viam-modules/universal-robots
Nov 2024 – Jun 2025
6 Months active
Languages Used
C++CMakeMarkdownDockerfileMakefileShellRustYAML
Technical Skills
Build System ConfigurationC++CMakeDocumentationEmbedded SystemsRobotics
Ray Bjorkman
PROFILE
Ray Bjorkman
Ray Bjork developed and maintained the viam-modules/universal-robots repository over six months, delivering features that expanded robotic arm support and improved reliability. He implemented UR3e and UR5e model integration, enabling accurate motion planning and flexible configuration for Universal Robots arms. His work focused on robust build system configuration using CMake and Makefile, enhanced error handling in C++ for trajectory generation, and improved developer usability through enriched documentation and logging. By integrating Rust FFI for spatial mathematics and refining packaging with Dockerfile and AppImage, Ray ensured deterministic builds, streamlined deployment, and reduced runtime issues, demonstrating depth in embedded systems and robotics engineering.
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
15Total
Bugs
2
Commits
15
Features
9
Lines of code
997
Activity Months6
Your Network
7 people
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for viam-modules/universal-robots: Delivered UR3e robot model support, enabling broader arm coverage in the Universal Robots module. This includes a new Makefile target to simulate UR3e, registration of the UR3e model within the arm module, and updated kinematics data retrieval to correctly identify UR3e, facilitating accurate motion planning and faster first-time setup for users.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for viam-modules/universal-robots: Delivered UR3e robot model support, enabling broader arm coverage in the Universal Robots module. This includes a new Makefile target to simulate UR3e, registration of the UR3e model within the arm module, and updated kinematics data retrieval to correctly identify UR3e, facilitating accurate motion planning and faster first-time setup for users.
June 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary highlighting core accomplishments in the universal-robots module. Focused on reliability, error handling, and developer usability to support robust robotic control and faster issue resolution.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary highlighting core accomplishments in the universal-robots module. Focused on reliability, error handling, and developer usability to support robust robotic control and faster issue resolution.
March 2025
4 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for viam-modules/universal-robots: Delivered user-facing enhancements and internal hardening to improve reliability, maintainability, and planning visibility. Key milestones include documentation clarity, new end-effector pose retrieval capability, and a refactor of kinematics data from URDF to SVA with error handling improvements. These changes reduce downstream integration risk and enable smoother future work.
4 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for viam-modules/universal-robots: Delivered user-facing enhancements and internal hardening to improve reliability, maintainability, and planning visibility. Key milestones include documentation clarity, new end-effector pose retrieval capability, and a refactor of kinematics data from URDF to SVA with error handling improvements. These changes reduce downstream integration risk and enable smoother future work.
March 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for viam-modules/universal-robots: Delivered UR5e Arm Acceleration Configuration feature and supporting documentation. No major bugs reported this month. Improved motion control flexibility and safety by enabling configuration-driven acceleration applied to UR5e trajectories. Key commits include 4efe7e1de3ccb5fbeef2d7b5725f2b9260a9328a (make acceleration configurable) and 45a0c952b969f88e0377a2a3462f13287ad6ab8d (update readme).
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for viam-modules/universal-robots: Delivered UR5e Arm Acceleration Configuration feature and supporting documentation. No major bugs reported this month. Improved motion control flexibility and safety by enabling configuration-driven acceleration applied to UR5e trajectories. Key commits include 4efe7e1de3ccb5fbeef2d7b5725f2b9260a9328a (make acceleration configurable) and 45a0c952b969f88e0377a2a3462f13287ad6ab8d (update readme).
December 2024
4 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for viam-modules/universal-robots. Focused on delivering core UR capabilities, stabilizing build and packaging workflows, and enhancing debugging and analytics through richer logging. Key deliverables include a major SDK upgrade enabling multi-point arm movements, improvements to AppImage packaging for easier distribution, and improvements to build hygiene by managing the logs directory, reducing build failures and persistence issues.
4 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for viam-modules/universal-robots. Focused on delivering core UR capabilities, stabilizing build and packaging workflows, and enhancing debugging and analytics through richer logging. Key deliverables include a major SDK upgrade enabling multi-point arm movements, improvements to AppImage packaging for easier distribution, and improvements to build hygiene by managing the logs directory, reducing build failures and persistence issues.
December 2024
November 2024
2 Commits • 1 Features
Nov 1, 2024Month 2024-11: Delivered targeted reliability and robustness improvements in the universal-robots module. Focused on making builds deterministic and runtime data access robust, reducing CI failures and operator-runtime issues for downstream users.
November 2024
2 Commits • 1 Features
Nov 1, 2024Month 2024-11: Delivered targeted reliability and robustness improvements in the universal-robots module. Focused on making builds deterministic and runtime data access robust, reducing CI failures and operator-runtime issues for downstream users.
Activity
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Quality Metrics
Correctness90.0%
Maintainability89.4%
Architecture86.0%
Performance85.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakeDockerfileMakefileMarkdownRustShellYAMLbash
Technical Skills
Build SystemBuild System ConfigurationBuild SystemsC++C++ DevelopmentCI/CDCMakeConfiguration ManagementDebuggingDockerfile ManagementDocumentationEmbedded SystemsError HandlingFFI (Foreign Function Interface)Makefile
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