Analiza razvoja autonomnih robota u proizvodnji

master's thesis

• Title (english): Analysis of the development of autonomous robots in manufacturing
• Author: Josip Štrkalj
• Mentor: Tomislav Stipančić (mentor)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2025-02-06, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mechanical Engineering; Production Mechanical Engineering

Abstract

U ovom diplomskom radu na temu „Analiza razvoja autonomnih robota u proizvodnji“, istražuje se bit autonomnih robota i njihova uloga u industriji uz naglasak na njihov razvoj i primjenu u različitim industrijskim procesima.
Autonomni roboti postaju ključni za postizanje veće učinkovitosti, preciznosti i smanjenja ljudske intervencije unutar industrije te omogućuju napredak u drugim sektorima proizvodnje. Kroz detaljniju analizu robotske strukture, ukazuje se na prednosti i izazove autonomnih robota nad klasičnim, tradicionalnim robotima. Nadalje se razmatra varijantnost rješenja i prilagodba robota različitim uvjetima industrijskih procesa. Implementacijom Dijkstra algoritma, prikazane su konkretne praktične primjene u optimizaciji kretanja robota.
Ovaj diplomski rad pokazuje kako autonomni roboti, uz primjenu modernih algoritama, uspješno savladavaju složene zadatke u dinamičkim okruženjima, pružajući temelje daljnjeg razvoja i primjene unutar industrije.

Abstract (english)

This Master’s Thesis titled “Analysis of the Development of Autonomous Robots in Manufacturing”, explores the essence of autonomous robots and their role in industry, with a focus on their development and application in various industrial processes.
Autonomous robots are becoming crucial for achieving higher efficiency, precision and reducing human intervention within the industry, thus enabling progress in other production sectors. Through a detailed analysis of robotic structures, the advantages and challenges of autonomous robots over conventional, traditional robots are highlighted. Furthermore, the variability of solutions and the adaptation of robots to different industrial process conditions are discussed. By implementing the Dijkstra algorithm, specific practical applications in optimizing robot movement are presented.
This thesis demonstrates how autonomous robots, with the application of modern algorithms, can successfully tackle complex tasks in dynamic environments, providing a foundation for further development and application within the industry.

• Keywords: autonomni roboti; razvoj robota; proizvodni procesi; Dijkstra algoritam; industrijski proces
• Keywords (english): autonomous robots; robot development; manufacturing processes; Dijkstra algorithm; industrial process
• Language: croatian
• URN:NBN: urn:nbn:hr:235:679688
• Study programme: Title: Mechanical Engineering; specializations in: Design, Process and Energy Engineering, Production Engineering, Engineering Modelling and Computer Simulation, Marine Engineering, Industrial Engineering and Management, Materials Engineering, Mechanics and Robotics, Autonomous Systems, Mechatronics and Robotics; Course: Autonomous Systems; Study programme type: university; Study level: graduate; Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka strojarstva (sveučilišni/a magistar/magistra inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2025-01-30 13:19:33