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Course Prefix: CSE   Course #: 468   Keywords:     showing 0 to 1

CSE 468LEC Robotics Algorithms

Lecture

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.

Credits: 3
Grading: Graded (GRD)
Typically Offered: Fall
Prerequisites: (CSE 250 or EAS 230 or EAS 240 or CSE 115 or EAS 999TRCP) and (EE 305 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
 
Published: Oct 04, 2021 12:32:11