This STEM project has utilized the Lego 31313 EV3 Robotics to simulate the Tesla Summon Auto-Pilot parking technology.  The objective is to build a Lego Robotics which can park itself automatically in a very tiny space quickly.  Safety is the major requirement to ensure there is no significant risk associated with self-parking. The team has used three ultrasonic sensors and EV3 Programming in order to make a smoother U-turn and park the Robot at the assigned parking slot safely. The team has applied intense statistics through systematic problem solving process at each development stage.  This STEM project will integrate the Field Design, Robotics Hardware Architecture, EV3 Software Algorithm, and Hardware-Software System integration in order to meet five challenging Critical to Quality (CTQ) Metrics.  Team has followed the Define-Measure-Analyze-Design-Optimize-Verify (DMADOV) Design for Six Sigma (DFSS) methodology.   Through DMADOV framework, the team could shorten the try-error learning cycle and take solid steps based on a data-driven approach.  The biggest challenge was for this team to go through the typical Forming-Storming-Norming-Performing team building cycle.  The team has learned a lot on how to apply Minitab statistics in a real Robotics Science project through iterations of brainstorming and hands-on practice.  Students have applied Science-Technology-Engineering-Mathematics (STEM) on Tesla Robotics.