---
title: "Rule-Based Programming of Molecular Robot Swarms for Biomedical Applications"
authors:
  - "Inbal Wiesel-Kapah"
  - "Gal A. Kaminka"
  - "Guy Hachmon"
  - "Noa Agmon"
  - "Ido Bachelet"
doi: ""
url: "https://ijcai.org/proceedings/2016/495"
pdf: "https://ijcai.org/proceedings/2016/0495.pdf"
venue: "Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence"
year: 2016
pages: "3505-3511"
track: ""
keywords:
---

# Rule-Based Programming of Molecular Robot Swarms for Biomedical Applications

Inbal Wiesel-Kapah, Gal A. Kaminka, Guy Hachmon, Noa Agmon, Ido Bachelet

*Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence*, pages 3505-3511.

## Abstract

Molecular robots (nanobots) are being developed for biomedical applications, e.g., to deliver medications without worrying about side-effects. 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 pay-loads and action-triggering behavior. The mixture of nanobots, when deployed, carries out the treatment program. 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.