UFABCRocketDesign/newbie_software
Feb 2025 – Sep 2025
7 Months active
Languages Used
Arduino CC++Arduino
Technical Skills
ArduinoData FilteringData LoggingEmbedded SystemsIoTMicrocontrollers
Lucas Ricci
PROFILE
Lucas Ricci
L. L. Ricci developed and maintained embedded flight software for UFABCRocketDesign/newbie_software, delivering over 50 features in seven months. Ricci architected modular sensor integration, robust data logging, and safety-critical systems such as automatic parachute deployment and fall detection. Using C++ and Arduino, Ricci applied object-oriented design, code refactoring, and modularization to improve maintainability and enable reliable sensor fusion across accelerometers, gyroscopes, and environmental sensors. The work included SD card data capture, real-time telemetry, and configurable startup sequences, supporting both field diagnostics and post-flight analysis. Ricci’s disciplined, incremental approach resulted in a stable, extensible codebase for autonomous flight operations.
Overall Statistics
Feature vs Bugs
93%Features
Repository Contributions
162Total
Bugs
4
Commits
162
Features
50
Lines of code
4,604
Activity Months7
Your Network
17 peopleWork History
September 2025
18 Commits • 3 Features
Sep 1, 2025Month: 2025-09 | Repository: UFABCRocketDesign/newbie_software | Highlights: Implemented end-to-end safety-critical features for autonomous flight with robust testing and risk mitigation. Delivered emergency handling with automatic parachute deployment, plus targeted tuning and validation across multiple parachute instances. Enhanced fall detection reliability and maintained altitude awareness for safer flight operations. Implemented a sensor testing configuration to isolate emergency system behavior during debugging, ensuring safer development cycles. Demonstrated disciplined integrations with incremental commits and clear messaging to support traceability and rapid diagnostics.
18 Commits • 3 Features
Sep 1, 2025Month: 2025-09 | Repository: UFABCRocketDesign/newbie_software | Highlights: Implemented end-to-end safety-critical features for autonomous flight with robust testing and risk mitigation. Delivered emergency handling with automatic parachute deployment, plus targeted tuning and validation across multiple parachute instances. Enhanced fall detection reliability and maintained altitude awareness for safer flight operations. Implemented a sensor testing configuration to isolate emergency system behavior during debugging, ensuring safer development cycles. Demonstrated disciplined integrations with incremental commits and clear messaging to support traceability and rapid diagnostics.
September 2025
August 2025
30 Commits • 12 Features
Aug 1, 2025Monthly summary for 2025-08: Delivered key features and architectural refinements for UFABCRocketDesign/newbie_software to improve stability, startup performance, and maintainability. Highlights include library/framework updates to reduce risk, inheritance improvements for cleaner models, and a new Iteration Counter for telemetry. Also advanced code modularization (Modularização, Modularização doAll, Vida dos Paraquedas) and startup sequencing (Liftoff and Liftoff & WUF) for faster, more reliable boot. Sensor recalibration and buzzer integration were incorporated to enhance system robustness, with ongoing debugging to resolve issues. Major debugging efforts fixed critical code issues, improving overall reliability and predictability. Overall impact: reduced technical debt, faster feature delivery, and more reliable flight data. Technologies/skills demonstrated: dependency management, refactoring and modular design, embedded lifecycle handling, sensor calibration, and thorough debugging.
August 2025
30 Commits • 12 Features
Aug 1, 2025Monthly summary for 2025-08: Delivered key features and architectural refinements for UFABCRocketDesign/newbie_software to improve stability, startup performance, and maintainability. Highlights include library/framework updates to reduce risk, inheritance improvements for cleaner models, and a new Iteration Counter for telemetry. Also advanced code modularization (Modularização, Modularização doAll, Vida dos Paraquedas) and startup sequencing (Liftoff and Liftoff & WUF) for faster, more reliable boot. Sensor recalibration and buzzer integration were incorporated to enhance system robustness, with ongoing debugging to resolve issues. Major debugging efforts fixed critical code issues, improving overall reliability and predictability. Overall impact: reduced technical debt, faster feature delivery, and more reliable flight data. Technologies/skills demonstrated: dependency management, refactoring and modular design, embedded lifecycle handling, sensor calibration, and thorough debugging.
