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Course Description: This course provides an introduction to the fundamentals of mobile robotics, examining the basic principles of locomotion, kinematics, sensing, perception, and cognition that are key to the development of autonomous mobile robots. Grading will be based on assignments (which will often include programming, and sometimes will include writing) and in-class mini-quizzes.
Prerequisites: This course does not assume any prior knowledge of robotics. However, the course does assume a working knowledge of calculus (Math 141/142), discrete math (CS 311), matrix algebra (Math 251), probability (Math 323 or ECE 313, or Prof. Thomason's 494/594 Markov Chains course, or equivalent), data structures and algorithms (CS302), and the ability to program.
Instructor: Prof. Lynne E. Parker
TA: Chris Reardon
Required readings will be distributed in class or posted online that covered detailed material needed for the class.