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Course Information​

Course16-831: Introduction to Robot Learning
SemesterFall 2026
TimeTuesday/Thursday, 12:30-1:50 PM
LocationHOA 160
InstructorGuanya Shi

Office Hours​

Each teaching assistant will hold one 45-minute office-hour session per week. Unlisted times and locations will be announced on Piazza.

StaffOffice Hours
Guanya ShiBy appointment
Annabella MacalusoThursday, 10:00-10:45 AM, NSH 4201
Esme RubinsteinThursday, 3:00-3:45 PM, NSH 4208
Jingtian YanMonday, 3:00-3:45 PM, NSH 4211
Pranay GuptaTuesday, 5:00-5:45 PM, NSH 4511
Arthur Fender Coelho BuckerWednesday, 2:00-2:45 PM, NSH 2201G
Jimmy DaiMonday, 2:00-2:45 PM, NSH A521
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Grading Policy​

ComponentPercentage
Homework 115%
Homework 215%
Homework 315%
Homework 415%
Project Presentation20%
Project Report20%

Collaboration Policy​

Collaboration is encouraged, but the work you submit for assignments is expected to be entirely your own. The writing and code must be yours, and you must fully understand everything that you submit. Discussing a paper or how to solve a problem is fine, but you must write your submission yourself. List everyone you collaborated with in the assignment write-up. Highly identical work without proper attribution will be handled according to university policy. See the CMU Academic Integrity Guidelines.

Generative AI tools such as ChatGPT are viewed as collaborators in this course and should be acknowledged accordingly.

Late Policy​

For homework assignments only, students have a total of five late days for the semester. Late time is counted in calendar days, not hours or minutes; for example, a submission one hour late uses one full late day. Work submitted late after all five days have been used receives a zero. Late days do not apply to the project proposal, presentation, or report.

Course Platforms​

Course communication and submissions use three platforms only: Piazza, Gradescope, and the homework GitHub repository. There is no Canvas site for this course.