Faculty Advisor

Chernova, Sonia

Faculty Advisor

Lindeman, Robert W.

Abstract

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.

Publisher

Worcester Polytechnic Institute

Date Accepted

May 2014

Major

Computer Science

Major

Robotics Engineering

Major

Interactive Media and Game Development

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Computer Science

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