Positioning Error Correction of Autonomusly Movable Robot Arm

Vaher, Kristo; Otto, Tauno; Riives, Jüri

doi:10.36897/jme/129013

Cited by 3 publications

(4 citation statements)

References 10 publications

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“…In the manufacturing sector, Lee et al [133] presented an automatic loading/unloading system based on visual inspection. Another application of machine vision in the manufacturing sector is reported in [109]; the proposed system was based on a Cognex camera mounted on a Universal Robot (UR) robotic arm, managing to distinguish the arm from the rest of the robot's body. Despite its poor precise positioning conditions, the developed system managed to significantly support multiple industrial processes at the Industry 4.0 testbed.…”

Section: Practical Applicationsmentioning

confidence: 99%

Machine Vision—Moving from Industry 4.0 to Industry 5.0

Tzampazaki,

Zografos,

Vrochidou

et al. 2024

Applied Sciences

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The Fourth Industrial Revolution combined with the advent of artificial intelligence brought significant changes to humans’ daily lives. Extended research in the field has aided in both documenting and presenting these changes, giving a more general picture of this new era. This work reviews the application field of the scientific research literature on the presence of machine vision in the Fourth Industrial Revolution and the changes it brought to each sector to which it contributed, determining the exact extent of its influence. Accordingly, an attempt is made to present an overview of its use in the Fifth Industrial Revolution to identify and present the changes between the two consequent periods. This work uses the PRISMA methodology and follows the form of a Scoping Review using sources from Scopus and Google Scholar. Most publications reveal the emergence of machine vision in almost every field of human life with significant influence and performance results. Undoubtedly, this review highlights the great influence and offer of machine vision in many sectors, establishing its use and searching for more ways to use it. It is also proven that machine vision systems can help industries to gain competitive advantage in terms of better product quality, higher customer satisfaction, and improved productivity.

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Section: Practical Applicationsmentioning

confidence: 99%

Machine Vision—Moving from Industry 4.0 to Industry 5.0

Tzampazaki,

Zografos,

Vrochidou

et al. 2024

Applied Sciences

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“…One of the possibilities to autonomously move a robotic arm among several machines is to use the Autonomous Mobile Robot (AMR) platform and mount a robot arm on the AMR. Calibration of the robot armʼs position relative to the workstation was solved in our previous article [4].…”

Section: Introductionmentioning

confidence: 99%

“…Relevant literature has analysed the need for mobility generated by industrial robots [8,4] and identified possible solutions for it. The solutions for moving a robot manually by a human or automatically by a mobile robot were evaluated in [8].…”

Section: Introductionmentioning

confidence: 99%

“…The solutions for moving a robot manually by a human or automatically by a mobile robot were evaluated in [8]. The automatic positioning accuracy of the robot arm moved by the mobile robot was analysed using machine vision [4]. Interesting approach was suggested [9] for replacement of manual work by hybrid production by means of autonomous dual arm robots, enhancing operatorʼs working conditions and maintaining the same production levels.…”

Section: Introductionmentioning

confidence: 99%

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Simulation based feasibility analysis of autonomously movable robot arm

Mahmood¹,

Otto²,

Riives³

et al. 2021

PEAS

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Simulation based Feasibility Analysis of Autonomously Movable Robot Arm

Vaher

Mahmood

Otto

et al. 2021

IOP Conf. Ser.: Mater. Sci. Eng.

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The use of industrial robots in production is rapidly growing. However, the vast use of industrial robots and implementation of new manufacturing technologies are mostly adopted by large industrial companies. It is due to the nature of the production volume, as robots have a lot of the same kind of work in one specific position in the production process. In smaller companies, where the robots often do not have enough workload in a single specific workplace, the process of robotization has not been so successful. SME-s need a solution where the robot can be moved from one workplace to another in order to utilize the resources like robot arm efficiently. This paper aims to analyse the feasibility for the usage of a robotic arm (a collaborative robot) to serve more than a single production cell intermittently. Production machines are located at particular distance and the movement of the robotic arm between the machines is carried out autonomously with the help of an autonomous mobile robot. Moreover, simulation and 3D visualization were used to conduct and analyse the two different scenarios. Utilization of production equipment assigns as a key performance indicator of the comparison.

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Positioning Error Correction of Autonomusly Movable Robot Arm

Cited by 3 publications

References 10 publications

Machine Vision—Moving from Industry 4.0 to Industry 5.0

Machine Vision—Moving from Industry 4.0 to Industry 5.0

Simulation based feasibility analysis of autonomously movable robot arm

Simulation based Feasibility Analysis of Autonomously Movable Robot Arm

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