DaVinciBot/CoupeDeRobotique
Aug 2024 – May 2025
8 Months active
Languages Used
PythonC++Git AttributesJSONJupyter Notebook
Technical Skills
Embedded SystemsLogging and DebuggingPython ProgrammingC++ programmingembedded systemsrobotics
Romain-CUCHET
PROFILE
Romain-cuchet
Romain Cuchet developed advanced robotics control and planning features for the DaVinciBot/CoupeDeRobotique repository, focusing on reliable actuator management, navigation, and hardware integration. Over eight months, he engineered unified actuator arrays, dual-protocol servo control, and scalable movement management using Python and C++. His work included implementing OR-Tools-based task planning, robust logging, and data visualization to improve debugging and observability. Romain addressed hardware safety by refining enable pin logic and introducing configuration abstractions for servos and steppers. Through code cleanup, documentation, and test-driven enhancements, he delivered maintainable, extensible solutions that improved system reliability, onboarding, and hardware-software integration depth.
Overall Statistics
Feature vs Bugs
81%Features
Repository Contributions
41Total
Bugs
4
Commits
41
Features
17
Lines of code
17,764
Activity Months8
Your Network
8 people
Work History
May 2025
5 Commits • 2 Features
May 1, 2025May 2025: Delivered two high-impact features for DaVinciBot/CoupeDeRobotique that enhance hardware safety, configurability, and testing coverage, enabling safer operation and faster hardware integration.
5 Commits • 2 Features
May 1, 2025May 2025: Delivered two high-impact features for DaVinciBot/CoupeDeRobotique that enhance hardware safety, configurability, and testing coverage, enabling safer operation and faster hardware integration.
May 2025
April 2025
6 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for DaVinciBot/CoupeDeRobotique focused on robust servo control, show-mode capabilities, and reliability improvements that reduce risk and enable smoother performances. Delivered key features with traceable changes and implemented safety/stability fixes to support reliable operation in live environments.
April 2025
6 Commits • 2 Features
Apr 1, 2025April 2025 performance summary for DaVinciBot/CoupeDeRobotique focused on robust servo control, show-mode capabilities, and reliability improvements that reduce risk and enable smoother performances. Delivered key features with traceable changes and implemented safety/stability fixes to support reliable operation in live environments.
March 2025
5 Commits • 1 Features
Mar 1, 2025Month: 2025-03 | Repository: DaVinciBot/CoupeDeRobotique. This month focused on delivering advanced task planning and robust demo capabilities, while stabilizing notebook demonstrations by addressing a division-by-zero issue in the drawing layout.
5 Commits • 1 Features
Mar 1, 2025Month: 2025-03 | Repository: DaVinciBot/CoupeDeRobotique. This month focused on delivering advanced task planning and robust demo capabilities, while stabilizing notebook demonstrations by addressing a division-by-zero issue in the drawing layout.
March 2025
February 2025
13 Commits • 5 Features
Feb 1, 2025February 2025 monthly performance for DaVinciBot/CoupeDeRobotique focused on delivering end-to-end onboarding, planning, and hardware integration improvements, while strengthening code metrics hygiene. Key features delivered include: an Onboarding Jupyter Notebook for a remote robot simulator with PS5 controller onboarding (commit 02b889af519a339d889b8fa4ca76d5a9ec1d52b6); a Task Management System with OR-Tools-based task planning integrated into the main brain (commits 5fc1a628e35a63998bdab1143f4444835a58c72f, 5167d81a56dcdc57797e30873560bc9670504ca9, f4c05408368d17ae9308046e40656fa5e2589275, 8079977b981368a970ee36e06446e29d788c7271); Movement and Pathfinding enhancements including a static pathfinding refactor and improved logging (commits 0b54127fe75d4cb0dc36bed86fb0093c0bf55560, fab13b8c6ebc4a225d7897b5b42acb84568b43ee, abd6b0b6558850aba76b48f91dbbc4539f38b402, 33d88e717fd3a51f4b6cd6c1475673ca021f77a2, fca919482b90c05c94b461ad9f3a11aa846e9436); Actuator Control Refactor and GPIO