Rule-Based Programming of Molecular Robot Swarms for Biomedical Applications

Molecular robots (nanobots) are being developed for biomedical applications, e.g., to deliver medications without worrying about sideeffects. Future treatments will require swarms of heterogeneous nanobots We present a novel approach to generating such swarms from a treatment program. A compiler translates medications, written in a rule-based language, into specifications of a swarm built by specializing generic nanobot platforms to specific payloads and action-triggering behavior. The mixture of nanobots, when deployed, carries out the treatment program. In this research, we describe the medication programming language, and the associated compiler. We prove the validity of the compiler output, and report on in-vitro experiments using generated nanobot swarms.

Lab: 
MAVERICK Lab
SMART Lab

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