Robotics researchers, biologists, and AI practitioners interested in autonomous scientific instrumentation.
Deploying Active Inference and AI to automate robotic microscopy and manage soil biology at scale.
Lead: Craig Arnold
This project is archived. It is no longer active, and any participation prompts below describe how it previously operated.
This Ecosystem project turns a robotic microscope into an Active Inference-driven intelligent agent for managing soil biology at scale. It develops AI systems that autonomously operate microscopy hardware, acquire data, and make decisions — treating the instrument as an inference agent in a biological environment.
The project develops Active Inference architectures for autonomous robotic microscopy — creating systems that observe, plan, and act in order to characterize biological samples with minimal human intervention. The application domain is soil biology, supporting FarmWorks-adjacent ecological research, with Swiss Soil signed on as a beta-testing partner.
Roboticists, biologists, and AI engineers interested in autonomous instrumentation are welcome.
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