Plant-Inspired Robot Design Metaphors for Ambient HRI
Victor Nikhil Antony, Adithya R N, Sarah Derrick, Zhili Gong, Peter M. Donley, Chien-Ming Huang

TL;DR
This paper explores using plant metaphors to design ambient, subtle, and expressive robots for human-robot interaction, challenging traditional anthropomorphic paradigms through iterative prototyping and user insights.
Contribution
It introduces a set of plant-inspired robotic prototypes and provides design insights on how plant metaphors influence perceptions and interactions in HRI.
Findings
Plant-inspired robots evoke perceptions of subtle presence and temporality.
Prototypes demonstrate new expressive forms based on plant morphologies.
User perceptions reveal potential for more ambient and less demanding HRI designs.
Abstract
Plants offer a paradoxical model for interaction: they are ambient, low-demand presences that nonetheless shape atmosphere, routines, and relationships through temporal rhythms and subtle expressions. In contrast, most human-robot interaction (HRI) has been grounded in anthropomorphic and zoomorphic paradigms, producing overt, high-demand forms of engagement. Using a Research through Design (RtD) methodology, we explore plants as metaphoric inspiration for HRI; we conducted iterative cycles of ideation, prototyping, and reflection to investigate what design primitives emerge from plant metaphors and morphologies, and how these primitives can be combined into expressive robotic forms. We present a suite of speculative, open-source prototypes that help probe plant-inspired presence, temporality, form, and gestures. We deepened our learnings from design and prototyping through…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPlant and Biological Electrophysiology Studies · Animal and Plant Science Education · Modular Robots and Swarm Intelligence
