#  Nature-Inspired 'Link-Bots' for Self-Organizing Swarm Robotics 

 





May 09, 2025

 

 

   ![Link-bots exhibit collective behavior and can perform a variety of tasks, including transport of objects.  Credit- Harvard John A. Paulson School of Engineering and Applied Sciences](/sites/g/files/omnuum6811/files/styles/hwp_1_1__720x720_scale/public/2025-06/Link-bots%20exhibit%20collective%20behavior%20and%20can%20perform%20a%20variety%20of%20tasks%2C%20including%20transport%20of%20objects.%20%20Credit-%20Harvard%20John%20A.%20Paulson%20School%20of%20Engineering%20and%20Applied%20Sciences.jpg?itok=pKMDmSLj) 

 

Inspired by the collective behavior of ant colonies and schools of fish, researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have unveiled a groundbreaking robotic system that mimics nature’s cooperative swarming abilities—without the need for motors, sensors, or centralized control.

In a new study published in [*Science Advances*](https://www.science.org/doi/10.1126/sciadv.adu8326), an international team led by Professor L. Mahadevan of SEAS and in the Department of Organismic and Evolutionary Biology, and Professor Ho-Young Kim of Seoul National University introduced “link-bots”—centimeter-scale, 3D-printed, V-shaped chains that move and work together using only vibration and simple mechanical linkages.

Each bot is composed of passive, notched links that, when placed on a vibrating surface, generate coordinated, life-like movement. The bots can collectively navigate obstacles, transport objects, and respond to environmental constraints—demonstrating behaviors usually seen only in complex, sensor-laden robots or living organisms.

“What’s remarkable is that these simple mechanical agents produce sophisticated behavior just through physical interactions,” said Mahadevan. “It’s a powerful demonstration of how complexity can emerge from simplicity.”

The research marks a step forward in low-power, scalable swarm robotics, with potential applications in material transport, autonomous sorting, and environmental monitoring.

“This shows a new design paradigm—where intelligence emerges from geometry and interaction rather than complex computation,” added SEAS postdoctoral fellow Kimberly Bowal, who developed a model to simulate and predict the bots’ behavior.

The work reimagines robotic function through the lens of self-organization, drawing parallels to the principles of evolution and natural selection.

Co-authors of the study include Kyungmin Son and Kwanwoo Kim from Seoul National University.



 

 

 



 

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