Article (Scientific journals)
GRASPion: An open-source, programmable brainbot for active matter research.
Novkoski, Filip; Mélard, Médéric; Delens, Megan et al.
2026In Review of Scientific Instruments, 97 (1)
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Keywords :
Customizable; Ease-of-use; Integrated sensors; Local interactions; Mechanical; Modulars; Motion modes; Open-source; Programmability; Self-propulsion; Instrumentation
Abstract :
[en] We present the GRASPion, a compact, open-source bristlebot designed for the controlled study of active matter systems. Built around an 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 min 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, such as diffusive motion, synchronization, and phototaxis.
Disciplines :
Physics
Electrical & electronics engineering
Mechanical engineering
Author, co-author :
Novkoski, Filip   ;  Université de Liège - ULiège > Département de physique > Physique statistique ; PULS, Institute for Theoretical Physics, FAU Erlangen-Nurnberg, 91058 Erlangen, Germany
Mélard, Médéric  ;  Université de Liège - ULiège > Département de physique
Delens, Megan  ;  Université de Liège - ULiège > Complex and Entangled Systems from Atoms to Materials (CESAM)
Wéry, Fanny  ;  Université de Liège - ULiège > Département de physique
Noirhomme, Martial  ;  Université de Liège - ULiège > Département de physique > Physique statistique
Pande, J ;  Department of Physical and Natural Sciences, FLAME University, Pune, India
Maier, A ;  Pattern Recognition Lab, Department of Computer Science, FAU Erlangen-Nurnberg, Erlangen, Germany
Smith, A-S ;  PULS, Institute for Theoretical Physics, FAU Erlangen-Nurnberg, 91058 Erlangen, Germany ; Group for Computational Life Sciences, Division of Physical Chemistry, Ruđer Bošković Institute, Zagreb 10000, Croatia
Vandewalle, Nicolas   ;  Université de Liège - ULiège > Département de physique > Physique statistique
 These authors have contributed equally to this work.
Language :
English
Title :
GRASPion: An open-source, programmable brainbot for active matter research.
Publication date :
01 January 2026
Journal title :
Review of Scientific Instruments
ISSN :
0034-6748
eISSN :
1089-7623
Publisher :
American Institute of Physics, United States
Volume :
97
Issue :
1
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
Fondation Francqui
AvH - Alexander von Humboldt-Stiftung
Funding text :
N.V. acknowledges the Fondation Francqui for support. F.N. acknowledges the Alexander von Humboldt Foundation for a postdoctoral fellowship. The authors thank C. Ibanez Gil, D. Manianga, and R. Th\u00E9nor for their contribution to the color synchronization of the bots.
Available on ORBi :
since 03 April 2026

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