Abstract: Recent innovations in crowd computing, crowdsourcing and remote access
technologies have altered the way in which many traditional artificial
intelligence and robotics studies are designed, conducted and
evaluated. Research on shared autonomy, human-robot interaction and
robot learning has particularly benefited from the greater access to
data and users that such techniques enable, leading to new data-driven
techniques and more extensive evaluations. In this talk, I will present
ongoing projects aimed at enabling robots to learn from everyday
people, examining how access to thousands of potential robot users can
be leveraged to overcome several challenges common in robotics research.
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