PickNikRobotics/moveit_pro_example_ws
Feb 2025 – Dec 2025
10 Months active
Languages Used
YAMLONNXC++XMLCMakePythonShellURDF
Technical Skills
Configuration ManagementRoboticsBehavior TreesNavigationSimulationNavigation Stack
Griswald Brooks
PROFILE
Griswald Brooks
Worked extensively on the PickNikRobotics/moveit_pro_example_ws repository, delivering advanced robotics automation features and robust simulation capabilities. Developed and tuned behavior trees for manipulation, navigation, and perception, integrating machine learning-driven grasping and automask image processing to enhance multi-source perception workflows. Leveraged C++, Python, and XML to implement modular motion planning, collision avoidance, and configuration management, while refining costmap parameters and simulation fidelity for safer, more reliable deployments. Improved CI reliability and test automation, stabilized integration testing, and maintained code quality through version control and DevOps practices. The work enabled faster iteration, reduced manual intervention, and increased automation reliability in robotics applications.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
44Total
Bugs
6
Commits
44
Features
16
Lines of code
309,598
Activity Months10
Your Network
36 peopleShared Repositories
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Dave ColemanMember
Dave ColemanMember
David SobekMember
Denis GermanoMember
Dan WahlMember
Work History
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for PickNikRobotics/moveit_pro_example_ws. Delivered Automask Image Processing from Multiple Sources with new behavior trees for automasking across camera and file inputs, including image processing and visualization of masks. Integrated ML-based image processing to boost perception capabilities and align with goals for robust multi-source perception.
1 Commits • 1 Features
Dec 1, 2025December 2025 performance summary for PickNikRobotics/moveit_pro_example_ws. Delivered Automask Image Processing from Multiple Sources with new behavior trees for automasking across camera and file inputs, including image processing and visualization of masks. Integrated ML-based image processing to boost perception capabilities and align with goals for robust multi-source perception.
December 2025
October 2025
4 Commits • 1 Features
Oct 1, 2025Month 2025-10 Performance Summary – PickNikRobotics/moveit_pro_example_ws Key features delivered: - Robotic task execution robustness and planning enhancements for the Move Flasks to Burners objective. Improvements include more robust waypoint handling to prevent collisions with the table and updated behavior trees for grasping and trajectory execution, driving higher reliability of end-to-end automation. - Related commits: 93942311bbb1825e1c0c37018d07dd13c5ab6507; 9e8564fa4eca2c7f40bbe2588110c188b66b38b0; df908e63fe906eea4158b241ec076d04d8fc9d84 Major bugs fixed: - Pre-commit hook fixes and workflow reliability to ensure code quality checks run consistently before commits, reducing flaky CI and preventing quality regressions. - Related commit: 26e509a742788ec655774b2eb14e80da1feb7ef4 Overall impact and accomplishments: - Increased safety, reliability, and predictability of robotic task execution (Move Flasks to Burners), enabling more consistent performance in automated workflows and reducing operational risk. - Streamlined development workflow with stabilized pre-commit checks and CI processes for faster, safer iteration cycles. Technologies/skills demonstrated: - MoveIt/ROS planning and behavior trees for robotics automation - Robotic waypoint planning and collision avoidance - Quality gates and CI workflow automation via pre-commit and repository configuration Business value: - More reliable task execution reduces downtime and manual intervention, accelerating deployment of automated workflows and improving throughput for end-to-end processes.
October 2025
4 Commits • 1 Features
Oct 1, 2025Month 2025-10 Performance Summary – PickNikRobotics/moveit_pro_example_ws Key features delivered: - Robotic task execution robustness and planning enhancements for the Move Flasks to Burners objective. Improvements include more robust waypoint handling to prevent collisions with the table and updated behavior trees for grasping and trajectory execution, driving higher reliability of end-to-end automation. - Related commits: 93942311bbb1825e1c0c37018d07dd13c5ab6507; 9e8564fa4eca2c7f40bbe2588110c188b66b38b0; df908e63fe906eea4158b241ec076d04d8fc9d84 Major bugs fixed: - Pre-commit hook fixes and workflow reliability to ensure code quality checks run consistently before commits, reducing flaky CI and preventing quality regressions. - Related commit: 26e509a742788ec655774b2eb14e80da1feb7ef4 Overall impact and accomplishments: - Increased safety, reliability, and predictability of robotic task execution (Move Flasks to Burners), enabling more consistent performance in automated workflows and reducing operational risk. - Streamlined development workflow with stabilized pre-commit checks and CI processes for faster, safer iteration cycles. Technologies/skills demonstrated: - MoveIt/ROS planning and behavior trees for robotics automation - Robotic waypoint planning and collision avoidance - Quality gates and CI workflow automation via pre-commit and repository configuration Business value: - More reliable task execution reduces downtime and manual intervention, accelerating deployment of automated workflows and improving throughput for end-to-end processes.
September 2025
4 Commits • 2 Features
Sep 1, 2025September 2025 performance summary for PickNikRobotics/moveit_pro_example_ws: Delivered two core capabilities to improve reliability and planning accuracy for manipulation tasks. ICP-driven stacking with a behavior-tree pipeline now aligns point clouds robustly for block stacking, supported by test coverage to prevent regressions. Grasp pose initialization and visualization improvements refine initial CAD pose and provide grasp pose visualization to boost grasp planning accuracy in simulation. These work items reduce manual intervention, accelerate development cycles, and increase automation reliability in perception-to-action pipelines.