Tracking with improved update_servo behavior and serial baud rate configuration (0434e6ac0d8d13f18635594ab06f652644ca153c); and Notebook Git Metrics Hygiene to improve code metrics accuracy by configuring .gitattributes and ignoring .ipynb files (commits 301ea4a5358f2d7101902cd5dec1f2fbcbf9d642, 8318c2c3e6d7e152c09a5bf8ea82fce666d1960f). Major bugs fixed this month include stabilization efforts in MovementManager and pathfinding initialization (0b54127fe75d4cb0dc36bed86fb0093c0bf55560, fab13b8c6ebc4a225d7897b5b42acb84568b43ee, abd6b0b6558850aba76b48f91dbbc4539f38b402, 33d88e717fd3a51f4b6cd6c1475673ca021f77a2, fca919482b90c05c94b461ad9f3a11aa846e9436) and actuator communication/servo update fixes (0434e6ac0d8d13f18635594ab06f652644ca153c). A note on ongoing work references a non-functional TODO state in MovementManager with planned improvements. Overall impact and business value: onboarding is accelerated, planning throughput is improved through OR-Tools optimization, simulation and hardware interfacing are more reliable, and engineering metrics are cleaner. Demonstrated technologies include Python class design for Task/TaskPlan, OR-Tools optimization, static pathfinding, logging/arena visualization, GPIO/hardware tracking, and Git metrics hygiene.
February 2025
13 Commits • 5 Features
Feb 1, 2025February 2025 monthly performance for DaVinciBot/CoupeDeRobotique focused on delivering end-to-end onboarding, planning, and hardware integration improvements, while strengthening code metrics hygiene. Key features delivered include: an Onboarding Jupyter Notebook for a remote robot simulator with PS5 controller onboarding (commit 02b889af519a339d889b8fa4ca76d5a9ec1d52b6); a Task Management System with OR-Tools-based task planning integrated into the main brain (commits 5fc1a628e35a63998bdab1143f4444835a58c72f, 5167d81a56dcdc57797e30873560bc9670504ca9, f4c05408368d17ae9308046e40656fa5e2589275, 8079977b981368a970ee36e06446e29d788c7271); Movement and Pathfinding enhancements including a static pathfinding refactor and improved logging (commits 0b54127fe75d4cb0dc36bed86fb0093c0bf55560, fab13b8c6ebc4a225d7897b5b42acb84568b43ee, abd6b0b6558850aba76b48f91dbbc4539f38b402, 33d88e717fd3a51f4b6cd6c1475673ca021f77a2, fca919482b90c05c94b461ad9f3a11aa846e9436); Actuator Control Refactor and GPIO Tracking with improved update_servo behavior and serial baud rate configuration (0434e6ac0d8d13f18635594ab06f652644ca153c); and Notebook Git Metrics Hygiene to improve code metrics accuracy by configuring .gitattributes and ignoring .ipynb files (commits 301ea4a5358f2d7101902cd5dec1f2fbcbf9d642, 8318c2c3e6d7e152c09a5bf8ea82fce666d1960f). Major bugs fixed this month include stabilization efforts in MovementManager and pathfinding initialization (0b54127fe75d4cb0dc36bed86fb0093c0bf55560, fab13b8c6ebc4a225d7897b5b42acb84568b43ee, abd6b0b6558850aba76b48f91dbbc4539f38b402, 33d88e717fd3a51f4b6cd6c1475673ca021f77a2, fca919482b90c05c94b461ad9f3a11aa846e9436) and actuator communication/servo update fixes (0434e6ac0d8d13f18635594ab06f652644ca153c). A note on ongoing work references a non-functional TODO state in MovementManager with planned improvements. Overall impact and business value: onboarding is accelerated, planning throughput is improved through OR-Tools optimization, simulation and hardware interfacing are more reliable, and engineering metrics are cleaner. Demonstrated technologies include Python class design for Task/TaskPlan, OR-Tools optimization, static pathfinding, logging/arena visualization, GPIO/hardware tracking, and Git metrics hygiene.
January 2025
5 Commits • 3 Features
Jan 1, 2025January 2025: Established a scalable navigation and control base, enhanced observability, and introduced concurrency support for multi-brain operation in DaVinciBot/CoupeDeRobotique. Delivered Movement Manager foundation with compute_go_to_destination and arena visualization, implemented execution-time logging, and added Brain activation logic to support concurrent tasks. Performed code cleanup to stabilize arena visuals and improve maintainability, positioning the project for faster iteration and improved reliability.
