2 papers
cond-mat.soft2026
Physics-informed digital twin and onboard control of a brainbot for intelligent active matter
Isa Mammadli, Prajol Shrestha, Jayant Pande +6
Establishing adaptive particles that sense their state, anticipate their evolution, and compute control inputs onboard has been a major challenge in non-equilibrium physics. We add…
cond-mat.soft2025
GRASPion: an Open-Source, Programmable Brainbot for Active Matter Research
F. Novkoski, M. Mélard, M. Delens +6
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…