July 2025
17 Commits • 3 Features
Jul 1, 2025July 2025 monthly work summary for UFABCRocketDesign/newbie_software: Implemented and integrated a core sensor suite to enable environmental sensing and motion/orientation data pathways. Established consistent APIs and data processing groundwork supporting navigation features; prepared the codebase for further attitude estimation and sensor fusion.
17 Commits • 3 Features
Jul 1, 2025July 2025 monthly work summary for UFABCRocketDesign/newbie_software: Implemented and integrated a core sensor suite to enable environmental sensing and motion/orientation data pathways. Established consistent APIs and data processing groundwork supporting navigation features; prepared the codebase for further attitude estimation and sensor fusion.
July 2025
May 2025
7 Commits • 2 Features
May 1, 2025May 2025 monthly summary for UFABCRocketDesign/newbie_software focusing on delivering modular features and improving maintainability. No explicit critical bugs fixed this month; main effort was refactoring to improve code organization, reuse, and integration with filtered altitude data.
May 2025
7 Commits • 2 Features
May 1, 2025May 2025 monthly summary for UFABCRocketDesign/newbie_software focusing on delivering modular features and improving maintainability. No explicit critical bugs fixed this month; main effort was refactoring to improve code organization, reuse, and integration with filtered altitude data.
April 2025
5 Commits • 1 Features
Apr 1, 2025Month: 2025-04 — Performance-review-ready monthly summary for UFABCRocketDesign/newbie_software. Focused on delivering a robust Parachute Deployment System through an Object-Oriented Refactor (Paraquedas) with configurable activation and per-parachute ignition. Key work includes introducing the Paraquedas class to manage parachute state and activation, with object-oriented design, configurable ignition pins, altitude-based triggering, and activation/deactivation timing. Includes per-parachute ignition pin assignments and debugging toggles for development (e.g., SD card feature). No explicit major bugs reported this month; all changes center on feature delivery and maintainability. Overall impact: improved deployment reliability, modular design, and traceability. Technologies/skills demonstrated: object-oriented design in embedded systems, per-parachute configuration, state management, debugging feature integration, commit-based traceability.
5 Commits • 1 Features
Apr 1, 2025Month: 2025-04 — Performance-review-ready monthly summary for UFABCRocketDesign/newbie_software. Focused on delivering a robust Parachute Deployment System through an Object-Oriented Refactor (Paraquedas) with configurable activation and per-parachute ignition. Key work includes introducing the Paraquedas class to manage parachute state and activation, with object-oriented design, configurable ignition pins, altitude-based triggering, and activation/deactivation timing. Includes per-parachute ignition pin assignments and debugging toggles for development (e.g., SD card feature). No explicit major bugs reported this month; all changes center on feature delivery and maintainability. Overall impact: improved deployment reliability, modular design, and traceability. Technologies/skills demonstrated: object-oriented design in embedded systems, per-parachute configuration, state management, debugging feature integration, commit-based traceability.
April 2025
March 2025
62 Commits • 21 Features
Mar 1, 2025March 2025 was a delivery-focused month for UFABCRocketDesign/newbie_software, delivering core capabilities across sensing, data handling, and system architecture while improving maintainability and extensibility. Key features and subsystem work included a new Transdutor module with saving to SD, a robust parachute subsystem with multiple iterations and releases, and extensive integration of sensors and data transmission. The team also implemented a configurable file-naming system, refined time handling, and completed notable code quality improvements, including a shift to camelCase naming and an object-oriented refactor.
March 2025
62 Commits • 21 Features
Mar 1, 2025March 2025 was a delivery-focused month for UFABCRocketDesign/newbie_software, delivering core capabilities across sensing, data handling, and system architecture while improving maintainability and extensibility. Key features and subsystem work included a new Transdutor module with saving to SD, a robust parachute subsystem with multiple iterations and releases, and extensive integration of sensors and data transmission. The team also implemented a configurable file-naming system, refined time handling, and completed notable code quality improvements, including a shift to camelCase naming and an object-oriented refactor.
