GRASPion: an Open-Source, Programmable Brainbot for Active Matter Research
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arXiv
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866911144320434176 |
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| author | Novkoski, F. Mélard, M. Delens, M. Wéry, F. Noirhomme, M. Pande, J. Maier, A. Smith, A. -S. Vandewalle, N. |
| author_facet | Novkoski, F. Mélard, M. Delens, M. Wéry, F. Noirhomme, M. Pande, J. Maier, A. Smith, A. -S. Vandewalle, N. |
| contents | We present the GRASPion, a compact, open-source bristlebot designed for the controlled study of active matter systems. Built around a low-cost Arduino-compatible board and modular 3D-printed components, the GRASPion combines ease of use, programmability, and mechanical versatility. It features dual vibrating motors for self-propulsion, integrated sensors for local interaction, and customizable firmware enabling various motion modes, from ballistic to diffusive regimes. The robot is equipped with onboard IR communication, color and proximity sensors, and a magnetometer, allowing for real-time interaction and complex collective behaviors. With a runtime exceeding 90 minutes and reproducible fabrication, the GRASPion provides a robust and scalable platform for both educational and research applications in out-of-equilibrium physics. This article details the mechanical and electronic design and software architecture of the GRASPion, and illustrates its capabilities through prototypical experiments relevant to active matter. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_07437 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | GRASPion: an Open-Source, Programmable Brainbot for Active Matter Research Novkoski, F. Mélard, M. Delens, M. Wéry, F. Noirhomme, M. Pande, J. Maier, A. Smith, A. -S. Vandewalle, N. Soft Condensed Matter Adaptation and Self-Organizing Systems We present the GRASPion, a compact, open-source bristlebot designed for the controlled study of active matter systems. Built around a low-cost Arduino-compatible board and modular 3D-printed components, the GRASPion combines ease of use, programmability, and mechanical versatility. It features dual vibrating motors for self-propulsion, integrated sensors for local interaction, and customizable firmware enabling various motion modes, from ballistic to diffusive regimes. The robot is equipped with onboard IR communication, color and proximity sensors, and a magnetometer, allowing for real-time interaction and complex collective behaviors. With a runtime exceeding 90 minutes and reproducible fabrication, the GRASPion provides a robust and scalable platform for both educational and research applications in out-of-equilibrium physics. This article details the mechanical and electronic design and software architecture of the GRASPion, and illustrates its capabilities through prototypical experiments relevant to active matter. |
| title | GRASPion: an Open-Source, Programmable Brainbot for Active Matter Research |
| topic | Soft Condensed Matter Adaptation and Self-Organizing Systems |
| url | https://arxiv.org/abs/2509.07437 |