We report Year 4 progress in the TRADR project WP5: Persistent models for human-robot teaming. We focused on the analysis, modelling and online-processing of the information-gathering tasks that the human-robot team is performing during a mission, with the goal to enable the robotic system to follow the mission (understand which tasks have been assigned to whom, what the progress is) and provide support for the management of the activities through the agent system and based on the working agreements. The reported work includes further development of team communication processing, ontology modelling, task management support, working agreements. The developed modules are integrated in the TRADR system and were evaluated during the TRADR evaluation exercise.@en

The PAL project1 is developing an embodied conversational agent (robot and its avatar), and applications for child-agent activities that help children from 8 to 14 years old to acquire the required knowledge, skills, and attitude for adequate diabetes selfmanagement. Formal and informal caregivers can use the PAL system to enhance their supportive role for this self-management learning process. We are developing a common ontology (i) to support normative behavior in a flexible way, (ii) to establish mutual understanding in the human-agent system, (iii) to integrate and utilize knowledge from the application and scientific domains, and (iv) to produce sensible human-agent dialogues. The common ontology is constructed by relating and integrating partly existing separate ontologies that are specific to certain contexts or domains. This paper presents the general vision, approach, and state of the art.@en