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Title:Izdelava robotske aplikacije za točenje s prepoznavanjem gest : diplomsko delo
Authors:ID Černec, Vid (Author)
ID Hace, Aleš (Mentor) More about this mentor... New window
ID Gotlih, Karl (Mentor) More about this mentor... New window
ID Pučko, Rok (Comentor)
Files:.pdf UN_Cernec_Vid_2020.pdf (1,58 MB)
MD5: 1111DC930578D383716830CF19E3DD56
PID: 20.500.12556/dkum/0cbea4b2-f875-4b94-9ab2-5f659679b535
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomska naloga prikazuje povezavo senzorja gibanja, računalnika in kolaborativnega robota UR3. Diplomsko delo zajema nastanek aplikacije, ki od uporabnika zahteva, da pokaže gib roke oz. gesto, ki v našem primeru nadomesti klasično vhodno napravo. Pri prepoznavanju premikov rok uporabnika se uporablja senzor Microsoft Kinect. V kolikor se prebrana gesta najde v naboru shranjenih, se podatki pošljejo naprej. To pomeni, da sledi posredovanje informacij računalniku, ki deluje kakor vmesnik med senzorjem in aktuatorjem. Ob uspešni prepoznavi podatki gredo naprej do kolaborativnega robota. Le-ta se v odvisnosti od prejete geste ustrezno odzove.
Keywords:Aplikacija, kinect, URL3 robot, uporabniški vmesnik
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[V. Černec]
Year of publishing:2020
Number of pages:VI, 32 f.
PID:20.500.12556/DKUM-77106 New window
UDC:004.5:621.865.8(043.2)
COBISS.SI-ID:35588611 New window
NUK URN:URN:SI:UM:DK:5J9DV8HL
Publication date in DKUM:03.11.2020
Views:1201
Downloads:158
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:17.08.2020

Secondary language

Language:English
Title:Robotic pouring with gesture recognition
Abstract:This degree paper shows a connection between movement sensor, computer, and collaborative robot UR3. Degree paper contains development of an application, which requires an arm movement or a gesture from the user, which in our case substitutes classical input device. In our case, sensor Microsoft Kinect is used to recognise arm movement of a user. In case gesture that has been read is found among saved gestures, data is sent further. That results in intervention of information to computer, which works as an interface between a sensor and an actuator. If data was recognised successfully, it moves forward to collaborative robot. In dependence with received gesture it responds properly.
Keywords:Apilication, kinect, URL3 robot, user interface


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