Angelique Taylor - Improving Human-Robot Interaction

Angelique Taylor is a PhD student in the Healthcare Robotics Lab at
the Computer Science and Engineering Department at UC San Diego.
Angelique completed two Bachelor's degrees in Electrical and
Computer Engineering from the University of Missouri-Columbia,
where she worked on machine learning research and developed an
interest in learning algorithms. Since then, she has become
interested in machine learning methods that can be used for
interactive agents, leading her to focus on research in human-robot
interaction. Working under the direction of Dr. Laurel Riek, her
research lies at the intersection of computer vision, robotics, and
artificial intelligence. Her work aims to enable robots to interact
and work with groups of people in real-world environments. She is a
National Science Foundation Graduate Research Fellow, Arthur J.
Schmitt Presidential Fellow, GEM Fellow, and Google Anita Borg
Memorial Scholar. Series: "UCTV Prime" [Science] [Show ID: 33425]