A physics-informed digital twin of a bristlebot enables onboard model predictive control that achieves accurate autonomous trajectory tracking, providing a proof-of-principle brainbot for intelligent active matter.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.soft 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Physics-informed digital twin and onboard control of a brainbot for intelligent active matter
A physics-informed digital twin of a bristlebot enables onboard model predictive control that achieves accurate autonomous trajectory tracking, providing a proof-of-principle brainbot for intelligent active matter.