{"authors":[{"id":null,"fullName":"Delft University of Technology","name":null,"surname":null,"rank":1,"pid":null},{"id":null,"fullName":"Universitat Politècnica de Catalunya","name":null,"surname":null,"rank":2,"pid":null}],"openAccessColor":null,"publiclyFunded":false,"eoscIfGuidelines":null,"type":"publication","language":{"code":"eng","label":"English"},"countries":null,"subjects":[{"subject":{"scheme":"FOS","value":"0209 industrial biotechnology"},"provenance":null},{"subject":{"scheme":"FOS","value":"02 engineering and technology"},"provenance":null}],"mainTitle":"Deliverable 2.1 Drill-LIBS","subTitle":null,"descriptions":["Deliverable D2.1 of the DISCOVER project (HORIZON-CL4-2023-TWIN-TRANSITION 01-11-101129909) details the development of the Pokey drilling robotic platform for material  characterization in the built environment. The system integrates a robotic drilling platform with three sensing modalities: X-ray Fluorescence (XRF), Near-Infrared (NIR), and RGB imaging. It is designed to autonomously collect and analyze drill dust samples from 17 distinct classes of construction materials. XRF was chosen over the initially proposed LIBS for its superior stability, reproducibility, and easier robotic integration. The mechanical design features a modular frame, automated sample transport, and Hilti drilling components for robust operation. A LabVIEW-based control system manages the workflow, communicating with motor drivers and sensors. The collected multi-modal data is used to train and evaluate AI models for real-time, high-accuracy material classification. "],"publicationDate":"2026-01-22","publisher":"Zenodo","embargoEndDate":null,"sources":null,"formats":null,"contributors":null,"coverages":null,"bestAccessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/"},"container":null,"documentationUrls":null,"codeRepositoryUrl":null,"programmingLanguage":null,"contactPeople":null,"contactGroups":null,"tools":null,"size":null,"version":null,"geoLocations":null,"id":"doi_dedup___::05a11c874c3e49cdbdd57982dc1f76e9","originalIds":["50|datacite____::05a11c874c3e49cdbdd57982dc1f76e9","10.5281/zenodo.18338806","50|datacite____::27b69f63ac97a57f4107c10f5e807d22","10.5281/zenodo.18338807","50|od______2659::27b69f63ac97a57f4107c10f5e807d22","oai:zenodo.org:18338807"],"pids":[{"scheme":"doi","value":"10.5281/zenodo.18338806"},{"scheme":"doi","value":"10.5281/zenodo.18338807"}],"dateOfCollection":null,"lastUpdateTimeStamp":null,"indicators":{"citationImpact":{"citationCount":0.0,"influence":2.1746283E-9,"popularity":2.6085654E-9,"impulse":0.0,"citationClass":"C5","influenceClass":"C5","impulseClass":"C5","popularityClass":"C5"}},"projects":[{"id":"corda_____he::d933313417be064deb20200aece81850","code":"101129909","acronym":"DISCOVER","title":"Digital, autonomous, Intelligent and Synchronous system for Continuous identification, Optimization and Value Extraction of Resources from the end-of-use built environment","funder":"European Commission","pids":[{"scheme":"doi","value":"10.3030/101129909"}]}],"organizations":null,"communities":[{"code":"eosc","label":"EOSC","provenance":null}],"collectedFrom":[{"key":"openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"},{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"}],"instances":[{"pids":[{"scheme":"doi","value":"10.5281/zenodo.18338806"}],"license":"CC BY","type":"Project deliverable","urls":["https://dx.doi.org/10.5281/zenodo.18338806"],"publicationDate":"2026-01-22","refereed":"nonPeerReviewed","hostedBy":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"collectedFrom":{"key":"openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"}},{"pids":[{"scheme":"doi","value":"10.5281/zenodo.18338807"}],"license":"CC BY","type":"Project deliverable","urls":["https://dx.doi.org/10.5281/zenodo.18338807"],"publicationDate":"2026-01-22","refereed":"nonPeerReviewed","hostedBy":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"collectedFrom":{"key":"openaire____::9e3be59865b2c1c335d32dae2fe7b254","value":"Datacite"}},{"pids":[{"scheme":"doi","value":"10.5281/zenodo.18338807"}],"alternateIdentifiers":[{"scheme":"oai","value":"oai:zenodo.org:18338807"}],"license":"CC BY","accessRight":{"code":"c_abf2","label":"OPEN","scheme":"http://vocabularies.coar-repositories.org/documentation/access_rights/","openAccessRoute":null},"type":"Other literature type","urls":["https://zenodo.org/records/18338807","http://dx.doi.org/10.5281/zenodo.18338807"],"publicationDate":"2026-01-22","refereed":"nonPeerReviewed","hostedBy":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"},"collectedFrom":{"key":"opendoar____::358aee4cc897452c00244351e4d91f69","value":"ZENODO"}}],"links":[{"header":{"relationType":"resultProject","relationClass":"isProducedBy","relatedIdentifier":"corda_____he::d933313417be064deb20200aece81850","relatedRecordType":"project","relationProvenance":"sysimport:crosswalk:repository","trust":"0.9"},"collectedfrom":[{"dsId":"openaire____::3f264f93cf3b0cfc4ede188a6300455c","dsName":"CORDA - COmmon Research DAta Warehouse - Horizon Europe"}],"projectTitle":"Digital, autonomous, Intelligent and Synchronous system for Continuous identification, Optimization and Value Extraction of Resources from the end-of-use built environment","code":"101129909","funding":{"funder":{"id":"ec__________::EC","shortname":"EC","name":"European Commission","jurisdiction":{"code":"EU","label":"European Union"},"pid":null},"level0":{"id":"ec__________::EC::HE","description":"Horizon Europe Framework Programme","name":"HE"},"level1":{"id":"ec__________::EC::HE::HORIZON-RIA","description":"HORIZON  Research and Innovation Actions","name":"HORIZON-RIA"},"level2":{"id":null,"description":null,"name":null}},"startDate":"2024-06-01","endDate":"2028-05-31"}],"otherTitles":null,"green":true,"inDiamondJournal":false,"isGreen":true,"isInDiamondJournal":false}