Eating is a crucial activity of daily living (ADL).
Unfortunately, for the millions of people who need assistance
from a caregiver to eat due to a disability, mealtimes can
result in feelings of self-consciousness, embarassment, or being
a burden. In this project, we work closely with end-users to
co-design a robot-assisted feeding system to alleviate these
challenges. The ultimate goal of this project is to develop a
robot that enables any person in any environment to feed
themselves a meal of their choice, while aligning with their
preferences. This work has resulted in fundamental research
contributions in food manipulation, robot learning, and
human-robot interaction, and has been recognized with multiple
best paper awards. This system has been evaluated by dozens of
end-users, including a week-long in-home deployment where it fed
a user breakfasts, lunches, and dinners while he watched TV,
socialized, and worked.