Now showing items 1-3 of 3

    • A review and comparison of ontology-based approaches to robot autonomy 

      Olivares Alarcos, Alberto; Bebler, Daniel; Khamis, Alaa; Goncalves, Paulo; Habib, Maki K.; Bermejo Alonso, Julita; Barreto, Marcoss; Diab, Mohammed; Rosell Gratacòs, Jan; Quintas, João; Olszewska, Joanna; Nakawala, Hirenkumar; Pignaton de Freitas, Edison; Gyrard, Amelie; Borgo, Stefano; Alenyà Ribas, Guillem; Beetz, Michael; Li, Howard (2019-01-01)
      Open Access
      Within the next decades, robots will need to be able to execute a large variety of tasks autonomously in a large variety of environments. To relax the resulting programming effort, a knowledge-enabled approach to robot ...
    • An ontology for failure interpretation in automated planning and execution 

      Diab, Mohammed; Pomarlan, Mihai; Bebler, Daniel; Akbari, Aliakbar; Bateman, John; Beetz, Michael; Rosell Gratacòs, Jan (2019)
      Conference lecture
      Open Access
      Autonomous indoor robots are supposed to accomplish tasks, like serve a cup, which involve manipulation actions, where task and motion planning levels are coupled. In both planning levels and execution phase, several source ...
    • “Knowing from” – An outlook on ontology enabled knowledge transfer for robotic systems 

      Diab, Mohammed; Pomerlan, Mihai; Bebler, Daniel; Rosell Gratacòs, Jan (2020)
      Conference report
      Open Access
      Encoding practical knowledge about everyday activities has proven difficult, and is a limiting factor in the progress of autonomous robotics. Learning approaches, e.g. imitation learning from human data, have been used as ...