Monitoring the execution of temporal plans for robotic systems
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2012.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2014
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| Online Access: | http://hdl.handle.net/1721.1/85398 |
| _version_ | 1811068830222385152 |
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| author | Levine, Steven James |
| author2 | Brian C. Williams. |
| author_facet | Brian C. Williams. Levine, Steven James |
| author_sort | Levine, Steven James |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2012. |
| first_indexed | 2024-09-23T08:01:44Z |
| format | Thesis |
| id | mit-1721.1/85398 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:01:44Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/853982019-04-09T16:11:50Z Monitoring the execution of temporal plans for robotic systems Levine, Steven James Brian C. Williams. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2012. Cataloged from PDF version of thesis. Includes bibliographical references (pages 123-125). To achieve robustness in dynamic and uncertain environments, robotic systems must monitor the progress of their plans during execution. This thesis develops a plan executive called Pike that is capable of executing and monitoring plans. The execution monitor at its core quickly and efficiently detects relevant disturbances that threaten future actions in the plan. We present a set of novel offline algorithms that extract sets of candidate causal links from temporally-flexible plans. A second set of algorithms uses these causal links to monitor the execution online and detect problems with low latency. We additionally introduce the TBurton executive, a system capable of robustly meeting a user's high-level goals through the combined use of Pike and a temporal generative planner. An innovative voice-commanded robot is demonstrated in hardware and simulation that robustly meets high level goals and verbalizes any causes of failure using the execution monitor. by Steven James Levine. M. Eng. 2014-03-06T15:39:11Z 2014-03-06T15:39:11Z 2012 2012 Thesis http://hdl.handle.net/1721.1/85398 870304839 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 125 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Levine, Steven James Monitoring the execution of temporal plans for robotic systems |
| title | Monitoring the execution of temporal plans for robotic systems |
| title_full | Monitoring the execution of temporal plans for robotic systems |
| title_fullStr | Monitoring the execution of temporal plans for robotic systems |
| title_full_unstemmed | Monitoring the execution of temporal plans for robotic systems |
| title_short | Monitoring the execution of temporal plans for robotic systems |
| title_sort | monitoring the execution of temporal plans for robotic systems |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/85398 |
| work_keys_str_mv | AT levinestevenjames monitoringtheexecutionoftemporalplansforroboticsystems |