Welcome to CSCI 529 — Winter 2023

NOTE: All posted/mentioned times mentioned related to this course are in Atlantic Time.

Professors

• Dr. Jean-Alexis Delamer

• jdelamer at stfx.ca

Class Times

Lecture/Lab Section

• Mon 12:15pm - 1:05pm, MULH 4024

• Wed 11:15am - 12:05pm, MULH 4024

• Thu 1:15am - 2:05pm, MULH 4024

Office Hours

Office Hours Etiquette — Don’t Do This

• Jean-Alexis Delamer - Annex 9C

  • Monday, 1:15pm – 3:15pm

  • Tuesday, 9:00am – 11:00am

  • Thursday, 9:00am – 11:00am

Notes

• 1. Introduction
• 2. Probabilities
• 3. Robot Environment Interaction
• 4. Localization
• 5. Discrete Bayes Filters
• 6. Robot Motion
• 7. Sensor Models
• 8. Grid Localization
• 9. Monte-Carlo Localization
• 10. Markov Decision Process
• 11. Policies and Value Function
• 12. Dynamic Programming
• 13. Partially Observable Markov Decision Process

Assignments

• 1. Localization in a Maze
• 2. Monte-Carlo Localization in a Maze

Project

• Project

Course outline

• Computer Science 529 – Mobile Robotics