Graduate Record 2023-2024 [ARCHIVED RECORD]
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MAE 6260 - Robotic Autonomy Effective Start Date: 08/01/2021 Principles of robotic autonomy for navigating unstructured environments using mathematical principles. Basic probability theory, numerical techniques for recursive Bayesian estimation and multi-sensor data fusion, Simultaneous Localization and Mapping, quantification of belief, and autonomous control. Prerequisites: undergraduate dynamics, a programming course in Python, C++, or Matlab; or instructor’s permission.
Credits: 3 Grading Basis: Graded
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