COMPUTER MODELING AND SIMULATION OF AUTONOMOUS VEHICLES AND ROBOTS

Prerequisites & course information

Requisites: M E 459 and ( COMP SCI 200 , 220 , 300 , 301, 320 , or placement into COMP SCI 300 ), graduate/professional standing, or member of Engineering Guest Students Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2022 Learning Outcomes: 1. Use computer simulation in the process of designing and analyzing new autonomous vehicles and robots Audience: Both Grad & Undergrad 2. Create a ROS (Robot Operating System) infrastructure for a simple robot or small scale autonomous vehicle Audience: Both Grad & Undergrad 3. Create a ROS infrastructure used in conjunction with an autonomy stack to simulate the behavior of a robot or autonomous vehicle Audience: Both Grad & Undergrad 4. Identify the main modeling techniques used to approximate through computer simulation the real world dynamics/behavior of autonomous vehicles and robots Audience: Both Grad & Undergrad 5. Gain a panoramic image of modeling and simulation requirements associated with the multi-disciplinary task of designing autonomous vehicles and robots Audience: Undergraduate 6. Integrate the activities of designing, implementing, building, validating and positioning for release software for modeling and simulation of autonomous vehicles and robots Audience: Graduate 7. Propose and evaluate alternate or novel methods to achieve modeling and simulation objectives, defend opinions Audience: Graduate Learning Outcomes: 1. Use computer simulation in the process of designing and analyzing new autonomous vehicles and robots Audience: Both Grad & Undergrad 2. Create a ROS (Robot Operating System) infrastructure for a simple robot or small scale autonomous vehicle Audience: Both Grad & Undergrad 3. Create a ROS infrastructure used in conjunction with an autonomy stack to simulate the behavior of a robot or autonomous vehicle Audience: Both Grad & Undergrad 4. Identify the main modeling techniques used to approximate through computer simulation the real world dynamics/behavior of autonomous vehicles and robots Audience: Both Grad & Undergrad 5. Gain a panoramic image of modeling and simulation requirements associated with the multi-disciplinary task of designing autonomous vehicles and robots Audience: Undergraduate 6. Integrate the activities of designing, implementing, building, validating and positioning for release software for modeling and simulation of autonomous vehicles and robots Audience: Graduate 7. Propose and evaluate alternate or novel methods to achieve modeling and simulation objectives, defend opinions Audience: Graduate