Improving Adaptive Human-Robot Cooperation through Work Agreements

Tina Mioch, Marieke Peeters, Mark A. Neerincx

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

5 Citations (Scopus)


Human-robot teams for disaster response need to dynamically adapt their task allocation and coordination to the momentary context, based on adequate trust stances and taking account of the relevant values and norms (such as safety, health, and privacy). This paper presents a Work Agreement framework that supports this capability. The research question is: Which minimal set of concepts, relations, and associated formalization can be used to model Work Agreements with adequate expressiveness and flexibility? An ontology has been developed that defines core concepts with their relations (creditor, debtor, antecedent, consequent, lifespan, acceptance), encompassing the knowledge to specify, activate, monitor, and reason about work agreements. The framework was implemented and tested as part of the TRADR project. The TRADR system brought forward the desired adaptive team behavior of the concerning robot. The tests led to further refinements of the work agreements framework.

Original languageEnglish
Title of host publicationProceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2018
Place of PublicationPiscataway, NJ
Number of pages6
ISBN (Electronic)978-1-5386-7980-7
ISBN (Print)978-1-5386-7981-4
Publication statusPublished - 2018
EventIEEE RO-MAN 2018: 27th IEEE International Symposium on Robot and Human Interactive Communication - Nanjing, China
Duration: 27 Aug 201831 Aug 2018
Conference number: 27


ConferenceIEEE RO-MAN 2018


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