From STLs to Simulation: Robotics Odometry and Control

Advanced Training: Enrolled in a professional robotics course curriculum developed by an Autonomous Navigation Engineer, mastering Sensor Fusion, Kalman Filters, Robot Kinematics, Odometry, and Probability Theory for localization and control.

Technical Application: Gaining practical experience developing and debugging robotic systems within the ROS 2 (Jazzy) ecosystem on Ubuntu, utilizing Gazebo for simulation and RViz for visualization and analysis.

Project Progress: Successfully designed and simulated a mobile robot, completing both static URDF modeling and dynamic mobile simulation as a foundation for advanced motion control analysis.

Implemented simulation for sensor errors and noisy odometry

Career Objective: To leverage 3D design, simulation, and robotics engineering skills to pioneer advanced autonomous navigation and control systems for next-generation unmanned aerial vehicles (UAVs).