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Robotics Algorithms 000 |
Enrollment Information (not real time - data refreshed nightly)
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Class #:
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20927 | |
Enrollment Capacity:
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27 |
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Section:
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000 |
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Enrollment Total:
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25 |
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Credits:
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3.00 credits
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Seats Available:
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2 |
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Dates:
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08/31/2020 - 12/11/2020 |
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Status:
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OPEN |
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Days, Time:
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T R , 9:35 AM - 10:50 AM |
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Remote |
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| Location: |
Remote |
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| Enrollment Requirements |
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Prerequisites: Pre-Requisite: (CSE 250 or EAS 230 or EAS 240 or CSE 115 or EAS 999TRCP) and (EE305 or EAS 305 or MTH 411 or STA 301); CS, CE, or Bioinformatics-CS majors only. Students must complete a mandatory advisement session with their faculty advisor. |
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| Course Description |
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| This course will study key algorithms relevant to programming intelligent robots with a focus on the following questions: How might one program a robot to estimate the state of the world based on multiple sources of information? How might a robot create plans or control policies for performing tasks? How might a robot learn a control policy directly from experience? The course will cover topics in estimation, control, and planning with applications to robotics including: reinforcement learning, linear optimal control, randomized motion planning, trajectory optimization, Kalman filtering, particle filtering, and selected topics in optimization. |
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| Instructor(s) |
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Ghanei, F |
look up |
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| On-line Resources |
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| Other Courses Taught By: Ghanei, F |
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