MAE 4810
Last Updated
- Schedule of Classes - January 15, 2024 7:50PM EST
- Course Catalog - January 15, 2024 7:28PM EST
Classes
MAE 4810
Course Description
Course information provided by the Courses of Study 2023-2024.
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 5810
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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 Thurston Hall 205
- Aug 21 - Dec 4, 2023
Instructors
Ferrari, S
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Additional Information
Instruction Mode: Hybrid-Online and In Person
Please note that 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 5810
-
Credits and Grading Basis
3 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
-
MW
Bloomberg Center 61
Cornell Tech - Aug 21 - Dec 4, 2023
Instructors
Ferrari, S
-
MW
Bloomberg Center 61
-
Additional Information
Instruction Mode: Hybrid-Online and In Person
Taught in NYC at Cornell Tech - streamed from Ithaca. Please note that the majority of sessions will be taught via streaming from Ithaca, but there will be a small number of class meetings when the faculty is teaching in person at Cornell Tech. Enrollment limited to Cornell Tech students in CT Technical programs only.
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