MAE 5810
Last Updated
- Schedule of Classes - May 16, 2024 7:30PM EDT
- Course Catalog - May 16, 2024 7:07PM EDT
Classes
MAE 5810
Course Description
Course information provided by the Courses of Study 2023-2024. Courses of Study 2024-2025 is scheduled to publish mid-June.
An introductory course to robot perception techniques for modeling and planning heterogeneous and dynamic sensor measurements, and for processing the sensor feedback in the context of robot motions and environments. Methods for intelligent sensor fusion and robot perception in motion will be covered in detail in this course. Topics in artificial vision, acoustic propagation, and filtering will be discussed along with related algorithms inspired by neural networks, Bayesian networks, and information theory. Sensing problems and performance will be investigated in regard to benchmark problems, such as coverage, target search, target tracking, and treasure hunting, will be covered in-depth and demonstrated through applications drawn from environmental monitoring, sensing-and-pursuit games, surveillance, and human-robot interactions.
When Offered Fall.
Prerequisites/Corequisites Prerequisite: ENGRD 2112, MATH 2940, and MATH 4710 (or ENGRD 2700 or ENGRD 2720); or graduate standing in a technical field.
Outcomes
- Students will be able to use methods for sensor fusion to inform robot perception.
- Students will be able to implement artificial vision, acoustic propagation, and filtering along with neural networks, Bayesian algorithms, and information theory to identify robot states.
- Students will be able to analyze benchmark problems such as coverage, target search, target tracking, and treasure hunting.
Regular Academic Session. Combined with: ECE 4240, ECE 5240, MAE 4810
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Credits and Grading Basis
3 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- MW To Be Assigned
- Aug 26 - Dec 9, 2024
Instructors
Ferrari, S
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Additional Information
Instruction Mode: Hybrid-Online and In Person
The majority of sessions will be taught in person in Ithaca, but there will be a small number of class meetings when the faculty is teaching via streaming from Cornell Tech.
Regular Academic Session. Combined with: ECE 4240, ECE 5240, MAE 4810
-
Credits and Grading Basis
3 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
-
MW
To Be Assigned
Cornell Tech - Aug 26 - Dec 9, 2024
Instructors
Ferrari, S
-
MW
To Be Assigned
-
Additional Information
Instruction Mode: Hybrid-Online and In Person
Enrollment limited to: Cornell Tech students.
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