As one of the first undergraduate robotics programs at a top-ten engineering school, Michigan Robotics has developed cutting-edge courses that stay current with the fast-advancing robotics field. Robotics students gain an understanding of foundational concepts through hands-on core courses such as human-robot interaction, sensors and signals, and operating systems, then quickly adapt the degree to their interests with electives in areas such as robot control, autonomous robotics, wearable sensors, aircraft structures, or even marine dynamics. Leveraging the breadth of courses available across other top-ranked departments throughout the University, a Michigan Robotics degree demonstrates the force-multiplying impact of the field across a vast array of applications from medicine to manufacturing, and beyond. Learn new concepts: While the robots may operate anywhere from underwater to outer space, the concepts underlying them remain the same. Students gain knowledge of these core technical areas in coursework: Sensing of the environment, other robots or humans, and internal information to perceive the state of the world; Reasoning with models of the world to make decisions to accomplish tasks, satisfy goals, and learn from experience; Acting upon itself or environment to produce outputs that enable the robot to achieve desired effects on the physical world and interact with people; Understanding human and social dynamics for robots to effectively work with people and evaluate their impact on society. Human-Robot Interaction: How robots are evaluated, designed, and integrated with people. The core course is ROB 340: Human Evaluation of Robots, with electives in computational HRI, ethics in AI and robotics, wearable sensing, experimental design, and human-centered design. Focuses on interaction, evaluation, and societal context. Concentration core course: ROB 340: Human Evaluation of Robots. Choose the remaining credits from any of the following: ROB 435: Quantifying Human Motion Through Wearable Sensors. ROB 440: Computational Human-Robot Interaction. ROB 498, topic ID 7: Storytelling with Robotics. ROB 498, topic ID 14: Design for Human Robot Interaction. ROB 543: Ethics in AI and Robotics. ROB 599, topic ID 9: Medical Robotics. IOE 431: Human-Centered and User Experience Design. IOE 434: Human Error and Complex System Failures. IOE 465: Experimental Design. SI 303: Introduction to Qualitative MethodsResearch. SI 307: Introduction to Design. SI 340: Experiment Design and Analyses. SI 347: Human-Computer Interaction. SI 394: Introduction to Automotive UX (Auto UX). SI 422: Needs Assessment and Usability Evaluation.
