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doc:modeling_tasks_and_actions [2014/08/05 08:38] admindoc:modeling_tasks_and_actions [2014/08/05 08:39] – [Describing observed actions (ABOX)] admin
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 These instances can, for example, be generated by an action recognition system that interacts with the knowledge base and populates the set of action instances based on observations of humans. Based on these observations, the system can set parameters like the startTime, the endTime, the objectActedOn, or the bodyPartUsed. These instances can, for example, be generated by an action recognition system that interacts with the knowledge base and populates the set of action instances based on observations of humans. Based on these observations, the system can set parameters like the startTime, the endTime, the objectActedOn, or the bodyPartUsed.
  
-For more information, see [[http://ias.in.tum.de/publications/pdf/tenorth09dataset.pdf|tenorth09dataset]] or [[http://ias.in.tum.de/publications/pdf/beetz09qlts.pdf|beetz09qlts]].+For more information, see [[http://knowrob.org/_media/bib/tenorth09dataset.pdf|tenorth09dataset]] or [[http://knowrob.org/_media/bib/beetz10ameva.pdf|beetz10ameva]].
  
 ===== Putting it all together ===== ===== Putting it all together =====
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   * Action verification: If the action does not 100% fit, you can check all sub-events and see which one differs.   * Action verification: If the action does not 100% fit, you can check all sub-events and see which one differs.
  
-  * Action execution: The abstract task model can be used to generate code for the robot's planning system (see the [[publications| paper on importing web instructions]].+  * Action execution: The abstract task model can be used to generate code for the robot's planning system (see the [[http://knowrob.org/_media/bib/tenorth10webinstructions.pdf| paper on importing web instructions]].