DaVinciBot/CoupeDeRobotique
Dec 2024 – May 2026
6 Months active
Languages Used
PythonJavaScriptC++Jupyter Notebook
Technical Skills
Game DevelopmentGeometryRoboticsSpatial ReasoningAI DevelopmentAsynchronous Programming
Faye Anne-Marie
PROFILE
Faye Anne-marie
Developed core robotics features for the DaVinciBot/CoupeDeRobotique repository, focusing on autonomous navigation, real-time obstacle detection, and robust strategy execution. Over six months, delivered 29 features and resolved 27 bugs, implementing systems such as A* path planning, actuator control, and an ultrasonic distance sensor for obstacle avoidance. Leveraged Python and C++ to integrate hardware components, optimize algorithms, and enhance reliability through extensive testing and input validation. Emphasized modular design and maintainable code, introducing centralized objective management and scalable configuration. The work established a foundation for safe, adaptive robot behavior, supporting future enhancements in sensor fusion and autonomous decision-making.
Overall Statistics
Feature vs Bugs
52%Features
Repository Contributions
247Total
Bugs
27
Commits
247
Features
29
Lines of code
6,630
Activity Months6
Your Network
22 peopleSame Organization
@edu.devinci.fr11
Shared Repositories
11
Work History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for DaVinciBot/CoupeDeRobotique: Delivered Ultrasonic Distance Sensor for Obstacle Detection enabling autonomous obstacle avoidance and safer navigation. This feature provides real-time sensing groundwork for reliable autonomous operation and future sensor fusion integration. Commit referenced for traceability.
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for DaVinciBot/CoupeDeRobotique: Delivered Ultrasonic Distance Sensor for Obstacle Detection enabling autonomous obstacle avoidance and safer navigation. This feature provides real-time sensing groundwork for reliable autonomous operation and future sensor fusion integration. Commit referenced for traceability.
May 2026
May 2025
232 Commits • 21 Features
May 1, 2025May 2025 performance highlights for DaVinciBot/CoupeDeRobotique: A strong month focused on reinforcing reliability, expanding testing coverage, and delivering business-value features across core modules. The team stabilized critical data flows, hardened input validation, and improved error handling while enabling new capabilities that enhance planning, scoring, and user experience. Notable progress spans feature development, risk reduction through comprehensive bug fixes, and improvements in observability, configuration, and test infrastructure.
May 2025
232 Commits • 21 Features
May 1, 2025May 2025 performance highlights for DaVinciBot/CoupeDeRobotique: A strong month focused on reinforcing reliability, expanding testing coverage, and delivering business-value features across core modules. The team stabilized critical data flows, hardened input validation, and improved error handling while enabling new capabilities that enhance planning, scoring, and user experience. Notable progress spans feature development, risk reduction through comprehensive bug fixes, and improvements in observability, configuration, and test infrastructure.
April 2025
2 Commits • 1 Features
Apr 1, 2025Month: 2025-04 — Key feature delivery for DaVinciBot/CoupeDeRobotique: A* Path Planning core setup and grid-based path finding; coordinate conversions between absolute and grid coordinates; integration into initialization and parameter handling; tests updated to reflect planner functionality. No critical bugs reported; this work establishes the foundation for autonomous navigation and future enhancements.
2 Commits • 1 Features
Apr 1, 2025Month: 2025-04 — Key feature delivery for DaVinciBot/CoupeDeRobotique: A* Path Planning core setup and grid-based path finding; coordinate conversions between absolute and grid coordinates; integration into initialization and parameter handling; tests updated to reflect planner functionality. No critical bugs reported; this work establishes the foundation for autonomous navigation and future enhancements.
April 2025
February 2025
9 Commits • 4 Features
Feb 1, 2025February 2025: Implemented foundational navigation and actuator capabilities for DaVinciBot/CoupeDeRobotique with stability improvements and clear business value. Key work includes startup initialization and code cleanup, a new go_to movement capability, motion control tuning with PID adjustments, an actuator subsystem overhaul and improved communication, and a bug fix for odometry heading calculation. The month comprised 9 commits across 5 features/bugs, delivering improved startup reliability, navigation accuracy, and control responsiveness to enable faster iteration and safer operations.
February 2025
9 Commits • 4 Features
Feb 1, 2025February 2025: Implemented foundational navigation and actuator capabilities for DaVinciBot/CoupeDeRobotique with stability improvements and clear business value. Key work includes startup initialization and code cleanup, a new go_to movement capability, motion control tuning with PID adjustments, an actuator subsystem overhaul and improved communication, and a bug fix for odometry heading calculation. The month comprised 9 commits across 5 features/bugs, delivering improved startup reliability, navigation accuracy, and control responsiveness to enable faster iteration and safer operations.
January 2025
2 Commits • 1 Features
Jan 1, 2025Month: 2025-01 — Key feature delivered: Robot Objective Management System with Enemy Position Tracking for DaVinciBot/CoupeDeRobotique. Implemented a centralized objectives module to drive robot strategy, enabling enemy-position-aware decision making, priority-based task management, lidar-based vector calculations, and enhanced arena zone handling with visualization support. Major bugs fixed: none reported this month; focus was on integrating and stabilizing the new objectives module. Overall impact: enables smarter autonomous behavior in dynamic environments, improves mission success probability, and provides a scalable foundation for future strategy upgrades. Technologies/skills demonstrated: Python modular design (objectives module), lidar-based vector calculations, arena visualization, and commit-driven development linked to the main brain integration.
2 Commits • 1 Features
Jan 1, 2025Month: 2025-01 — Key feature delivered: Robot Objective Management System with Enemy Position Tracking for DaVinciBot/CoupeDeRobotique. Implemented a centralized objectives module to drive robot strategy, enabling enemy-position-aware decision making, priority-based task management, lidar-based vector calculations, and enhanced arena zone handling with visualization support. Major bugs fixed: none reported this month; focus was on integrating and stabilizing the new objectives module. Overall impact: enables smarter autonomous behavior in dynamic environments, improves mission success probability, and provides a scalable foundation for future strategy upgrades. Technologies/skills demonstrated: Python modular design (objectives module), lidar-based vector calculations, arena visualization, and commit-driven development linked to the main brain integration.
January 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 performance summary for DaVinciBot/CoupeDeRobotique: Delivered a critical arena-safety feature that enhances spatial awareness and rule enforcement by adding position/geometry intersection checks for zones and marking the Rockstar stage as a forbidden zone. This reduces rule violations and guides robots within safe play boundaries, supporting future rule expansions and scalable geometry checks.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 performance summary for DaVinciBot/CoupeDeRobotique: Delivered a critical arena-safety feature that enhances spatial awareness and rule enforcement by adding position/geometry intersection checks for zones and marking the Rockstar stage as a forbidden zone. This reduces rule violations and guides robots within safe play boundaries, supporting future rule expansions and scalable geometry checks.
Activity
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Quality Metrics
Correctness74.6%
Maintainability80.6%
Architecture67.0%
Performance68.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++JavaScriptJupyter NotebookPython
Technical Skills
AI DevelopmentActuator ControlAlgorithm ImplementationAsynchronous ProgrammingAutonomous NavigationBackend DevelopmentBug FixC++Code CleanupCode RefactoringCommunication ProtocolsConfigurationConfiguration ManagementControl SystemsData Structures
Repositories Contributed To
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