Student Work
Robot Learning through Crowd-Based Games
PublicDownloadable Content
open in viewerThe 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
- Publisher
- Identifier
- E-project-050114-111951
- Advisor
- Year
- 2014
- Date created
- 2014-05-01
- Resource type
- Major
- Rights statement
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- In Collection:
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Thumbnail | Title | Visibility | Embargo Release Date | Actions |
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Robot_Learning_through_Crowd_Based_Games.pdf | Public | Download |
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