cs-24-sw-9-xx/MAEPS
Nov 2024 – Jun 2025
8 Months active
Languages Used
C#C++CSharpGit AttributesJSONJavaScriptMarkdownPython
Technical Skills
Algorithm DesignAlgorithm ImplementationAlgorithm ImprovementAlgorithm OptimizationBug FixingC#
Mads Mogensen
PROFILE
Mads Mogensen
Mads Mogensen developed core features and infrastructure for the cs-24-sw-9-xx/MAEPS robotics simulation platform, focusing on scalable swarm coordination, robust pathfinding, and high-performance simulation. He architected component-based patrolling algorithms, introduced distributed knowledge sharing via Virtual Stigmergy, and optimized A* pathfinding with precomputed caching to reduce planning latency. Using C# and Unity, Mads improved memory management, automated CI/CD pipelines, and enforced code compliance through custom analyzers. His work included UI modernization, deterministic robot control, and extensive test automation, resulting in a maintainable, reliable codebase. The depth of his contributions enabled faster iteration, improved simulation fidelity, and streamlined multi-robot deployments.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
188Total
Bugs
29
Commits
188
Features
98
Lines of code
240,421
Activity Months8
Your Network
3 peopleShared Repositories
3
Work History
June 2025
37 Commits • 27 Features
Jun 1, 2025June 2025 MAEPS: Delivered a focused set of memory, performance, and robustness enhancements across the MAEPS repository. Key outcomes include stabilizing memory usage (fixing mesh memory leaks and reducing memory footprint), major pathfinding and rendering optimizations (A* improvements with precomputed path caching and related latency reductions), HMP patrol resilience upgrades (fault-tolerance partition component and a new Single Meeting point variant), multi-robot patrol streamlining (simplified coordination with a distributed idle-based algorithm), and CI/core stability fixes improving release reliability. These changes collectively reduce runtime, improve planning speed, and enable more scalable, reliable autonomous patrol deployments.
37 Commits • 27 Features
Jun 1, 2025June 2025 MAEPS: Delivered a focused set of memory, performance, and robustness enhancements across the MAEPS repository. Key outcomes include stabilizing memory usage (fixing mesh memory leaks and reducing memory footprint), major pathfinding and rendering optimizations (A* improvements with precomputed path caching and related latency reductions), HMP patrol resilience upgrades (fault-tolerance partition component and a new Single Meeting point variant), multi-robot patrol streamlining (simplified coordination with a distributed idle-based algorithm), and CI/core stability fixes improving release reliability. These changes collectively reduce runtime, improve planning speed, and enable more scalable, reliable autonomous patrol deployments.
June 2025
May 2025
72 Commits • 40 Features
May 1, 2025May 2025 monthly summary for MAEPS repository cs-24-sw-9-xx/MAEPS. Delivered foundational enhancements to Virtual Stigmergy, major reliability and performance improvements, and accelerated CI/CD workflows, translating into higher simulation fidelity, faster feedback cycles, and scalable data handling. Highlights include targeted stigmergy tooling, robust testing improvements, and system-level optimizations that reduce runtime and memory usage while maintaining correctness and security.
May 2025
72 Commits • 40 Features
May 1, 2025May 2025 monthly summary for MAEPS repository cs-24-sw-9-xx/MAEPS. Delivered foundational enhancements to Virtual Stigmergy, major reliability and performance improvements, and accelerated CI/CD workflows, translating into higher simulation fidelity, faster feedback cycles, and scalable data handling. Highlights include targeted stigmergy tooling, robust testing improvements, and system-level optimizations that reduce runtime and memory usage while maintaining correctness and security.
