Ekumen-OS/beluga
Jul 2025 – Jan 2026
4 Months active
Languages Used
CMakeDockerfileYAMLC++Markdown
Technical Skills
CI/CDDockerROS 2C++LocalizationPoint Cloud Processing
Andrés Brumovsky
PROFILE
Andrés Brumovsky
Worked on the Ekumen-OS/beluga repository, delivering four features and a bug fix over four months focused on robotics and localization. Developed thick-wall preprocessing for occupancy grids, enhancing obstacle detection and navigation safety by refining how interior wall regions are modeled. Added point cloud data support to the localization module, broadening sensor compatibility and improving robustness in sparse environments. Expanded CI/CD pipelines and Docker-based workflows to support new ROS distributions, increasing test coverage and reliability. Addressed cross-distribution compatibility issues and improved technical documentation, streamlining onboarding and maintenance. Utilized C++, CMake, and ROS2, emphasizing automation, reproducibility, and clear documentation throughout.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
4
Lines of code
3,123
Activity Months4
Your Network
12 peopleWork History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 – Ekumen-OS/beluga: Delivered Thick-Wall Preprocessing for Occupancy Grids. This feature pre-processes thick walls to improve the likelihood model by treating interior wall cells as unknown space and computing obstacle edges. Commit 16ae4479ede866a6cbedf8cfb381c4d78087b35a (feature added in #541). Impact: higher accuracy occupancy grids, more reliable obstacle detection, and safer navigation in indoor environments. Prepared groundwork for QA/testing and downstream planning improvements.
1 Commits • 1 Features
Jan 1, 2026January 2026 – Ekumen-OS/beluga: Delivered Thick-Wall Preprocessing for Occupancy Grids. This feature pre-processes thick walls to improve the likelihood model by treating interior wall cells as unknown space and computing obstacle edges. Commit 16ae4479ede866a6cbedf8cfb381c4d78087b35a (feature added in #541). Impact: higher accuracy occupancy grids, more reliable obstacle detection, and safer navigation in indoor environments. Prepared groundwork for QA/testing and downstream planning improvements.
January 2026
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for Ekumen-OS/beluga focusing on CI reliability and documentation improvements. Delivered targeted fixes to restore cross-distribution compatibility on the Rolling branch and updated Beluga AMCL documentation to clarify performance expectations and compatibility notes.
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for Ekumen-OS/beluga focusing on CI reliability and documentation improvements. Delivered targeted fixes to restore cross-distribution compatibility on the Rolling branch and updated Beluga AMCL documentation to clarify performance expectations and compatibility notes.
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Key delivery: point cloud data support in beluga_amcl for localization in Ekumen-OS/beluga. This feature enables localization using point clouds as an alternative to laser scans, with updates to the node implementation, core AMCL logic, and accompanying documentation, plus comprehensive tests. There were no major bugs fixed this month. Impact: broadens sensor compatibility and improves localization robustness in environments with sparse laser data, enabling new deployment scenarios and faster iteration. Technologies/skills demonstrated: ROS-based node development, AMCL integration, point cloud processing, test automation, and documentation.
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Key delivery: point cloud data support in beluga_amcl for localization in Ekumen-OS/beluga. This feature enables localization using point clouds as an alternative to laser scans, with updates to the node implementation, core AMCL logic, and accompanying documentation, plus comprehensive tests. There were no major bugs fixed this month. Impact: broadens sensor compatibility and improves localization robustness in environments with sparse laser data, enabling new deployment scenarios and faster iteration. Technologies/skills demonstrated: ROS-based node development, AMCL integration, point cloud processing, test automation, and documentation.
September 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered ROS Kilted Kaiju distribution support for Ekumen-OS/beluga, expanding CI/CD coverage and testability across ROS distributions. Implemented updates in CI/CD pipelines, workflows, and Dockerfiles to build and test Beluga against the ROS Kilted Kaiju distro. This work lays the groundwork for broader distro compatibility, enabling customers to validate against upcoming ROS releases and reducing integration risk. No major bugs fixed this month; primary focus on feature delivery, process improvements, and preparing for future stability.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered ROS Kilted Kaiju distribution support for Ekumen-OS/beluga, expanding CI/CD coverage and testability across ROS distributions. Implemented updates in CI/CD pipelines, workflows, and Dockerfiles to build and test Beluga against the ROS Kilted Kaiju distro. This work lays the groundwork for broader distro compatibility, enabling customers to validate against upcoming ROS releases and reducing integration risk. No major bugs fixed this month; primary focus on feature delivery, process improvements, and preparing for future stability.
Activity
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Quality Metrics
Correctness94.0%
Maintainability86.0%
Architecture86.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakeDockerfileMarkdownYAML
Technical Skills
C++C++ developmentCI/CDCMakeDockerLocalizationPoint Cloud ProcessingROSROS 2ROS2Sensor FusionSoftware Architecturealgorithm developmentdocumentationrobotics
Repositories Contributed To
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