Undergraduate Prerequisites: Ordinary differential equations. Linear algebra. Experience with progr amming - This course will provide the foundation for the study of robotics and autonomous systems. Topics to be covered include modeling techniques (kinematics and dynamics) for a variety of robotic systems, ranging from manipulator arms and car-like vehicles to soft robots, an introduction to control and motion planning for such systems, and concepts of sensing and perception. The course will also discuss the basics of machine learning techniques in robotics and the ethical implications of the field as robotics and automation continue their progression into commonplace tools.

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