Rumarino-Team/hydrus-software-stack
Nov 2024 – Aug 2025
6 Months active
Languages Used
C++CMakeDockerfilePythonROSShellXMLbash
Technical Skills
3D ReconstructionActionlibC++CMakeCode OrganizationCode Refactoring
Cruiz102
PROFILE
Cruiz102
Carlos Ruiz Navarro developed core autonomous and perception capabilities for the Rumarino-Team/hydrus-software-stack, focusing on modular robotics software and streamlined deployment. He engineered action-based navigation, integrated computer vision pipelines for mission planning, and enhanced data workflows with ROS and Docker. Carlos refactored propulsion control using C++ and Python, improved Arduino telemetry, and enabled reproducible experiments through automated rosbag management. His work included CLI tooling, CI/CD automation, and migration to SAM2 for segmentation, all supported by comprehensive documentation and codebase restructuring. The result was a maintainable, production-ready stack that accelerated onboarding, improved reliability, and enabled rapid prototyping for robotics research.
Overall Statistics
Feature vs Bugs
79%Features
Repository Contributions
97Total
Bugs
10
Commits
97
Features
38
Lines of code
860,246
Activity Months6
Your Network
7 people
Work History
August 2025
3 Commits • 2 Features
Aug 1, 20252025-08 Monthly Summary for Rumarino-Team/hydrus-software-stack. Focused on advancing the segmentation pipeline, simplifying maintenance, and enabling faster onboarding for PoC deployments. Delivered structural improvements, migrated model handling to SAM2, and enhanced documentation and Docker-based PoC run instructions. The work strengthens production-readiness and accelerates future feature delivery by reducing build-time dependencies and clarifying project layout.
3 Commits • 2 Features
Aug 1, 20252025-08 Monthly Summary for Rumarino-Team/hydrus-software-stack. Focused on advancing the segmentation pipeline, simplifying maintenance, and enabling faster onboarding for PoC deployments. Delivered structural improvements, migrated model handling to SAM2, and enhanced documentation and Docker-based PoC run instructions. The work strengthens production-readiness and accelerates future feature delivery by reducing build-time dependencies and clarifying project layout.
August 2025
July 2025
26 Commits • 8 Features
Jul 1, 2025July 2025 focused on hardware integration, CLI reliability, and AI-assisted capabilities within the hydrus-software-stack. Key deliveries include Arduino integration with standardized code and package layout; a comprehensive Hydrus CLI/Hocker refactor to support Docker or VSCode, remove legacy ros_entrypoints, fix paths, ensure containers start reliably, and enable CPU-forced and volume-based testing; CLI structure and device organization improvements with modular tests, targeted integration tests, and CI/CD/documentation cleanup; GPT integration improvements with SAM2 and stability fixes; development mode and Arduino CLI support in hydrus-cli, plus an example video and default models to accelerate onboarding.
July 2025
26 Commits • 8 Features
Jul 1, 2025July 2025 focused on hardware integration, CLI reliability, and AI-assisted capabilities within the hydrus-software-stack. Key deliveries include Arduino integration with standardized code and package layout; a comprehensive Hydrus CLI/Hocker refactor to support Docker or VSCode, remove legacy ros_entrypoints, fix paths, ensure containers start reliably, and enable CPU-forced and volume-based testing; CLI structure and device organization improvements with modular tests, targeted integration tests, and CI/CD/documentation cleanup; GPT integration improvements with SAM2 and stability fixes; development mode and Arduino CLI support in hydrus-cli, plus an example video and default models to accelerate onboarding.
June 2025
30 Commits • 18 Features
Jun 1, 2025June 2025 performance summary for Rumarino-Team/hydrus-software-stack focused on delivering business value through automation, reliability, and tooling enhancements while strengthening packaging and CI/CD. Key features were implemented to streamline data workflows, safety checks, and developer onboarding. The month also included targeted cleanup and stability fixes to improve deployment consistency across environments.
