The field of robot learning from demonstration focuses on algorithms that enable a robot to learn new abilities from examples provided by a human teacher. We develop a system that enables users to remotely control a KUKA youBot robot to play a game of Whack-A-Mole through a common web browser. We collect data on how users play and utilize a decision tree learning algorithm to teach the robot to play autonomously. We find that filtering data by score does not significantly improve learned robot performance over using all data. Using A/B testing techniques, we find that motivational game features noticeably improve the quantity and quality of collected data.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Cornman, Scott P.
• Wolff, Andrew Peter

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-050114-111951

Advisor

• Lindeman, Robert W.
• Chernova, Sonia

Year

• 2014

Date created

• 2014-05-01

Resource type

• Major Qualifying Project

Major

• Interdisciplinary

Rights statement

• In Copyright