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| Content Provider | ACM Digital Library |
|---|---|
| Author | Veloso, Manuela M Yoon, Kevin Rybski, Paul E. Stolarz, Jeremy |
| Abstract | Effective human/robot interfaces which mimic how humans interact with one another could ultimately lead to robots being accepted in a wider domain of applications. We present a framework for interactive task training of a mobile robot where the robot learns how to do various tasks while observing a human. In addition to observation, the robot listens to the human's speech and interprets the speech as behaviors that are required to be executed. This is especially important where individual steps of a given task may have contingencies that have to be dealt with depending on the situation. Finally, the context of the location where the task takes place and the people present factor heavily into the robot's interpretation of how to execute the task. In this paper, we describe the task training framework, describe how environmental context and communicative dialog with the human help the robot learn the task, and illustrate the utility of this approach with several experimental case studies. |
| Starting Page | 49 |
| Ending Page | 56 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781595936172 |
| DOI | 10.1145/1228716.1228724 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2007-03-10 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Human-robot interaction Learning by demonstration |
| Content Type | Text |
| Resource Type | Article |
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