Course Description

This course will cover basic principles for endowing mobile autonomous robots with planning, perception, and decision-making capabilities. Algorithmic approaches for trajectory optimization; robot motion planning; robot perception, localization, and simultaneous localization and mapping (SLAM); state machines. Extensive use of the Robot Operating System (ROS) for demonstrations and hands-on activities. Prerequisites: CS 106A or equivalent, CME 100 or equivalent (for calculus, linear algebra), and CME 106 or equivalent (for probability theory).

Instructors

Mac Schwager
Roya Firoozi

Course Assistants

Javier Yu	Tanmay Agarwal	Keiko Nagami	MacVincent Agha-Oko
Abhyudit Manhas	Joe Vincent	Sunny Singh

Meeting Times

Lectures meet on Tuesdays and Thursdays from 1:30pm to 2:50pm at Gates B1.

Students are expected to attend one 2-hour section each week. Check announcements for more details

Office Hours

Mac's office hours are Tuesdays 3-4 PM in Durand 266 and by appointment.

CA Office Hours

Monday (Hybrid, 5:30 PM-7:30 PM, Durand 023) Sunny & Tanmay

Tuesday (Hybrid, 10 AM-12 PM, Durand 450) Joe & Tanmay

Wednesday (Hybrid, 9 AM-11 AM, Durand 270) Keiko & Javier

Thursday (In-Person, 6:30 PM-8:30 PM, Skilling) Abhyudit & MacVincent

For urgent questions, email the staff mailing list at aa274a-aut2324-staff@lists.stanford.edu

Syllabus

The class syllabus is on Canvas.

Resources

You may need to use VMWare to run various parts of the software for this class. Follow the setup guide here.

Links

Canvas -- for course content, recordings, and announcements.
Gradescope -- for homework and project submissions.
Edstem -- for discussions and questions.

Schedule

Refer to the syllabus on Canvas.