DaVinciBot/CoupeDeRobotique
Dec 2024 – May 2025
5 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 and stability improvements for the DaVinciBot/CoupeDeRobotique repository over five months, focusing on autonomous navigation, actuator control, and robust system integration. Delivered modules for A* path planning, objective management with enemy tracking, and arena safety enforcement, using Python and C++ to implement algorithms and real-time communication protocols. Enhanced reliability through extensive bug fixes, input validation, and expanded test coverage, while refactoring code for maintainability. Integrated hardware interaction and sensor data processing for precise motion control and navigation. The work established a scalable foundation for strategy development, supporting future enhancements in robotics control and autonomous decision-making.
Overall Statistics
Feature vs Bugs
51%Features
Repository Contributions
246Total
Bugs
27
Commits
246
Features
28
Lines of code
6,394
Activity Months5
Your Network
18 peopleSame Organization
@edu.devinci.fr10
Shared Repositories
8
Work History
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.
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
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.
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.
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.
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
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.
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.
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.
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
Activity
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Quality Metrics
Correctness74.6%
Maintainability80.6%
Architecture66.8%
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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