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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6972| Title: | Task-Level Robot Learning |
| Issue Date: | 9-Oct-2013 |
| Description: | We are investigating how to program robots so that they learn from experience. Our goal is to develop principled methods of learning that can improve a robot's performance of a wide range of dynamic tasks. We have developed task-level learning that successfully improves a robot's performance of two complex tasks, ball-throwing and juggling. With task- level learning, a robot practices a task, monitors its own performance, and uses that experience to adjust its task-level commands. This learning method serves to complement other approaches, such as model calibration, for improving robot performance. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
| Other Identifiers: | AITR-1079 http://hdl.handle.net/1721.1/6972 |
| Appears in Collections: | MIT Items |
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