• AI functionalities in cobot-based manufacturing for performance improvement in quality control applicationMoor, Madis; Sarkans, Martinš; Kangru, Tavo; Otto, Tauno; Riives, JüriJournal of machine engineering2024 / p. 5-16 https://doi.org/10.36897/jme/189169
• An approach to analyze the performance of advanced manufacturing environmentMahmood, Kashif; Otto, Tauno; Golova, Jelena; Kangru, Tavo; Kuts, VladimirProcedia CIRP2020 / p. 628−633 https://doi.org/10.1016/j.procir.2020.04.042 https://www.scopus.com/sourceid/21100243809 https://www.scopus.com/record/display.uri?eid=2-s2.0-85092433825&origin=inward&txGid=5932497de1d721ece8d8abe545d9eb33
• Design of the exterior-rotor PM synchronous motor for an electric powered paragliderNukki, Rene; Lehtla, Tõnu; Kilk, Aleksander; Kangru, Tavo2015 56th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)2015 / p. 245-248 : ill
• Development of intelligent manufacturing cell structure for SME digital manufacturing hub = Intelligentse robot-tootmise struktuuri arendus väike- ja keskmise suurusega ettevõtete digitaalsete töökohtade tarbeksKangru, Tavo2021 https://www.ester.ee/record=b5396857*est https://digikogu.taltech.ee/et/Item/999c711f-5ccf-4195-9188-c919894cc7ce https://doi.org/10.23658/taltech.7/2021
• Development of performance evaluation model for a robot-based manufacturing cellKangru, Tavo18th International Symposium "Topical Problems in the Field of Electrical and Power Engineering". Doctoral School of Energy and Geotechnology III : Toila, Estonia, January 14-19, 2019 : [proceedings]2019 / p. 101-102 https://www.ester.ee/record=b5183874*est
• Doktoritöö ulatab robottöökohti loovatele ettevõtetele abikäe [Võrguväljaanne]Harrik, Airika; Kangru, Tavonovaator.err.ee2021 / fot https://novaator.err.ee/1608097405/doktoritoo-ulatab-robottookohti-loovatele-ettevotetele-abikae
• Intelligent decision making approach for performance evaluation of a robot-based manufacturing cellKangru, Tavo; Riives, Jüri; Otto, Tauno; Pohlak, Meelis; Mahmood, KashifASME 2018 International Mechanical Engineering Congress and Exposition : Pittsburgh, Pennsylvania, USA, November 9–15, 20182018 / Paper No. IMECE2018-86666, pp. V002T02A092; 10 p. : ill http://doi.org/10.1115/IMECE2018-86666
• Knowledge-driven based performance analysis of robotic manufacturing cell for design improvementKangru, Tavo; Mahmood, Kashif; Otto, Tauno; Moor, Madis; Riives, JüriASME 2020 : International Mechanical Engineering Congress and Exposition, November 16–19, 2020 : Virtual, Online : proceedings2020 / Paper No: IMECE2020-23541, V006T06A032 ; 8 p https://doi.org/10.1115/IMECE2020-23541
• Optimisation of decision-making process in industrial robot selectionKangru, Tavo; Riives, Jüri; Otto, Tauno; Kuts, Vladimir; Moor, MadisJournal of the machine engineering2020 / p. 70−81 https://doi.org/10.36897/jme/117788 https://www.scopus.com/sourceid/21100781705 https://www.scopus.com/record/display.uri?eid=2-s2.0-85083503270&origin=inward&txGid=fbbbb16d35f3a534406ed20ffc3bb0e2
• Suitability analysis of using industrial robots in manufacturingKangru, Tavo19th International Symposium “Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III” : Tartu, Estonia, January 14-17, 20202020 / p. 87-88 : ill https://www.ester.ee/record=b5291755*est
• Suitability analysis of using industrial robots in manufacturingKangru, Tavo; Riives, Jüri; Mahmood, Kashif; Otto, TaunoProceedings of the Estonian Academy of Sciences2019 / p. 383–388 : ill http://www.kirj.ee/32687/?tpl=1061&c_tpl=1064 https://doi.org/10.3176/proc.2019.4.06 https://www.scopus.com/sourceid/11500153303 https://www.scopus.com/record/display.uri?eid=2-s2.0-85074658014&origin=inward&txGid=ac031f3c30ff53699d74310e453d1e47 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=P%20EST%20ACAD%20SCI&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000505921600007
• The mobility of robotised work cells in manufacturingVaher, Kristo; Kangru, Tavo; Otto, Tauno; Riives, JüriProceedings of the 30th International DAAAM Symposium : Intelligent Manufacturing & Automation, 23-26th October 2019, Zadar, Croatia2019 / p. 1049-1055 : ill https://doi.org/10.2507/30th.daaam.proceedings.146