Sirvi Autor "Vunder, Veiko, juhendaja" järgi

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3D-prinditava kere disain ja analüüs vabavaralisele haridusrobotile Robotont
(Tartu Ülikool, 2023) Mõtshärg, Eva; Vunder, Veiko, juhendaja; Raudmäe, Renno, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
Haridusrobootika maailmas on palju erinevaid roboteid, kuid napib lahendusi, mis sobiksid üheaegselt nii algajale kui edasijõudnud õppurile. Tartu Ülikoolis arendatud Robotont on loodud olema sild kooli- ja tööstusrobootika vahel. Siiski on ka Robotondiga keeruline õpetada paljusid algajatele vajalikke kontseptsioone, kuna platvormi kasutusvõimalused on piiratud ning see ei ole paindlikult muudetav. Samal ajal kogub 3D-printimine järjest populaarsust ja pakub alternatiivi traditsioonilistele tootmismeetoditele. Käesolev magistritöö uurib ja analüüsib Robotondi 3D-printimise otstarbekust. Töö metoodikas rakendatakse välearenduse põhimõtteid, arvutijuhitavaid mõõtmisi ja semantilist versioonihaldust. Töös on lisaks valdkonna teoreetilisele ülevaatele kirjeldatud Robotondi 3D-prinditava kere disainiprotsessi ja põhjendatud tehtud valikuid. Empiiriliste katsete toel töötati välja 3D-printimise protsess, mis tagab Robotondi õppetöös kasutamiseks piisava vastupidavuse. Kasutades töö raames loodud 3D-mudeleid ja optimeeritud G-koodi faile on igaühel võimalik 3D-printida endale oma Robotont ja hõlpsalt kohandada see oma vajadustele vastavaks.
Development of an Autonomous Open-Source Inventory Performance Robot for the University of Tartu Library
(Tartu Ülikool, 2025) Zvirgzdina, Robina; Raudmäe, Renno, juhendaja; Vunder, Veiko, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Bioinseneeria instituut
Inventory management is crucial for the successful functioning of a venue. Manual inventory management and asset tracking can be time-consuming, dull, and inefficient. In particular, in large-scale libraries, it can take personnel months to perform a single inventory round of all the books. Nowadays, using advanced robotics solutions, it is possible to automate the process and provide more accurate information on the availability and location of the desired book. This results in higher satisfaction for librarians and visitors, as they can successfully find the books of interest. This thesis aims to create an open-source solution that contains a radio frequency identification system for the University of Tartu library. The result is intended to use the Robotont project as a base platform. It should be able to autonomously navigate through library halls while scanning the bookshelves and adjusting the antenna height for it to be at the same level as the books. Simultaneously, it should document the book IDs and their location to produce a heat map containing the most probable location for each book.
Kitting station of the learning factory
(Tartu Ülikool, 2023) Hurova, Iryna; Kruusamäe, Karl, juhendaja; Vunder, Veiko, juhendaja
Learning factories has become a new educational approach that allows students to get hands-on experience working in a simplified factory environment. The aim of this thesis is to assemble a multi-robot setup where two or more autonomous robots can communicate with each other to achieve the desired goal. Robot Operating System (ROS) is used to create software for the manipulator robot in the kitting station, which figures as one of the components of the learning factory.
Payload transportation system of a learning factory
(Tartu Ülikool, 2023) Avalos Conchas, Paola; Kruusamäe, Karl, juhendaja; Vunder, Veiko, juhendaja
The transition to Industry 4.0 has highlighted the urgent need for a skilled workforce proficient in operating and maintaining advanced robotic and automation systems. To address this critical issue and prepare the next generation of industry professionals, this thesis focuses on the design and implementation of a payload transportation system for a Learning Factory. The proposed system combines SLAM, AR Tracking, and ROS Navigation technologies to enable efficient navigation and obstacle avoidance within the Learning Factory environment. Additionally, the system facilitates seamless cooperation with a manipulator robot, enabling collaborative tasks and enhancing the overall efficiency of the system. The outcome of this work is demonstrated in a book transportation scenario incorporating a multi-robot system that consists of two manipulator robots, and a mobile base. This work contributes to bridging the skills gap and equipping the next generation of industry professionals with practical robotics knowledge.
Süsinikelektroodidega ioonpolümeer-metallkomposiitmaterjali painde ja jõu vahelise sõltuvuse uurimine
(Tartu Ülikool, 2013) Hamburg, Edgar; Johanson, Urmas, juhendaja; Vunder, Veiko, juhendaja; Tartu Ülikool. Loodus- ja tehnoloogiateaduskond; Tartu Ülikool. Tehnoloogiainstituut