List of all ROB courses

Information
4 Credits
Winter term, odd years
Lecture

Prerequisites
none
Contact
Geoff Hollinger
541.737.5906
312 Graf Hall

Course Description

This course will examine sequential decision making in robotics with a focus on motion planning, robot learning, and related optimization problems applied to fielded robotic systems in marine, aerial, and ground domains.

Topics

  • Discrete Planning
  • Sampling-based Planning
  • Planning Under Uncertainty
  • Multi-robot Systems
  • Optimization
  • Performance Guarantees

Learning Outcomes

The student, upon successful completion of this course, will be able to:

  1. Formulate sequential decision making problems for robotic systems
  2. Solve sequential decision making problems using state-of-the-art techniques
  3. Read and assess technical papers in sequential decision making
  4. Produce a research paper on a sequential decision making topic in robotics