Catalog Description: Topics will vary from semester to semester. See Computer Science Division announcements.
Units: 1.0-4.0
Formats:
Fall: 3.0-9.0 hours of lecture per week
Spring: 2.0-5.0 hours of lecture per week
Grading basis: letter
Final exam status: No final exam
Department Notes: As robot autonomy advances, it becomes more and more important to develop algorithms that are not solely functional, but also mindful of the end-user. How should the robot move differently when it's moving in the presence of a human? How should it learn from user feedback? How should it assist the user in accomplishing day to day tasks? These are the questions we will investigate in this course. We will contrast existing algorithms in robotics with studies in human-robot interaction, discussing how to tackle interaction challenges in an algorithmic way, with the goal of enabling generalization across robots and tasks. We will also sharpen research skills: giving good talks, experimental design, statistical analysis, literature surveys. Please see http://www.eecs.berkeley.edu/~anca/AHRI.html for more info.