Overview
The course focuses on teaching how assistive robots can recognize human intentions to provide effective assistance. It covers principles applicable to both socially and physically assistive robots, emphasizing the importance of understanding human goals. The course explores extracting human intent from behavior using nonverbal cues like eye gazes and gestures. It discusses research in autonomous robots collaborating with humans and robot arms aiding individuals with mobility impairments. The teaching method involves a talk by a postdoctoral fellow in the field, presenting examples and incorporating nonverbal behavior into robot systems. The intended audience includes individuals interested in robotics, human-robot interaction, and assistive technologies.
Syllabus
Introduction
How can robots help people
Socially Assistive Robotics
Physically Assistive Robotics
Social Assistance vs Physical Assistance
Outline
Recognizing Human Intent
Example
Types of Intent
Nonverbal Behavior
Literature Review
Share Autonomy
Predicting Human Intent
Mode Switching
Direct Inputs
Summary
Collaborations
Shared Autonomy
Taught by
Paul G. Allen School