Robotic capabilities framework: A boundary object and intermediate-level knowledge artifact for co-designing robotic processes
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arXiv
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| Auteurs principaux: | , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866909940214398976 |
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| author | Ianniello, Alessandro Murray-Rust, Dave Muscolo, Sara Siebinga, Olger Mol, Nicky Zatyagov, Denis Verhoef, Eva Forster, Deborah Abbink, David |
| author_facet | Ianniello, Alessandro Murray-Rust, Dave Muscolo, Sara Siebinga, Olger Mol, Nicky Zatyagov, Denis Verhoef, Eva Forster, Deborah Abbink, David |
| contents | As robots become more adaptable, responsive, and capable of interacting with humans, the design of effective human-robot collaboration becomes critical. Yet, this design process is typically led by monodisciplinary approaches, often overlooking interdisciplinary knowledge and the experiential knowledge of workers who will ultimately share tasks with these systems. To address this gap, we introduce the robotic capabilities framework, a vocabulary that enables transdisciplinary collaborations to meaningfully shape the future of work when robotic systems are integrated into the workplace. Rather than focusing on the internal workings of robots, the framework centers discussion on high-level capabilities, supporting dialogue around which elements of a task should remain human-led and which can be delegated to robots. We developed the framework through reflexive and iterative processes, and applied it in two distinct settings: by engaging roboticists in describing existing commercial robots using its vocabulary, and through a design activity with students working on robotics-related projects. The framework emerges as an intermediate-level knowledge artifact and a boundary object that bridges technical and experiential domains, guiding designers, empowering workers, and contributing to more just and collaborative futures of work. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_02549 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Robotic capabilities framework: A boundary object and intermediate-level knowledge artifact for co-designing robotic processes Ianniello, Alessandro Murray-Rust, Dave Muscolo, Sara Siebinga, Olger Mol, Nicky Zatyagov, Denis Verhoef, Eva Forster, Deborah Abbink, David Robotics As robots become more adaptable, responsive, and capable of interacting with humans, the design of effective human-robot collaboration becomes critical. Yet, this design process is typically led by monodisciplinary approaches, often overlooking interdisciplinary knowledge and the experiential knowledge of workers who will ultimately share tasks with these systems. To address this gap, we introduce the robotic capabilities framework, a vocabulary that enables transdisciplinary collaborations to meaningfully shape the future of work when robotic systems are integrated into the workplace. Rather than focusing on the internal workings of robots, the framework centers discussion on high-level capabilities, supporting dialogue around which elements of a task should remain human-led and which can be delegated to robots. We developed the framework through reflexive and iterative processes, and applied it in two distinct settings: by engaging roboticists in describing existing commercial robots using its vocabulary, and through a design activity with students working on robotics-related projects. The framework emerges as an intermediate-level knowledge artifact and a boundary object that bridges technical and experiential domains, guiding designers, empowering workers, and contributing to more just and collaborative futures of work. |
| title | Robotic capabilities framework: A boundary object and intermediate-level knowledge artifact for co-designing robotic processes |
| topic | Robotics |
| url | https://arxiv.org/abs/2512.02549 |