
Aastha Sahoo developed advanced simulation assets and autonomous driving scenarios for the JdeRobot/RoboticsInfrastructure and RoboticsAcademy repositories over two months. She built detailed 3D vehicle models, including a Waymo autoparking car with sensor integration and simulation plugins, enabling realistic autoparking scenario testing. Her work included designing Gazebo-based environments, implementing traffic management scripts, and enhancing simulation visuals with custom sky and cloud models. Using Python, ROS2, and SDF, she improved code quality through comprehensive linting and formatting, ensuring maintainability. These contributions accelerated validation of autonomous driving algorithms and provided reusable, modular assets for robotics simulation and educational exercises within the repositories.
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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