Artyu24/UdeM1_Ubisoft
Feb 2025 – Apr 2025
3 Months active
Languages Used
C#UnityYAML
Technical Skills
AI ProgrammingAsset IntegrationCamera SystemsCinemachineGame DevelopmentNavigation Mesh
Thoma-fr
PROFILE
Thoma-fr
Thomas Raulin developed core gameplay and AI systems for the Artyu24/UdeM1_Ubisoft repository over three months, focusing on Unity and C#. He established foundational camera controls using Cinemachine and built a modular AI framework supporting perception, navigation, and player interaction, including behaviors like chasing, fleeing, and environmental reactions such as slipping and falling. His work included refactoring AI scripts for multi-NPC support, integrating NavMesh navigation, and enhancing scene management for rapid prototyping. By improving prefab architecture and physics reliability, Thomas enabled richer, more resilient gameplay scenarios and streamlined iteration, demonstrating depth in AI programming, asset integration, and object-oriented design.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
16Total
Bugs
1
Commits
16
Features
6
Lines of code
80,939
Activity Months3
Your Network
6 people
Work History
April 2025
3 Commits • 2 Features
Apr 1, 2025Month: 2025-04 Concise monthly summary focused on feature delivery, engineering improvements, and business impact for Artyu24/UdeM1_Ubisoft. Key features delivered and improvements: - AI Entities and Navigation Core: Introduced CHASE, RUNAWAY, and WANDER AI behaviors, a Sign prefab, and a refactor of AI scripting (AICleaner and AIScript) to support multiple NPC types and behaviors. Navmesh settings and AITest.unity scene adjusted to enable and test the new AI entities. - AI Cleaner Mechanics and Environmental Interactions: Added AI Cleaner prefab family (AI Cleaner, CleanerRoom, FullSetCleaner) with slip mechanics for AI agents, including falling and sliding behaviors to improve AI interaction with the environment. Impact and accomplishments: - Enhanced NPC capabilities and modular AI design to support diverse agent behaviors and easier future expansions, accelerating gameplay tuning and content creation. - Improved environment-aware AI interactions, enabling more realistic movement and resilience in complex scenes. - Clear traceability of work with explicit commits mapped to features and refinements. Technologies and skills demonstrated: - Unity AI scripting, navmesh configuration, scene setup (AINav, AITest.unity) - Component-based prefab architecture (AI Cleaner family, Sign prefab) - Refactoring for multi-NPC support (AICleaner, AIScript) - Environment interaction design (slip, fall, slide mechanics) Top achievements (selected): - AI Entities and Navigation Core implemented and wired into testing scene. - AI Cleaner mechanics added for richer environmental interaction. - Build/refactor readiness for future NPC variations and behaviors.
3 Commits • 2 Features
Apr 1, 2025Month: 2025-04 Concise monthly summary focused on feature delivery, engineering improvements, and business impact for Artyu24/UdeM1_Ubisoft. Key features delivered and improvements: - AI Entities and Navigation Core: Introduced CHASE, RUNAWAY, and WANDER AI behaviors, a Sign prefab, and a refactor of AI scripting (AICleaner and AIScript) to support multiple NPC types and behaviors. Navmesh settings and AITest.unity scene adjusted to enable and test the new AI entities. - AI Cleaner Mechanics and Environmental Interactions: Added AI Cleaner prefab family (AI Cleaner, CleanerRoom, FullSetCleaner) with slip mechanics for AI agents, including falling and sliding behaviors to improve AI interaction with the environment. Impact and accomplishments: - Enhanced NPC capabilities and modular AI design to support diverse agent behaviors and easier future expansions, accelerating gameplay tuning and content creation. - Improved environment-aware AI interactions, enabling more realistic movement and resilience in complex scenes. - Clear traceability of work with explicit commits mapped to features and refinements. Technologies and skills demonstrated: - Unity AI scripting, navmesh configuration, scene setup (AINav, AITest.unity) - Component-based prefab architecture (AI Cleaner family, Sign prefab) - Refactoring for multi-NPC support (AICleaner, AIScript) - Environment interaction design (slip, fall, slide mechanics) Top achievements (selected): - AI Entities and Navigation Core implemented and wired into testing scene. - AI Cleaner mechanics added for richer environmental interaction. - Build/refactor readiness for future NPC variations and behaviors.
April 2025
March 2025
9 Commits • 2 Features
Mar 1, 2025March 2025 monthly performance for Artyu24/UdeM1_Ubisoft focused on delivering a robust AI-driven gameplay prototype, a reliable demo scene, and ensuring physics reliability for prototyping. Key outcomes include a consolidated AI system capable of perception, behavior, and player interaction with LOS refactor and SOLID improvements; a ready-to-use demo scene camera and input pipeline using Cinemachine; and physics robustness through prefab collider cleanup. These changes enable richer play experiences, faster prototyping, and a stable testbed for evaluating AI behaviors while reducing debugging time across iterations.
March 2025
9 Commits • 2 Features
Mar 1, 2025March 2025 monthly performance for Artyu24/UdeM1_Ubisoft focused on delivering a robust AI-driven gameplay prototype, a reliable demo scene, and ensuring physics reliability for prototyping. Key outcomes include a consolidated AI system capable of perception, behavior, and player interaction with LOS refactor and SOLID improvements; a ready-to-use demo scene camera and input pipeline using Cinemachine; and physics robustness through prefab collider cleanup. These changes enable richer play experiences, faster prototyping, and a stable testbed for evaluating AI behaviors while reducing debugging time across iterations.
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for Artyu24/UdeM1_Ubisoft. Focused on delivering foundational camera dynamics and AI-driven scene integration to enable richer gameplay experiences and faster iteration cycles. Delivered camera system groundwork with basic scene setup, multi-target follow scaffolding, and editor tooling to support rapid experimentation. Initiated AI system integration with base NavMeshAgent behavior, scene integration, and initial raycast-based interest point detection, establishing AI and map layers for future behavior. No formal bug fixes logged this month; emphasis was on stabilization, tooling, and foundation work to support upcoming milestones.
4 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for Artyu24/UdeM1_Ubisoft. Focused on delivering foundational camera dynamics and AI-driven scene integration to enable richer gameplay experiences and faster iteration cycles. Delivered camera system groundwork with basic scene setup, multi-target follow scaffolding, and editor tooling to support rapid experimentation. Initiated AI system integration with base NavMeshAgent behavior, scene integration, and initial raycast-based interest point detection, establishing AI and map layers for future behavior. No formal bug fixes logged this month; emphasis was on stabilization, tooling, and foundation work to support upcoming milestones.
February 2025
Activity
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Quality Metrics
Correctness81.2%
Maintainability82.4%
Architecture80.0%
Performance72.4%
AI Usage38.8%
Skills & Technologies
Programming Languages
C#UnityYAML
Technical Skills
3D ModelingAI DevelopmentAI IntegrationAI ProgrammingAsset IntegrationBehavior TreesC#Camera SystemsCharacter ControllerCinemachineCollision DetectionEvent HandlingGame DevelopmentNavMeshNavigation Mesh
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