April 2025
6 Commits • 3 Features
Apr 1, 2025Month: 2025-04 | Repository: cs-24-sw-9-xx/MAEPS Overview: Focused on security/compliance in CI, API safety for core data structures, and simplifying map data models to reduce maintenance and improve reliability. Key deliverables include CI-enforced forbidden knowledge checks, safer Virtual Stigmergy access patterns, and a simplified bitmap coordinate system. Key deliverables: - Forbidden Knowledge Enforcement in CI: Introduced ForbiddenKnowledgeAttribute and ForbiddenKnowledgeAnalyzer to prevent access to restricted methods/properties/constructors in algorithms and components; integrated ProjectAuditCI to enable proactive compliance checks in CI pipelines. Commits: 2b6903e7ec21cb13b13d13f9ffee3aa434d2e7fe; 713c19cafb0f9b3dfdfd5914ca97c9c9dfa5a475. - Virtual Stigmergy API improvements and release-build safety: Made key type generic, adopted TryGet-style accessors for safer data retrieval, and addressed release build stability by validating retrieval success before assertions. Commits: e3564049b246146fa2f4f2de95b9e7a5e5a1740a; 38a01ca1725f048b95f1b02fbb94f72ca7bb36e1; 6a8a58c3755ebd55c2f006ca169903615e301f93. - Bitmap coordinate system simplification: Refactor Bitmap to simplify the coordinate system by removing explicit XStart and YStart properties and relying on Width and Height, impacting map generation and related utilities. Commit: 04445a55cd15ac7d7d8d53005ebdc7c73875965f. Impact and outcomes: - Strengthened CI security/compliance posture and proactive detection of restricted access in algorithms. - Improved data access safety and release reliability for core structures. - Reduced maintenance overhead with a streamlined map data model. Technologies/skills demonstrated: - C# generics, TryGet-style accessors, type-safe API design - CI integration and automated policy checks - Refactoring with downstream impact management Business value: - Lowered risk of non-compliant code reaching production, faster feedback loops in CI, and more stable releases with simplified map utilities.
6 Commits • 3 Features
Apr 1, 2025Month: 2025-04 | Repository: cs-24-sw-9-xx/MAEPS Overview: Focused on security/compliance in CI, API safety for core data structures, and simplifying map data models to reduce maintenance and improve reliability. Key deliverables include CI-enforced forbidden knowledge checks, safer Virtual Stigmergy access patterns, and a simplified bitmap coordinate system. Key deliverables: - Forbidden Knowledge Enforcement in CI: Introduced ForbiddenKnowledgeAttribute and ForbiddenKnowledgeAnalyzer to prevent access to restricted methods/properties/constructors in algorithms and components; integrated ProjectAuditCI to enable proactive compliance checks in CI pipelines. Commits: 2b6903e7ec21cb13b13d13f9ffee3aa434d2e7fe; 713c19cafb0f9b3dfdfd5914ca97c9c9dfa5a475. - Virtual Stigmergy API improvements and release-build safety: Made key type generic, adopted TryGet-style accessors for safer data retrieval, and addressed release build stability by validating retrieval success before assertions. Commits: e3564049b246146fa2f4f2de95b9e7a5e5a1740a; 38a01ca1725f048b95f1b02fbb94f72ca7bb36e1; 6a8a58c3755ebd55c2f006ca169903615e301f93. - Bitmap coordinate system simplification: Refactor Bitmap to simplify the coordinate system by removing explicit XStart and YStart properties and relying on Width and Height, impacting map generation and related utilities. Commit: 04445a55cd15ac7d7d8d53005ebdc7c73875965f. Impact and outcomes: - Strengthened CI security/compliance posture and proactive detection of restricted access in algorithms. - Improved data access safety and release reliability for core structures. - Reduced maintenance overhead with a streamlined map data model. Technologies/skills demonstrated: - C# generics, TryGet-style accessors, type-safe API design - CI integration and automated policy checks - Refactoring with downstream impact management Business value: - Lowered risk of non-compliant code reaching production, faster feedback loops in CI, and more stable releases with simplified map utilities.
