr focused on delivering tangible business value through feature-rich UX improvements, capacity enhancements for precision workflows, and localization-ready UI components. The month combined core capability upgrades with UI overhauls, addressing usability gaps and stability to support faster task completion across environments.
During April 2025, work on FarmasiaVR/farmasia-vr focused on delivering tangible business value through feature-rich UX improvements, capacity enhancements for precision workflows, and localization-ready UI components. The month combined core capability upgrades with UI overhauls, addressing usability gaps and stability to support faster task completion across environments.
March 2025 — FarmasiaVR/farmasia-vr delivered a stable, feature-rich release with a foundational V1 infrastructure for liquids and plates with localization, enhanced interaction feedback, and improved contamination handling. Key features shipped include Finnpipette readiness state initialization, liquid/plate container infrastructure (V1) with localization, a timer system with readiness, and item activation inside covers. Notable bug fixes addressed critical collisions, contamination handling, and collider behavior, including Finnpipette box collision, contamination liquid type synchronization, contamination handling events for sticks, blue stick attachment point, and plate collider improvements. The month also encompassed workflow finalization (Doro), a new Small Garbage Can item, code cleanup, and UI polish. This work reduces runtime errors, increases simulation realism and safety, and provides a scalable foundation for localization expansion and future features. Commit traceability is included for all major changes.
March 2025 — FarmasiaVR/farmasia-vr delivered a stable, feature-rich release with a foundational V1 infrastructure for liquids and plates with localization, enhanced interaction feedback, and improved contamination handling. Key features shipped include Finnpipette readiness state initialization, liquid/plate container infrastructure (V1) with localization, a timer system with readiness, and item activation inside covers. Notable bug fixes addressed critical collisions, contamination handling, and collider behavior, including Finnpipette box collision, contamination liquid type synchronization, contamination handling events for sticks, blue stick attachment point, and plate collider improvements. The month also encompassed workflow finalization (Doro), a new Small Garbage Can item, code cleanup, and UI polish. This work reduces runtime errors, increases simulation realism and safety, and provides a scalable foundation for localization expansion and future features. Commit traceability is included for all major changes.
February 2025 FarmasiaVR monthly summary: Focused on delivering realism-enhancing VR interaction features. Key outcomes include a box-based Pipette interaction system with area-based state reset and box-only interactions; a LiquidContainer contamination/transfer enhancement that propagates the current liquid type to the target contamination state post-dilution; and VR interaction fidelity improvements via audio, colliders, and PipetteXR positioning. No major bugs reported this month; minor stability and integration refinements were included within feature commits. Business impact includes reduced user friction, higher training realism, and better data fidelity for VR analytics.
February 2025 FarmasiaVR monthly summary: Focused on delivering realism-enhancing VR interaction features. Key outcomes include a box-based Pipette interaction system with area-based state reset and box-only interactions; a LiquidContainer contamination/transfer enhancement that propagates the current liquid type to the target contamination state post-dilution; and VR interaction fidelity improvements via audio, colliders, and PipetteXR positioning. No major bugs reported this month; minor stability and integration refinements were included within feature commits. Business impact includes reduced user friction, higher training realism, and better data fidelity for VR analytics.
January 2025 monthly summary for Farmasia VR development. Delivered ToolsToCabinet Task (New Task) as a V1 feature with localization updates, required-item management, UI/prefab adjustments, task ordering, removal of unnecessary-item penalty, and a quest completion flag to prevent repeated interactions. Also implemented PlateCountMethod scene visual alignment tweaks to ensure consistent object positioning. These changes improve task execution flow, localization coverage, and UI consistency, setting the stage for smoother gameplay and scalable task infrastructure.
January 2025 monthly summary for Farmasia VR development. Delivered ToolsToCabinet Task (New Task) as a V1 feature with localization updates, required-item management, UI/prefab adjustments, task ordering, removal of unnecessary-item penalty, and a quest completion flag to prevent repeated interactions. Also implemented PlateCountMethod scene visual alignment tweaks to ensure consistent object positioning. These changes improve task execution flow, localization coverage, and UI consistency, setting the stage for smoother gameplay and scalable task infrastructure.
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