30 Commits • 18 Features
Jun 1, 2025June 2025 performance summary for Rumarino-Team/hydrus-software-stack focused on delivering business value through automation, reliability, and tooling enhancements while strengthening packaging and CI/CD. Key features were implemented to streamline data workflows, safety checks, and developer onboarding. The month also included targeted cleanup and stability fixes to improve deployment consistency across environments.
June 2025
May 2025
18 Commits • 6 Features
May 1, 2025May 2025 — Key outcomes: Enhanced data analysis and repeatability with ROS bag playback in Docker; improved reliability and observability of Arduino telemetry; overhauled propulsion control for precision with PWM; expanded perception with configurable YOLO models and a real-time web viewer; modular mission planning enabling autonomous behaviors; integrated Godot-based simulation to accelerate testing and debugging across ROS and mission frameworks.
May 2025
18 Commits • 6 Features
May 1, 2025May 2025 — Key outcomes: Enhanced data analysis and repeatability with ROS bag playback in Docker; improved reliability and observability of Arduino telemetry; overhauled propulsion control for precision with PWM; expanded perception with configurable YOLO models and a real-time web viewer; modular mission planning enabling autonomous behaviors; integrated Godot-based simulation to accelerate testing and debugging across ROS and mission frameworks.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 highlights for Rumarino-Team/hydrus-software-stack: Delivered ZED Camera ROS Docker Integration and Config Management, introducing YAML-based camera parameter files and ensuring the Dockerfile copies the correct parameter file for consistent camera behavior across environments. Updated README to guide users through configuring the ZED wrapper, improving onboarding and repeatable deployments. No major bugs fixed this month; emphasis on configuration reliability and documentation. Impact: faster, reproducible camera deployments, reduced onboarding time, and clearer configuration workflows. Technologies/skills demonstrated: ROS, Docker, YAML, containerized pipelines, and developer docs.
2 Commits • 1 Features
Mar 1, 2025March 2025 highlights for Rumarino-Team/hydrus-software-stack: Delivered ZED Camera ROS Docker Integration and Config Management, introducing YAML-based camera parameter files and ensuring the Dockerfile copies the correct parameter file for consistent camera behavior across environments. Updated README to guide users through configuring the ZED wrapper, improving onboarding and repeatable deployments. No major bugs fixed this month; emphasis on configuration reliability and documentation. Impact: faster, reproducible camera deployments, reduced onboarding time, and clearer configuration workflows. Technologies/skills demonstrated: ROS, Docker, YAML, containerized pipelines, and developer docs.
March 2025
November 2024
18 Commits • 3 Features
Nov 1, 2024Month 2024-11: Focused delivery of core autonomous capabilities in the hydrus software stack, with emphasis on action-based navigation, perception-driven mission planning, and maintainability. Key outcomes include feature delivery for waypoint-guided movement, integration of vision/perception pipelines with mission planning, and codebase cleanup to streamline deployment. In addition, addressed build reliability by fixing dependency issues and enhanced documentation to support ongoing maintenance and rapid onboarding.
November 2024
18 Commits • 3 Features
Nov 1, 2024Month 2024-11: Focused delivery of core autonomous capabilities in the hydrus software stack, with emphasis on action-based navigation, perception-driven mission planning, and maintainability. Key outcomes include feature delivery for waypoint-guided movement, integration of vision/perception pipelines with mission planning, and codebase cleanup to streamline deployment. In addition, addressed build reliability by fixing dependency issues and enhanced documentation to support ongoing maintenance and rapid onboarding.
Activity
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Quality Metrics
Correctness84.8%
Maintainability85.4%
Architecture84.6%
Performance74.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
ArduinoBashCC++CMakeDockerfileGDScriptINILaunchMakefile
Technical Skills
3D ReconstructionAPI IntegrationActionlibArduinoAutonomous SystemsBackend DevelopmentBash ScriptingC++CI/CDCLI DevelopmentCMakeCode CleanupCode FormattingCode InstrumentationCode Organization
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