February 2025
23 Commits • 8 Features
Feb 1, 2025February 2025 (2025-02) - Monthly software development summary for UFABCRocketDesign/newbie_software. Focus this month was on stabilizing the sensor data pipeline, expanding data logging capabilities, and delivering robust integration across sensors and modules. The work enhances reliability, data fidelity, and operational value for the field use-case. Key features delivered: - L_Ricci.ino integration updated: Enabled L_Ricci integration with the firmware (commit 26a87981fc22956763b8a7ce386f144e8bedf6b8). Value: improved accuracy and consistency of Ricci-based readings. - Blink module update: Updated Blink module implementation (commit 72c5a3c97ec99d616c141d21d737615c166969d9). Value: clearer status signaling and timing control for sensor operations. - BMP processing updates: Comprehensive updates to BMP handling across seven commits (d0352221f244f69bdb59626eb1094585a0b7d001; 51213bc0c30ad9001c699a06585868c773a6b120; 7ac62aa8812ef4313c119e4896cf529a76b6ef50; 5621f5a451fcf3939e2c9f6c02a611a49ea2d69c; 4c3a713a601b53eff163b8993acb988286aeeba4; 2cf577ac0528bf7d59349be4caeefee4c0150cff; 0437ed194cc9897eee33b1b19141de78d4e68510). Value: more robust BMP data capture and processing. - Altitude raw data acquisition: Raw altitude data collection/handling updates (216b4c6872556b9e918427d3e1ed710f8cf10ac6; f8b09d286214b263116616236712ac410ef5df7b; 6839e8f808cb4b1b989b17ff43dfbfc7cc6c301a). Value: more reliable altitude measurements with consistent sampling. - Altitude smoothing: Smoothing implementation to stabilize altitude estimates (commit 1f5963daa5d4acbf0351cd403ed798050b0f83d4). Value: reduced jitter in altitude readings. - Altitude filtering: Altitude data filtering adjustments (488c211f55e266e57617799e2fcf9fac0444e2f2; 7f343c57892c2ca36e1b18ccb05425d1bb27d68a). Value: improved precision and noise suppression in altitude estimates. - Altitude Filtrada: Implementar filtrado de altitud para mejorar la precisión de la lectura de altura (06cca40f3e1efac9ff9561c22f71d5c01c89cdd7; 6b13bf09c2231f2b0fa908e3ab60896a1fba942d). Value: enhanced altitude accuracy through calibrated filtering. - Detector de caída (fall detector): Bug fixes to ensure reliable fall detection across diverse scenarios (8340ca3e0612e0ae964ad3ba6f0739da9ed299ef; 48c7e289c74ec65a92f0c790acf66b400d37df6c; e72f953eec7571d3a5bb4b747f953390b160d48c; c3a6e5a626f48f59c0804f3ebb772e048df9064d; 202e2781da7961c24596438fea1699aaeea993e2). - SD Datalogger: Added SD Datalogger support for local data storage (cfaaef58191b33f77176ea54e7cc05c03c3e95c3). Value: enables offline data capture for post-mission analysis and fault investigation. Major bugs fixed: - Deterministic fall detection across varied scenarios, reducing false negatives/positives and improving safety margins. - Stabilization of altitude readings through end-to-end data path adjustments and filtering to minimize drift and jitter. Overall impact and accomplishments: - End-to-end sensor integration and data quality improvements enable more reliable mission outcomes and quicker diagnostics in the field. - The project now supports richer data logging and post-flight analysis, supporting performance reviews and continuous improvements. - The team demonstrated capability to manage complex firmware updates across multiple subsystems with coherent integration. Technologies/skills demonstrated: - Embedded firmware development in C/C++ (Arduino-style environment), sensor fusion and data processing techniques (smoothing, filtering). - Hardware integration with L_Ricci, Blink, BMP sensors, altitude sensors, fall detection, and SD card datalogging. - Version control discipline and incremental delivery across many commits, including localization-friendly commit messages. - Data logging and offline analysis readiness via SD Datalogger integration.