4 Commits • 2 Features
Sep 1, 2025September 2025 performance summary for PickNikRobotics/moveit_pro_example_ws: Delivered two core capabilities to improve reliability and planning accuracy for manipulation tasks. ICP-driven stacking with a behavior-tree pipeline now aligns point clouds robustly for block stacking, supported by test coverage to prevent regressions. Grasp pose initialization and visualization improvements refine initial CAD pose and provide grasp pose visualization to boost grasp planning accuracy in simulation. These work items reduce manual intervention, accelerate development cycles, and increase automation reliability in perception-to-action pipelines.
September 2025
August 2025
13 Commits • 2 Features
Aug 1, 2025Monthly summary for 2025-08 for the MoveIt Pro Example workspace. Focused on delivering user-facing tutorials and factory simulation capabilities, stabilizing the simulation environment, and reinforcing code quality and integration across components.
August 2025
13 Commits • 2 Features
Aug 1, 2025Monthly summary for 2025-08 for the MoveIt Pro Example workspace. Focused on delivering user-facing tutorials and factory simulation capabilities, stabilizing the simulation environment, and reinforcing code quality and integration across components.
July 2025
11 Commits • 3 Features
Jul 1, 2025For 2025-07, focused on strengthening ML-driven capabilities and CI reliability in the moveit_pro_example_ws project. Delivered concrete features for safer ML Auto Grasp workflows, tightened CI/test coverage, and stabilized integration testing, with aligned dependencies to support upcoming work streams.
11 Commits • 3 Features
Jul 1, 2025For 2025-07, focused on strengthening ML-driven capabilities and CI reliability in the moveit_pro_example_ws project. Delivered concrete features for safer ML Auto Grasp workflows, tightened CI/test coverage, and stabilized integration testing, with aligned dependencies to support upcoming work streams.
July 2025
June 2025
3 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for PickNikRobotics/moveit_pro_example_ws focused on delivering user-facing ML-driven grasping, establishing a foundation for cloud-based motion planning, and correcting critical state management bugs. Key business value include faster grasp planning, modular cloud capabilities, and increased reliability in pick-and-place workflows.
June 2025
3 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for PickNikRobotics/moveit_pro_example_ws focused on delivering user-facing ML-driven grasping, establishing a foundation for cloud-based motion planning, and correcting critical state management bugs. Key business value include faster grasp planning, modular cloud capabilities, and increased reliability in pick-and-place workflows.
May 2025
4 Commits • 2 Features
May 1, 2025Concise monthly summary for 2025-05 focused on delivering robust simulation features, improving modularity, and refining configuration parameters to enhance manipulation tasks in the MoveIt Pro example workspace. Emphasis on business value: reduced debugging time, more predictable planning in simulation, and cleaner APIs for easier maintenance.
4 Commits • 2 Features
May 1, 2025Concise monthly summary for 2025-05 focused on delivering robust simulation features, improving modularity, and refining configuration parameters to enhance manipulation tasks in the MoveIt Pro example workspace. Emphasis on business value: reduced debugging time, more predictable planning in simulation, and cleaner APIs for easier maintenance.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for the MoveIt Pro example workspace (PickNikRobotics/moveit_pro_example_ws). Focus this month was on strengthening obstacle avoidance by tuning the navigation costmap inflation parameters for both local and global costmaps. The adjustments increased safety margins while preserving responsiveness, aligning with our reliability and safety goals for dynamic environments.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 performance summary for the MoveIt Pro example workspace (PickNikRobotics/moveit_pro_example_ws). Focus this month was on strengthening obstacle avoidance by tuning the navigation costmap inflation parameters for both local and global costmaps. The adjustments increased safety margins while preserving responsiveness, aligning with our reliability and safety goals for dynamic environments.
March 2025
2 Commits • 1 Features
Mar 1, 2025Concise monthly summary for 2025-03 focusing on business value and technical achievements. Delivered features and fixes in the moveit_pro_example_ws project to improve automation, navigation reliability, and simulation fidelity. Key outcomes include integrating auto grasp objective support with L2G behavior in lab simulations, expanding the L2G model suite and associated object poses and manipulation waypoints, and tuning simulation costmaps to reflect real-world robot dimensions for safer navigation. These changes reduce manual intervention, enable faster iteration in simulated environments, and improve alignment between simulation and physical robot behavior.
2 Commits • 1 Features
Mar 1, 2025Concise monthly summary for 2025-03 focusing on business value and technical achievements. Delivered features and fixes in the moveit_pro_example_ws project to improve automation, navigation reliability, and simulation fidelity. Key outcomes include integrating auto grasp objective support with L2G behavior in lab simulations, expanding the L2G model suite and associated object poses and manipulation waypoints, and tuning simulation costmaps to reflect real-world robot dimensions for safer navigation. These changes reduce manual intervention, enable faster iteration in simulated environments, and improve alignment between simulation and physical robot behavior.
March 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025Concise monthly summary for 2025-02 focusing on the PickNikRobotics/moveit_pro_example_ws repository. Highlights include the delivery of a configurable tuning mechanism for grasp operations via a YAML file, with tied commits and clear value for precise manipulation tasks.
February 2025
1 Commits • 1 Features
Feb 1, 2025Concise monthly summary for 2025-02 focusing on the PickNikRobotics/moveit_pro_example_ws repository. Highlights include the delivery of a configurable tuning mechanism for grasp operations via a YAML file, with tied commits and clear value for precise manipulation tasks.
Activity
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Quality Metrics
Correctness83.2%
Maintainability85.6%
Architecture80.4%
Performance79.2%
AI Usage24.0%
Skills & Technologies
Programming Languages
C++CMakeONNXPythonShellURDFXMLYAML
Technical Skills
3D modelingBehavior Tree DesignBehavior TreesBug FixBuild System ConfigurationBuild SystemsC++C++ DevelopmentCollision DetectionConfigurationConfiguration ManagementData visualizationDevOpsGitIntegration Testing
Repositories Contributed To
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