In March 2026, delivered major enhancements across perception, machine vision UX, Gazebo-based simulation, and infrastructure to improve reliability, testing velocity, and developer productivity. Key perception improvements in RoboticsAcademy add start/stop color and shape filters and enable retrieval of target positions, enabling faster and more reliable target localization in automated pipelines. Introduced an image viewer for the machine vision exercise to provide real-time visual feedback and faster debugging. WebGUI was simplified to focus on the right image, yielding clearer visuals and better performance during exercises. Gazebo simulation enhancements added a gripper attach/detach workflow and updated environment docs, enabling more realistic end-to-end testing of pick-and-place flows. In RoboticsInfrastructure, launch configurations were stabilized with Fixes to world.launch.py and spawn_robot_warehouse.launch.py, build/config robustness with CMakeLists.txt fixes, and plugin core improvements including an executor for asynchronous tasks and debugging support, collectively boosting startup reliability and plugin stability. Overall, the month delivered concrete features with measurable business value: faster feature validation, more realistic test environments, and stronger platform stability for education and automation workflows.

February 2026 monthly summary highlighting delivered features, critical fixes, and overall impact across two repositories: JdeRobot/RoboticsAcademy and JdeRobot/RoboticsInfrastructure. The work focused on enabling realistic robotic pick-and-place workflows in ROS2/MoveIt2 with Gazebo simulation, and on strengthening launch infrastructure for reliable, repeatable training and testing.