23 Commits • 8 Features
Feb 1, 2025February 2025 (2025-02) - Monthly software development summary for UFABCRocketDesign/newbie_software. Focus this month was on stabilizing the sensor data pipeline, expanding data logging capabilities, and delivering robust integration across sensors and modules. The work enhances reliability, data fidelity, and operational value for the field use-case. Key features delivered: - L_Ricci.ino integration updated: Enabled L_Ricci integration with the firmware (commit 26a87981fc22956763b8a7ce386f144e8bedf6b8). Value: improved accuracy and consistency of Ricci-based readings. - Blink module update: Updated Blink module implementation (commit 72c5a3c97ec99d616c141d21d737615c166969d9). Value: clearer status signaling and timing control for sensor operations. - BMP processing updates: Comprehensive updates to BMP handling across seven commits (d0352221f244f69bdb59626eb1094585a0b7d001; 51213bc0c30ad9001c699a06585868c773a6b120; 7ac62aa8812ef4313c119e4896cf529a76b6ef50; 5621f5a451fcf3939e2c9f6c02a611a49ea2d69c; 4c3a713a601b53eff163b8993acb988286aeeba4; 2cf577ac0528bf7d59349be4caeefee4c0150cff; 0437ed194cc9897eee33b1b19141de78d4e68510). Value: more robust BMP data capture and processing. - Altitude raw data acquisition: Raw altitude data collection/handling updates (216b4c6872556b9e918427d3e1ed710f8cf10ac6; f8b09d286214b263116616236712ac410ef5df7b; 6839e8f808cb4b1b989b17ff43dfbfc7cc6c301a). Value: more reliable altitude measurements with consistent sampling. - Altitude smoothing: Smoothing implementation to stabilize altitude estimates (commit 1f5963daa5d4acbf0351cd403ed798050b0f83d4). Value: reduced jitter in altitude readings. - Altitude filtering: Altitude data filtering adjustments (488c211f55e266e57617799e2fcf9fac0444e2f2; 7f343c57892c2ca36e1b18ccb05425d1bb27d68a). Value: improved precision and noise suppression in altitude estimates. - Altitude Filtrada: Implementar filtrado de altitud para mejorar la precisión de la lectura de altura (06cca40f3e1efac9ff9561c22f71d5c01c89cdd7; 6b13bf09c2231f2b0fa908e3ab60896a1fba942d). Value: enhanced altitude accuracy through calibrated filtering. - Detector de caída (fall detector): Bug fixes to ensure reliable fall detection across diverse scenarios (8340ca3e0612e0ae964ad3ba6f0739da9ed299ef; 48c7e289c74ec65a92f0c790acf66b400d37df6c; e72f953eec7571d3a5bb4b747f953390b160d48c; c3a6e5a626f48f59c0804f3ebb772e048df9064d; 202e2781da7961c24596438fea1699aaeea993e2). - SD Datalogger: Added SD Datalogger support for local data storage (cfaaef58191b33f77176ea54e7cc05c03c3e95c3). Value: enables offline data capture for post-mission analysis and fault investigation. Major bugs fixed: - Deterministic fall detection across varied scenarios, reducing false negatives/positives and improving safety margins. - Stabilization of altitude readings through end-to-end data path adjustments and filtering to minimize drift and jitter. Overall impact and accomplishments: - End-to-end sensor integration and data quality improvements enable more reliable mission outcomes and quicker diagnostics in the field. - The project now supports richer data logging and post-flight analysis, supporting performance reviews and continuous improvements. - The team demonstrated capability to manage complex firmware updates across multiple subsystems with coherent integration. Technologies/skills demonstrated: - Embedded firmware development in C/C++ (Arduino-style environment), sensor fusion and data processing techniques (smoothing, filtering). - Hardware integration with L_Ricci, Blink, BMP sensors, altitude sensors, fall detection, and SD card datalogging. - Version control discipline and incremental delivery across many commits, including localization-friendly commit messages. - Data logging and offline analysis readiness via SD Datalogger integration.
February 2025
Activity
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Quality Metrics
Correctness81.8%
Maintainability84.0%
Architecture72.8%
Performance74.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
ArduinoArduino CC++
Technical Skills
ArduinoC++C++ DevelopmentCode RefactoringData AcquisitionData FilteringData LoggingDebuggingEmbedded SystemsFile ManagementFile Naming ConventionsFirmware DevelopmentHardware IntegrationHardware InterfacingHeader File Management
Repositories Contributed To
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