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Language of Instruction
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English
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Level of Course Unit
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Bachelor's Degree
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Department / Program
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MECHANICAL ENGINEERING
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Type of Program
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Formal Education
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Type of Course Unit
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Elective
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Course Delivery Method
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Face To Face
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Objectives of the Course
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Demonstrating work mechanisms of various ground and aerial autonomous mobile robots,
Providing fundamental background on mobile robot designs and algorithms,
Presenting applications on simulation environments.
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Course Content
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Mobile robotic platforms assist humans in various ground, aerial, and underwater applications. The course will cover the principles and design process of mobile robot navigation and perception frameworks. Topics include the essential problems in mobile robotics such as localization, path planning, motion modeling, and kinematics and dynamics. Autonomous algorithm designs will be particularly investigated. Mobile manipulator design and implementation examples will be introduced. The course will start with a quick review of linear algebra and probability. Mobile robot platforms will be analyzed in several realistic simulation environments.
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Course Methods and Techniques
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14 weeks of F2F classes.
5 homework (30%),
3 projects (40%),
1 final exam (30%)
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Prerequisites and co-requisities
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( ME305 )
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Course Coordinator
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Associate Prof.Dr. Samet Güler
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Name of Lecturers
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Associate Prof.Dr. SAMET GÜLER
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Resources
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Sebastian Thrun, Wolfram Burgard and Dieter Fox, "Probabilistic robotics", The MIT Press, 2006.
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