Robots that Evolve with Us: Modular Co-Design for Personalization, Adaptability, and Sustainability

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Authors: Lingyun Chen, Qing Xiao, Zitao Zhang, Eli Blevis, Selma Šabanović
Cited by: 1
References: 87

Abstract

Many current robot designs prioritize efficiency and one-size-fits-all solutions, oftentimes overlooking personalization, adaptability, and sustainability. To explore alternatives, we conducted two co-design workshops with 23 participants, who engaged with a modular robot co-design framework. Using components we provided as building blocks, participants combined, removed, and invented modules to envision how modular robots could accompany them from childhood through adulthood and into older adulthood. The participants’ designs illustrate how modularity (a) enables personalization through open-ended configuration, (b) adaptability across shifting life-stage needs, and (c) sustainability through repair, reuse, and continuity. We therefore derive design principles that establish modularity as a foundation for lifespan-oriented human–robot interaction. This work reframes modular robotics as a flexible and expressive co-design approach, supporting robots that evolve with people, rather than static products optimized for single moments or contexts of use.

Fields of Study & Subjects

Innovative Approaches in Technology and Social Development Modular Robots and Swarm Intelligence

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–24
Publication date
13 April 2026
Language
EN