Machine Learning for Robotics

CSE291-D00 - Spring 2021


2021.03.01: Apply for enrollment Here.

General Information

Times & Places

TuTh 5:00PM - 6:20PM

Course Staff

Name Email Office Hours Location
Instructor Hao Su Tu 4:00PM - 5:00PM Remote
Course Assistant Minghua Liu TBD Remote


This is a course for senior undergrads and graduate students, covering core concepts and algorithms in classical robotics and the more modern learning-based methods for robotics. We assume that the course takers have already taken certain deep learning for perception courses (e.g., by taking the Machine Learning meets Geometry (CSE291-I00) in the winter quarter), and are interested in how to train a robot that can interact with the physical world by machine learning methods. The first half of this course covers basic concepts and algorithms of robotics, and the second half introduces the basic concepts, algorithms, and research trends of reinforcement learning.

One feature of this course is that, we will instruct the students to build an armed robot in a simulated virtual environment through programming assignments. For the final project, we ask students to compete in a table-top object organization challenge using the built robot.



Fill in the Google form to apply for enrollment.

Grading (tentative)


The planned syllabus is as below. Certain contents may be added or removed based upon the interactions in class and other situations.


Thank Sapien for support.