April 2025
March 2025
16 Commits • 6 Features
Mar 1, 20252025-03 MAEPS monthly summary: Delivered a cohesive set of features across the swarm planning and visibility stack with a strong emphasis on modular architecture, reliability, and maintainability. Key outcomes include a major PatrollingAlgorithm overhaul to a component-based framework with PreUpdate and PostUpdate lifecycles, enabling state-machine style control and easier extension. Introduced GoToNextVertexComponent and AllConnectedWaypointsConnector to support flexible robot navigation and networked waypoint connections, with namespace/build cleanups to support the overhaul. Implemented VirtualStigmergyComponent for distributed knowledge sharing (GET/PUT with conflict resolution) and added unit tests to verify correctness. Enhanced visibility: added a configurable max distance and refactored bitmap usage to Contains checks for simpler data access and improved clarity. Visualization upgrades introduced a gradient edge material and updated rendering while removing the outdated Vertex LOS visualizer to focus on critical communication zones. Swarm startup synchronization gained with StartupComponent, enabling robot 0 to perform initial computation and broadcast results (and disabling unreachable robots) to ensure synchronized startup. Code quality, documentation, and maintenance improved via DebugInfo support, documentation/license refresh, and cleanup work. Business value: faster, scalable feature delivery; improved swarm reliability and predictability; easier maintenance and onboarding; stronger traceability of changes across commits.
March 2025
16 Commits • 6 Features
Mar 1, 20252025-03 MAEPS monthly summary: Delivered a cohesive set of features across the swarm planning and visibility stack with a strong emphasis on modular architecture, reliability, and maintainability. Key outcomes include a major PatrollingAlgorithm overhaul to a component-based framework with PreUpdate and PostUpdate lifecycles, enabling state-machine style control and easier extension. Introduced GoToNextVertexComponent and AllConnectedWaypointsConnector to support flexible robot navigation and networked waypoint connections, with namespace/build cleanups to support the overhaul. Implemented VirtualStigmergyComponent for distributed knowledge sharing (GET/PUT with conflict resolution) and added unit tests to verify correctness. Enhanced visibility: added a configurable max distance and refactored bitmap usage to Contains checks for simpler data access and improved clarity. Visualization upgrades introduced a gradient edge material and updated rendering while removing the outdated Vertex LOS visualizer to focus on critical communication zones. Swarm startup synchronization gained with StartupComponent, enabling robot 0 to perform initial computation and broadcast results (and disabling unreachable robots) to ensure synchronized startup. Code quality, documentation, and maintenance improved via DebugInfo support, documentation/license refresh, and cleanup work. Business value: faster, scalable feature delivery; improved swarm reliability and predictability; easier maintenance and onboarding; stronger traceability of changes across commits.
February 2025
18 Commits • 4 Features
Feb 1, 2025Feb 2025 MAEPS: UI overhaul, LOS performance optimizations, deterministic robot control, and platform upgrade. These efforts deliver a modern UI, faster visibility calculations, reproducible robot simulations, and faster, more stable builds, driving user productivity and system reliability. Major bugs fixed include visibility correctness fixes and camera control stability, enhancing user experience and testability.
18 Commits • 4 Features
Feb 1, 2025Feb 2025 MAEPS: UI overhaul, LOS performance optimizations, deterministic robot control, and platform upgrade. These efforts deliver a modern UI, faster visibility calculations, reproducible robot simulations, and faster, more stable builds, driving user productivity and system reliability. Major bugs fixed include visibility correctness fixes and camera control stability, enhancing user experience and testability.
February 2025
January 2025
8 Commits • 4 Features
Jan 1, 2025January 2025 MAEPS monthly summary: Delivered major features, fixed critical bugs, and improved performance across cs-24-sw-9-xx/MAEPS. Business value realized through more reliable patrolling coordination, faster CI pipelines, and a cleaner, maintainable codebase. Notable commits include fixes for patrolling scrolling and missing scripts in DefaultVisualizer, along with AI coordination and performance refactors highlighting the team’s focus on reliability and scalability.
