Using Activity Recognition for Building Planning Action Models
Automated Planning has been successfully used in many domains like robotics or transportation logistics. However, building an action model is a difficult and time-consuming task even for domain experts. This paper presents a system, asra - amla , for automatically generating planning action models f...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2013-06-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/942347 |
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| _version_ | 1832547889938694144 |
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| author | Javier Ortiz Angel García-Olaya Daniel Borrajo |
| author_facet | Javier Ortiz Angel García-Olaya Daniel Borrajo |
| author_sort | Javier Ortiz |
| collection | DOAJ |
| description | Automated Planning has been successfully used in many domains like robotics or transportation logistics. However, building an action model is a difficult and time-consuming task even for domain experts. This paper presents a system, asra - amla , for automatically generating planning action models from sensor readings. Activity recognition is used to extract the actions that a user performs and the states produced by those actions. Then, the sequences of actions and states are used to infer a planning action model. With this approach, the system can automatically build an action model related to human-centered activities. It allows us to automatically build an assistance system for guiding humans to complete a task using Automated Planning. To test our approach, a new dataset from a kitchen domain has been generated. The tests performed show that our system is capable of extracting actions and states correctly from sensor time series and creating a planning domain used to guide a human to complete a task correctly. |
| format | Article |
| id | doaj-art-fc956e3cea7643478b7431bf3b531911 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2013-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-fc956e3cea7643478b7431bf3b5319112025-02-03T06:43:04ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-06-01910.1155/2013/942347Using Activity Recognition for Building Planning Action ModelsJavier OrtizAngel García-OlayaDaniel BorrajoAutomated Planning has been successfully used in many domains like robotics or transportation logistics. However, building an action model is a difficult and time-consuming task even for domain experts. This paper presents a system, asra - amla , for automatically generating planning action models from sensor readings. Activity recognition is used to extract the actions that a user performs and the states produced by those actions. Then, the sequences of actions and states are used to infer a planning action model. With this approach, the system can automatically build an action model related to human-centered activities. It allows us to automatically build an assistance system for guiding humans to complete a task using Automated Planning. To test our approach, a new dataset from a kitchen domain has been generated. The tests performed show that our system is capable of extracting actions and states correctly from sensor time series and creating a planning domain used to guide a human to complete a task correctly.https://doi.org/10.1155/2013/942347 |
| spellingShingle | Javier Ortiz Angel García-Olaya Daniel Borrajo Using Activity Recognition for Building Planning Action Models International Journal of Distributed Sensor Networks |
| title | Using Activity Recognition for Building Planning Action Models |
| title_full | Using Activity Recognition for Building Planning Action Models |
| title_fullStr | Using Activity Recognition for Building Planning Action Models |
| title_full_unstemmed | Using Activity Recognition for Building Planning Action Models |
| title_short | Using Activity Recognition for Building Planning Action Models |
| title_sort | using activity recognition for building planning action models |
| url | https://doi.org/10.1155/2013/942347 |
| work_keys_str_mv | AT javierortiz usingactivityrecognitionforbuildingplanningactionmodels AT angelgarciaolaya usingactivityrecognitionforbuildingplanningactionmodels AT danielborrajo usingactivityrecognitionforbuildingplanningactionmodels |