Shaping future work systems : a framework for the integration of humanoid robots
- Advances in humanoid robotics, artificial intelligence, and autonomous control are accelerating the integration of humanoid robots into industrial and service‑oriented work systems. Their anthropomorphic kinematics, human‑scale reachability, and multimodal sensing enable operation within infrastructures originally designed for human workers. Yet, structured, theory‑based methodologies for their systematic integration into socio‑technical environments remain limited. This paper presents a human‑factors‑oriented framework supporting the selection, design, implementation, and evaluation of humanoid‑robot‑enhanced work systems. It integrates socio‑technical systems theory, human-robot interaction, and ergonomic design across five domains: robot selection, contextual diagnostics, work allocation and interaction modelling, system integration, and multidimensional evaluation. Industrial cases in automotive assembly and intralogistics demonstrate how humanoid robots can assume physically demanding tasks while humans retain decision‑intensive roles. The framework positions humanoid robots as flexible, modular automation resources and highlights future research needs, including interoperability standards and scalable safety architectures for industrial deployment.
| Author of HS Reutlingen | Hummel, Vera; Schuhmacher, Jan |
|---|---|
| URN: | urn:nbn:de:bsz:rt2-opus4-63860 |
| DOI: | https://doi.org/10.54941/ahfe1007772 |
| ISBN: | 978-1-964867-95-3 |
| Published in: | Industrial and systems engineering : proceedings of the 17th international conference on applied human factors and ergonomics and the affiliated conferences, Istanbul, Turkey, 20-24 July 2026 |
| Publisher: | AHFE International |
| Place of publication: | New York |
| Document Type: | Conference proceeding |
| Language: | English |
| Publication year: | 2026 |
| Tag: | ergonomics; human-robot interaction; humanoid robotics; task allocation; work system design |
| Volume: | 219 |
| Page Number: | 11 |
| First Page: | 21 |
| Last Page: | 31 |
| DDC classes: | 620 Ingenieurwissenschaften und Maschinenbau |
| Open access?: | Ja |
| Licence (German): | Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |

