Gal A. Kaminka's Publications

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Rule-Based Programming of Molecular Robot Swarms for Biomedical Applications

Inbal Wiesel-Kapah, Gal A. Kaminka, Guy Hachmon, Noa Agmon, and Ido Bachelet. Rule-Based Programming of Molecular Robot Swarms for Biomedical Applications. In Proceedings of the International Joint Conference on Artificial Intelligence, pp. 3505–3512, 2016.

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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 payloads 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.

Additional Information

BibTeX

@InProceedings{ijcai16,
author = {Inbal Wiesel-Kapah and Gal A. Kaminka and Guy Hachmon and Noa Agmon and Ido Bachelet},
title = {Rule-Based Programming of Molecular Robot Swarms for Biomedical Applications},
booktitle = IJCAI,
OPTcrossref = {crossref},
OPTkey = {key},
pages = {3505--3512},
year = {2016},
OPTeditor = {editor},
OPTvolume = {volume},
OPTnumber = {number},
OPTseries = {series},
OPTaddress = {address},
OPTmonth = {month},
OPTorganization = {organization},
OPTpublisher = {publisher},
OPTnote = {note},
OPTannote = {annote},
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 payloads 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.},
  wwwnote = {}, 
 OPTkeywords = {},
}

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