
Over a two-month period, contributed to JdeRobot/RoboticsInfrastructure and RoboticsAcademy by developing advanced simulation environments and autonomous driving features. Built detailed 3D vehicle models, including a Waymo autoparking vehicle and hatchback car, integrating sensors such as lidar and cameras for realistic scenario testing in Gazebo. Enhanced simulation visuals with sky and cloud models, and implemented autonomous navigation exercises with ROS2 and HAL integration. Improved code quality through comprehensive Python linting and formatting, ensuring maintainability across WebGUI and backend modules. Utilized Python, C++, and SDF to deliver reusable assets and robust simulation capabilities, accelerating validation of robotics and autonomous driving algorithms.
August 2025: Delivered core autonomous simulation capabilities and code quality improvements across the RoboticsInfrastructure and RoboticsAcademy repositories. The work accelerates validation of autonomous driving scenarios, enhances simulation realism, and reduces maintenance overhead through cleaner code and asset management.
August 2025: Delivered core autonomous simulation capabilities and code quality improvements across the RoboticsInfrastructure and RoboticsAcademy repositories. The work accelerates validation of autonomous driving scenarios, enhances simulation realism, and reduces maintenance overhead through cleaner code and asset management.
July 2025 update: Delivered Waymo Autoparking Vehicle Model in JdeRobot/RoboticsInfrastructure, including a complete 3D mesh, configuration files, and the vehicle structure (chassis, wheels, sensors such as lidar and cameras) with joints and plugins to enable operation within a simulation environment. This feature enables autoparking scenario testing and accelerates iteration of parking algorithms in realistic simulations. No major bugs reported; the work is feature-driven and ready for testing. Impact: enables realistic autoparking simulations, faster validation of parking algorithms, and a reusable vehicle model for future scenarios. Technologies/skills demonstrated: 3D modeling, sensor integration, simulation plugin architecture, configuration management, and version control.
July 2025 update: Delivered Waymo Autoparking Vehicle Model in JdeRobot/RoboticsInfrastructure, including a complete 3D mesh, configuration files, and the vehicle structure (chassis, wheels, sensors such as lidar and cameras) with joints and plugins to enable operation within a simulation environment. This feature enables autoparking scenario testing and accelerates iteration of parking algorithms in realistic simulations. No major bugs reported; the work is feature-driven and ready for testing. Impact: enables realistic autoparking simulations, faster validation of parking algorithms, and a reusable vehicle model for future scenarios. Technologies/skills demonstrated: 3D modeling, sensor integration, simulation plugin architecture, configuration management, and version control.

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