Course Syllabus

The following syllabus is a tentative plan and is subject to change.

Date Topic Slides
August 29

September 5
3D Perception I

September 12
  • Project Proposal Presentation
  • Introduction to Robot Simulations
  • Introduction to Deep Learning Frameworks
  • Project Proposal Slides Due on September 10

  • September 19
    3D Perception II

    September 26
    Visual Modeling for Robot Control

    Otcober 3
    Multimodal Perception

    Otcober 10
    Mid-term Project Presentation

  • Mid-term Project Slides Submission Due on Otcober 8

  • Otcober 17 Fall break, No class
    Otcober 24
    Self-Supervised Learning I

    Otcober 31
    Self-Supervised Learning II

    November 7
    Reinforcement Learning I

    November 14
    Reinforcement Learning II

    November 21 Thanksgiving, No class
    November 28
    Large Vision-Language Model for Robotics

    December 5
    Final Project Presentation

  • Final Project Presentation Slides Due on December 3
  • Final Project Report and Code Due on December 17