CS269: AI Applications in Robotics (fall 2024)



Course Info

  • Semester: Fall 2024
  • Units: 4
  • Time: Tu/Th 10-11:50am
  • Location: DODD 175
  • Website: https://yuchencui.cc/cs269.html
  • Instructor: Yuchen Cui
  • Email: yuchencui@cs.ucla.edu
  • Office Hour: by appointment


Course Objectives

This course provides a high-level overview of recent research in applying AI to robotics through surveying frontier research. This course covers topics including computer vision (robot perception), natural language processing (NLP), robotic control, imitation learning, reinforcement learning (RL), and human-robot interaction (HRI). Students will read and present scientific research papers, write critiques, and conduct a research project to deepen their understanding of these topics.

There will be no textbook. Links to all required readings will be provided in the class schedule.


Prerequisites
  • Proficient in programming (Python preferred)
  • Understanding of linear algebra and probability
  • Machine learning basics

Schedule

(see full schedule)
Week 1   Introduction
Week 2   Robot Perception
Week 3   Transformers and Diffusion Models
Week 4   Data Quality and Curation
Week 5   Large Pretrained Models
Week 6   Reinforcement Learning (RL) and Inverse RL
Week 7   Representation Learning and Meta Learning
Week 8   Human-Robot Interaction
Week 9   Emerging Topics
Week 10   Final Project Presentations

Grading (Course Policies)

20% Paper Presentation 
20% Paper Response
10% Class Participation
50% Final Project



Generative AI Policy
UCLA GenAI Guidance

Academic Honesty Statement
UCLA Academic Integrity Statement

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