Advanced Applications of Industrial Robotics: New Trends and Possibilities

Dzedzickis, Andrius; Subačiūtė-Žemaitienė, Jurga; Šutinys, Ernestas; Samukaitė-Bubnienė, Urtė; Bučinskas, Vytautas

doi:10.3390/app12010135

Cited by 94 publications

(39 citation statements)

References 106 publications

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“…The angle is positive on the left side of the center of each axis and negative on the right side. The depth (Y) to the object can be obtained from the relationship of triangles using (11).…”

Section: D Distance Measurementmentioning

confidence: 99%

Autonomous Movement Control of Coaxial Mobile Robot based on Aspect Ratio of Human Face for Public Relation Activity Using Stereo Thermal Camera

Rusydi

Novira

Nakagome

et al. 2022

Journal of Robotics and Control

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In recent years, robots that recognize people around them and provide guidance, information, and monitoring have been attracting attention. The mainstream of conventional human recognition technology is the method using a camera or laser range finder. However, it is difficult to recognize with a camera due to fluctuations in lighting 1), and it is often affected by the recognition environment such as misrecognition 2) with a person's leg and a chair's leg with a laser range finder. Therefore, we propose a human recognition method using a thermal camera that can visualize human heat. This study aims to realize human-following autonomous movement based on human recognition. In addition, the distance from the robot to the person is measured with a stereo thermal camera that uses two thermal cameras. A coaxial two-wheeled robot that is compact and capable of super-credit turning is used as a mobile robot. Finally, we conduct an autonomous movement experiment of a coaxial mobile robot based on human recognition by combining these. We performed human-following experiments on a coaxial two-wheeled robot based on human recognition using a stereo thermal camera and confirmed that it moves appropriately to the location where the recognized person is in multiple use cases (scenarios). However, the accuracy of distance measurement by stereo vision is inferior to that of laser measurement. It is necessary to improve it in the case of movement that requires more accuracy.

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Section: D Distance Measurementmentioning

confidence: 99%

Autonomous Movement Control of Coaxial Mobile Robot based on Aspect Ratio of Human Face for Public Relation Activity Using Stereo Thermal Camera

Rusydi

Novira

Nakagome

et al. 2022

Journal of Robotics and Control

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“…All these techniques are popular for moving the robot from one point to another while avoiding a collision. These techniques are inspired by the ability of the human brain to perform certain tasks [46].…”

Section: Dynamic Traffic Robotics Controlmentioning

confidence: 99%

Robotics architectures based machine learning and deep learning approaches

Alatabani¹,

Ali²,

Mokhtar³

et al. 2022

IET Conf. Proc.

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Robotics has been playing a vital role in our daily lives with a wide range of applications to improve the quality of life. With a variety of usable applications in the medical, manufacturing, and transportation industries, there is a continuous need for improving the performance of robotics for the importance of precision in executing commands and tasks. The implementation of precise commands has led to intense research on approaches to improve the performance of robotics. Machine Learning (ML) and Deep Learning (DL) have been drawing attention to applying architectures and algorithms to robotics which imposed a positive impact on the field of robotics. ML and DL applications in robotics include areas of computer vision, imitation learning, self-supervised learning, assistive and medical technologies, multi-agent learning, and manufacturing. This paper provides a comprehensive review of autonomous vs automatic robotics, robotic applications, extreme learning machine methods, and ML for soft robotics applications, in addition, to discussing the challenges, and future trends for AI applications in robotics applications.

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“…For more information on robotics, cf. Dzedzickis, Subačiūtė-Žemaitienė, Šutinys, Samukaitė-Bubnienė, and Bučinskas (2022), as well as Sirlantzis, Larsen, Kanumuru, and Oprea (2019). 7…”

Section: Introductionmentioning

confidence: 99%

Global Initiatives within the 4IR, and the Role of Higher Education

Shaikh¹

2022

Global Initiatives and Higher Education in the Fourth Industrial Revolution

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As has already been mentioned in the General Introduction, the title of this book is Global Initiatives and Higher Education in the Fourth Industrial Revolution. The way in which the book approaches this title, is to first discuss the different economic initiatives – focused on manufacturing – developed by specific countries to meet the 4IR (Fourth Industrial Revolution) and to critically look at the role of HE (higher education) within these initiatives. One could argue that HE should be key in this new era, as it powerfully shapes the lives of specifically the younger segment of our people with reference to their aspirations, their beliefs, and their identities, focusing on their skills and future livelihoods (Saito 2019:197). The 4IR naturally forms part of these discussions. Specific attention is also given to Africa and the role that this continent should play with regards to HE and/in the 4IR (cf. Marwala 2020), as seen in chapters 4, 5, 7, and 9.

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Advanced Applications of Industrial Robotics: New Trends and Possibilities

Cited by 94 publications

References 106 publications

Autonomous Movement Control of Coaxial Mobile Robot based on Aspect Ratio of Human Face for Public Relation Activity Using Stereo Thermal Camera

Autonomous Movement Control of Coaxial Mobile Robot based on Aspect Ratio of Human Face for Public Relation Activity Using Stereo Thermal Camera

Robotics architectures based machine learning and deep learning approaches

Global Initiatives within the 4IR, and the Role of Higher Education

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