Loopy Movements: Emergence of Rotation in a Multicellular Robot
Trevor Smith, Yu Gu

TL;DR
This paper demonstrates how a multicellular robot can achieve emergent, decentralized rotation through simple local interactions inspired by biological systems, maintaining functionality despite failures and morphological changes.
Contribution
It introduces a novel multicellular robot that self-organizes to rotate via local chemical interactions without centralized control, inspired by biological behaviors.
Findings
Inner valleys rotate faster than outer peaks, unlike rigid bodies.
Cells rotate opposite to the overall morphology.
Loopy maintains rotation despite actuator failures and morphological changes.
Abstract
Unlike most human-engineered systems, many biological systems rely on emergent behaviors from low-level interactions, enabling greater diversity and superior adaptation to complex, dynamic environments. This study explores emergent decentralized rotation in the Loopy multicellular robot, composed of homogeneous, physically linked, 1-degree-of-freedom cells. Inspired by biological systems like sunflowers, Loopy uses simple local interactions-diffusion, reaction, and active transport of simulated chemicals, called morphogens-without centralized control or knowledge of its global morphology. Through these interactions, the robot self-organizes to achieve coordinated rotational motion and forms lobes-local protrusions created by clusters of motor cells. This study investigates how these interactions drive Loopy's rotation, the impact of its morphology, and its resilience to actuator…
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Taxonomy
TopicsControl and Dynamics of Mobile Robots · Micro and Nano Robotics · Modular Robots and Swarm Intelligence
