arXiv (OAI Expanded)
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Autonomous Droplet Navigation via Model-Based Reinforcement Learning
Precise manipulation of liquid droplets underpins lab-on-a-chip platforms for diagnostics, chemical synthesis, and biological assays. Yet autonomous droplet transport through confined geometries of varying complexity remains an open challenge. Droplets exhibit contact-angle hysteresis, deformability
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