5 Commits • 3 Features
Jan 1, 2025January 2025: Established a scalable navigation and control base, enhanced observability, and introduced concurrency support for multi-brain operation in DaVinciBot/CoupeDeRobotique. Delivered Movement Manager foundation with compute_go_to_destination and arena visualization, implemented execution-time logging, and added Brain activation logic to support concurrent tasks. Performed code cleanup to stabilize arena visuals and improve maintainability, positioning the project for faster iteration and improved reliability.
January 2025
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024: Delivered key arena enhancements for DaVinciBot/CoupeDeRobotique, including a Navigability enum and enhanced visualization for arena zones, plus code cleanup and documentation for future work. The changes improve clarity, testing, and maintainability, setting the stage for continued arena.py development and more reliable autonomous navigation.
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024: Delivered key arena enhancements for DaVinciBot/CoupeDeRobotique, including a Navigability enum and enhanced visualization for arena zones, plus code cleanup and documentation for future work. The changes improve clarity, testing, and maintainability, setting the stage for continued arena.py development and more reliable autonomous navigation.
September 2024
3 Commits • 2 Features
Sep 1, 20242024-09 performance month for DaVinciBot/CoupeDeRobotique focused on motor control reliability, maintainability, and runtime efficiency. Delivered two major features: (1) Unified Actuator Management and Initialization — refactored actuator initialization to a unified actuator array, removing redundant checks and simplifying main.cpp usage; (2) Servo Detachment Memory Optimization — reused servo instances to reduce allocations and improve detachment performance. These changes decrease bug-surface, lower memory footprint, and lead to faster, more predictable actuator readiness.
3 Commits • 2 Features
Sep 1, 20242024-09 performance month for DaVinciBot/CoupeDeRobotique focused on motor control reliability, maintainability, and runtime efficiency. Delivered two major features: (1) Unified Actuator Management and Initialization — refactored actuator initialization to a unified actuator array, removing redundant checks and simplifying main.cpp usage; (2) Servo Detachment Memory Optimization — reused servo instances to reduce allocations and improve detachment performance. These changes decrease bug-surface, lower memory footprint, and lead to faster, more predictable actuator readiness.
September 2024
August 2024
1 Commits • 1 Features
Aug 1, 2024August 2024 monthly summary for DaVinciBot/CoupeDeRobotique: Delivered the TeensyGpioManager feature to control actuator GPIOs, integrated into the Teensy communication class with dynamic GPIO pin management and validation, and enhanced logging for GPIO operations. No major bugs fixed this month; focus remained on stabilizing the GPIO subsystem and improving observability. Overall impact: increased reliability and flexibility of actuator control, faster debugging, and a foundation for scalable hardware integration. Technologies/skills demonstrated: Python-based GPIO management, embedded system integration (Teensy), robust logging, dynamic configuration, and cross-module collaboration.
August 2024
1 Commits • 1 Features
Aug 1, 2024August 2024 monthly summary for DaVinciBot/CoupeDeRobotique: Delivered the TeensyGpioManager feature to control actuator GPIOs, integrated into the Teensy communication class with dynamic GPIO pin management and validation, and enhanced logging for GPIO operations. No major bugs fixed this month; focus remained on stabilizing the GPIO subsystem and improving observability. Overall impact: increased reliability and flexibility of actuator control, faster debugging, and a foundation for scalable hardware integration. Technologies/skills demonstrated: Python-based GPIO management, embedded system integration (Teensy), robust logging, dynamic configuration, and cross-module collaboration.
Activity
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Quality Metrics
Correctness81.4%
Maintainability82.2%
Architecture77.8%
Performance72.4%
AI Usage22.4%
Skills & Technologies
Programming Languages
C++Git AttributesJSONJupyter NotebookPython
Technical Skills
API DesignAlgorithm ImplementationAlgorithm OptimizationAsynchronous ProgrammingBackend DevelopmentBug FixC++C++ programmingClass InheritanceCode CleanupCode DocumentationCommunication ProtocolsConfiguration ManagementConstraint SolvingData Serialization
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