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Programming a robot arm using teaching method by using machine vision and sensor technology
University West, Department of Engineering Science.
2022 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The use of robot has a major part in all kinds of industry (food, textile, automobile, agriculture, space and so on). With the increase of robot in industry, robot programming is also becoming more and more important, and more complex, therefor not accessible to anyone. The common way to program robot is by using programming languages, to communicate with the robot and its different element, and simulation, to observe the robot behaviour in a simulated environment before using a tangible one. Programming languages can be tedious, especially robot programming, which means that it can only be done by someone with the proper knowledge and education, making robot programming almost impossible to understand for non-robot programmers. To tackle this issue, a simpler programming method has been implemented during this thesis work, by combining machine vision and sensor technology. The idea is to track, using machine vision movement of a human arm, and use sensors, in this case a gyroscope, to register the orientation of the arm. The conclusion of this work shows us that the method investigated and developed, could allow a user, to manipulate an industrial robot, without knowing anything about robot or robot programming. Although, this method can be enhanced, by recording the movement done by the user, so that it can reproduce it for different work, by using an accelerometer tomove the robot at the same speed as the human hand. 

Place, publisher, year, edition, pages
2022. , p. 30
Keywords [en]
Robotics, industrial robot, machine vision, sensor
National Category
Robotics
Identifiers
URN: urn:nbn:se:hv:diva-19139Local ID: EXC915OAI: oai:DiVA.org:hv-19139DiVA, id: diva2:1695622
Subject / course
Robotics
Educational program
Master i robotik och automation
Supervisors
Examiners
Available from: 2022-09-23 Created: 2022-09-14 Last updated: 2022-09-23Bibliographically approved

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