University at Buffalo 3 credits Computer Science & Engineering
This class focuses on robotic algorithms that allow mobile robots to operate successfully in unknown and unstructured environments. Currently many of the most successful algorithms utilize probabilistic approaches that explicitly encode uncertainty, use these representations to assimilate new sensor data, and base their decisions both on the content and quality of information. The material covered in this class includes the most prevalent and successful models and techniques and will give you the necessary tools to incorporate current results, e.g. SLAM implementations and sampling based planners, into your own robots.
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