Designing Anthropomorphic Robots For The Real World: Morphological Analysis For Design Science Research On Current And Upcoming Robot Technologies

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dc.contributor.authorLeichtle, Marcel
dc.contributor.authorHomburg, Daniel
dc.date.accessioned2023-12-26T18:37:33Z
dc.date.available2023-12-26T18:37:33Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.219
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other143461f5-6393-4b1f-8fd7-ade1b118d3ea
dc.identifier.urihttps://hdl.handle.net/10125/106597
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSocial Robots - Robotics and Toy Computing
dc.subjectanthropomorphic robot
dc.subjectcomparative analysis
dc.subjectmorphological box
dc.subjectrobot capabilities
dc.subjectrobot design
dc.titleDesigning Anthropomorphic Robots For The Real World: Morphological Analysis For Design Science Research On Current And Upcoming Robot Technologies
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractThe proliferation of anthropomorphic robots in various domains requires a standardized approach to evaluate their capabilities and suitability for real-world applications. This review synthesizes adequate research and provides an overview of essential design dimensions in the form of a morphological box to support designers of anthropomorphic robots. We cover five design dimensions: 1) human-like appearance, 2) robot mobility, 3) human-robot interaction, 4) robot construction, and 5) robot sensors. Using this morphological box, researchers and practitioners become aware of design decisions they will have to make when designing anthropomorphic robots. It prevents fragmented or partial perspectives on anthropomorphic robot design and provides a basis for structured, holistic design explorations. Using the case of anthropomorphic robots, we discuss the potential of morphological analysis for design science research (DSR).
dcterms.extent10 pages
prism.startingpage1742

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