Year: 2025
Type: article
Abstract: This work introduces SwarmRL, a Python package designed to study intelligent active particles. SwarmRL provides an easy-to-use interface for developing models to control microscopic colloids using classical control and deep reinforcement learning approaches. These models may be deployed in simulations or real-world environments under a common framework. We explain the structure of the software and its key features and demonstrate how it can be used to accelerate research. With SwarmRL, we aim to streamline research into micro-robotic control while bridging the gap between experimental and simulation-driven sciences. SwarmRL is available open-source on GitHub at https://github.com/SwarmRL/SwarmRL .
Source: The European Physical Journal E
Institution: University of Stuttgart
Language: English
Topic: Micro and Nano Robotics
Subfield: Condensed Matter Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,153
Funder: Deutsche Forschungsgemeinschaft
Awards: Rechencluster, SFB 1313: Grenzflächenbeeinflusste Mehrfeldprozesse in porösen Medien Strömung, Transport und Deformation, G2628649996, Fortgeschrittene Lernstrategien für Potentialenergieflächen mit Anwendung auf organische Elektrolyte, EXC 2075: Datenintegrierte Simulationswissenschaft (SimTech)
OpenAlex ID: W4409241767