Electronic‐Free Particle Robots Communicate through Architected Tentacles
Communication among particle robots is crucial for developing swarm intelligence. Current particle robots rely entirely on electronic communication systems, requiring a sensor to receive signals, a transducer to send signals, a processor to process them, and a battery to power the system. In this work, an alternative, electronics‐free communication strategy for particle robots is introduced via physical contact between their architected tentacles. Instead of relying on a central controller, the communication protocols are embodied in the geometrical outlines of these tentacles and can be further tuned with external vibrations. Separated particles can interlock under external pressure to form stable clusters resembling “solids,” or vaporize into “gas” by spontaneously repelling one another. Surrogate simulation tools have been developed to guide the design of these robots, enabling the inverse design of particle geometries for programmable interlocking and repulsion. Based on these basic communication schemes, particle robots can achieve a range of functionalities through collective behavior, including fast, sequential, and hierarchical deployment, locomotion, and coordinated group navigation. Finally, this contact‐based communication concept is extended to particles with different shapes, hybrid particle interactions, 3D particles, and microscale particle robots.
Authors
- Shucong Li (ORCID: https://orcid.org/0000-0003-4407-045X)
- Bolei Deng (ORCID: https://orcid.org/0000-0003-2589-2837)
- Wojciech Matusik (ORCID: https://orcid.org/0000-0003-0212-5643)
- Minghao Guo (ORCID: https://orcid.org/0000-0003-3408-4997)
- Olga Rivera (ORCID: https://orcid.org/0000-0002-5187-7174)
- William T. Freeman (ORCID: https://orcid.org/0000-0002-2231-7995)
- Bohan Wang (ORCID: https://orcid.org/0000-0003-1439-1455)
- Xinyi Yang (ORCID: https://orcid.org/0000-0001-8448-1101)
- Víctor Riera Naranjo (ORCID: https://orcid.org/0009-0001-8621-0986)
- Leonid Sopizhenko
Institutions
- Georgia Institute of Technology (US)
- National University of Singapore (SG)
- Solomon R. Guggenheim Museum (US)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Advanced Intelligent Systems
- Published
- 2025-07-13
- DOI
- https://doi.org/10.1002/aisy.202500151
- Citations
- 1
- Primary Topic
- Modular Robots and Swarm Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.71
Funders
- Georgia Institute of Technology