Diatom‐Inspired 1D Immobile Robots Capable of 2D Collective Mobility

Many robotic systems can exhibit self‐organized collective behaviors similar to those of natural swarms. Some of these systems achieve coordination by enhancing individual intelligence or enabling explicit communication. In contrast, others consist of highly simplified modules capable of only basic sensing and physical interactions. Indeed, the former type faces challenges in manufacturing, modeling, and controlling the swarms, while the latter is usually incapable of complex collective tasks. Here, we present a diatom‐inspired robotic colony that explores group coordination through limited physical interactions. The modules in the colony, BarBots, possess neither individual mobility nor explicit communication capabilities, yet they can exhibit collective behaviors by sliding along their neighbors. We model the relationship between individual and group patterns, enabling the completion of designed collective behaviors. BarBots can also automatically assign actuation phases across a colony using simple light‐sensing abilities, promoting light‐stimulated self‐organization and object manipulation. These findings indicate the feasibility of tuning groups of simple robotic individuals for robust planned motions and collective behaviors.

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Publication Details

Journal
Advanced Intelligent Systems
Published
2026-03-29
DOI
https://doi.org/10.1002/aisy.202501506
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Diatom‐Inspired 1D Immobile Robots Capable of 2D Collective Mobility

Tingrui Zhang, Tianyi Hu, Shuguang Li, Yunjia Zhang et al.
Advanced Intelligent Systems
Modular Robots and Swarm Intelligence
article

Diatom‐Inspired 1D Immobile Robots Capable of 2D Collective Mobility

Tingrui Zhang, Tianyi Hu, Shuguang Li, Yunjia Zhang, Chu Qiao
article en

Abstract

Many robotic systems can exhibit self‐organized collective behaviors similar to those of natural swarms. Some of these systems achieve coordination by enhancing individual intelligence or enabling explicit communication. In contrast, others consist of highly simplified modules capable of only basic sensing and physical interactions. Indeed, the former type faces challenges in manufacturing, modeling, and controlling the swarms, while the latter is usually incapable of complex collective tasks. Here, we present a diatom‐inspired robotic colony that explores group coordination through limited physical interactions. The modules in the colony, BarBots, possess neither individual mobility nor explicit communication capabilities, yet they can exhibit collective behaviors by sliding along their neighbors. We model the relationship between individual and group patterns, enabling the completion of designed collective behaviors. BarBots can also automatically assign actuation phases across a colony using simple light‐sensing abilities, promoting light‐stimulated self‐organization and object manipulation. These findings indicate the feasibility of tuning groups of simple robotic individuals for robust planned motions and collective behaviors.

Advanced Intelligent Systems
University of Michigan (US), Tsinghua University (CN)
Openalex Percentile: Top 4%
Modular Robots and Swarm Intelligence
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