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physics.bio-ph2023★ 1 cited
Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learning
Samuel Tovey, David Zimmer, Christoph Lohrmann +5
Multi-Agent Reinforcement Learning (MARL) is a promising candidate for realizing efficient control of microscopic particles, of which micro-robots are a subset. However, the micros…
physics.bio-ph2011★ 543 cited
Microswimmers in Patterned Environments
Giovanni Volpe, Ivo Buttinoni, Dominik Vogt +2
We demonstrate with experiments and simulations how microscopic self-propelled particles navigate through environments presenting complex spatial features, which mimic the conditio…