January 2025
8 Commits • 4 Features
Jan 1, 2025January 2025 MAEPS monthly summary: Delivered major features, fixed critical bugs, and improved performance across cs-24-sw-9-xx/MAEPS. Business value realized through more reliable patrolling coordination, faster CI pipelines, and a cleaner, maintainable codebase. Notable commits include fixes for patrolling scrolling and missing scripts in DefaultVisualizer, along with AI coordination and performance refactors highlighting the team’s focus on reliability and scalability.
December 2024
4 Commits • 2 Features
Dec 1, 2024December 2024: Delivered improved CI documentation, stabilized Voronoi algorithm during optimization passes, and streamlined dependencies by moving YamlDotNet to NuGet. These changes improve build reliability, runtime stability of core algorithms, and reduce repository size, enabling faster iteration and lower maintenance costs.
4 Commits • 2 Features
Dec 1, 2024December 2024: Delivered improved CI documentation, stabilized Voronoi algorithm during optimization passes, and streamlined dependencies by moving YamlDotNet to NuGet. These changes improve build reliability, runtime stability of core algorithms, and reduce repository size, enabling faster iteration and lower maintenance costs.
December 2024
November 2024
27 Commits • 12 Features
Nov 1, 2024November 2024 performance summary for cs-24-sw-9-xx/MAEPS: Focused on stabilizing core connectivity, expanding packaging and distribution, boosting code quality, and delivering significant pathfinding and rendering improvements. The team delivered new packaging for ROS-TCP-Connector and QuickOutline with a compatibility downgrade to maintain stability, integrated editor tests into CI for faster feedback, and implemented map exploration and performance enhancements. Architectural changes to the raytracing stack (moved to ExplorationTracker) and a Custom A* with precomputation between waypoints laid groundwork for smarter, more responsive navigation. Numerous optimizations (visible tiles, raytracing, removal of static.Find, occlusion culling adjustments) improved runtime performance. Bug fixes across the simulation map stack (vertex cloning, IsCloseToWall removal, collisionMap fixes) increased reliability. Code quality improvements (nullable enablement, formatting, EditorConfig, .gitattributes) reduce technical debt and future maintenance cost. Overall impact: higher stability, faster iteration, and better runtime performance, enabling more frequent, reliable releases and a clearer path to scale.
November 2024
27 Commits • 12 Features
Nov 1, 2024November 2024 performance summary for cs-24-sw-9-xx/MAEPS: Focused on stabilizing core connectivity, expanding packaging and distribution, boosting code quality, and delivering significant pathfinding and rendering improvements. The team delivered new packaging for ROS-TCP-Connector and QuickOutline with a compatibility downgrade to maintain stability, integrated editor tests into CI for faster feedback, and implemented map exploration and performance enhancements. Architectural changes to the raytracing stack (moved to ExplorationTracker) and a Custom A* with precomputation between waypoints laid groundwork for smarter, more responsive navigation. Numerous optimizations (visible tiles, raytracing, removal of static.Find, occlusion culling adjustments) improved runtime performance. Bug fixes across the simulation map stack (vertex cloning, IsCloseToWall removal, collisionMap fixes) increased reliability. Code quality improvements (nullable enablement, formatting, EditorConfig, .gitattributes) reduce technical debt and future maintenance cost. Overall impact: higher stability, faster iteration, and better runtime performance, enabling more frequent, reliable releases and a clearer path to scale.
Activity
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Quality Metrics
Correctness86.0%
Maintainability85.4%
Architecture83.0%
Performance80.8%
AI Usage20.6%
Skills & Technologies
Programming Languages
BashC#C++CSharpGit AttributesHLSLJSONJavaScriptMarkdownPython
Technical Skills
3D ModelingAI PathfindingAPI DesignAlgorithm DesignAlgorithm DevelopmentAlgorithm ImplementationAlgorithm ImprovementAlgorithm OptimizationAlgorithm TestingArray PoolingAsset ManagementAttribute ProgrammingAutomationBackend DevelopmentBenchmarking
Repositories Contributed To
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