Applications of networked virtual reality for tele-operation and tele-assistance systems in the mining industry

Bednarz, Tomasz; James, Craig A.; Caris, Con; Haustein, Kerstin; Adcock, Matt; Gunn, Chris

doi:10.1145/2087756.2087845

Cited by 8 publications

(3 citation statements)

References 14 publications

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“…Healthcare [1][2][3][4][5][6][7][8][9][10]61,101] Industry [13][14][15][16][17][18][19][20][21]30,31,36,38,40,41,92,108,112] Education [11,12,26,29,34,39,47,53,95,96,99,110,111,121,125] Assembly Task [28,35,37,42,[48][49][50]…”

Section: Applications Article Referencementioning

confidence: 99%

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A Review on Methods and Systems for Remote Collaboration

et al. 2021

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Due to the appearance of COVID-19 in 2019, person-to-person interactions were drastically reduced. The impact of these restrictions on the economic environment was significant. For example, technical assistance for commissioning or adjusting the parameters of some complex machines/installations had to be postponed. Economic operators became interested in the possibility of remote collaboration, depending on the manufactured products and the performance of the production lines that they owned. This bibliographic research was undertaken to address these needs. The purpose of this review was to analyze the current solutions, approaches, and technologies that workers and specialists can implement to obtain a reliable remote collaboration system. This survey focuses on techniques, devices, and tools that are being used in different contexts to provide remote guidance. We present communication cues and methods being employed, the implemented technological support, and the areas that benefit from remote collaboration. We hope that our effort will be useful to those who develop such systems and people who want to learn about the existence of collaborative solutions, and that it will increase awareness about the applications and the importance of the domain. We are convinced that, with the development of communication systems, the advancement of remote support systems will be a goal for many economic operators.

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Section: Applications Article Referencementioning

confidence: 99%

“…These remote assistance situations can be found in the medical field, such as surgery [1-9] and emergency management [10], in the education sector [11,12], mining [13], food industries [14,15], manufacturing industries [16][17][18][19][20][21], and crime scene investigations [22].…”

Section: Introductionmentioning

confidence: 99%

A Review on Methods and Systems for Remote Collaboration

et al. 2021

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“…During the last few decades, robots have been used with success in various domains ranging from manufacturing (Merzouki et al, 2010), space exploration (Ambrose et al, 2010), and surgery (McMahan et al, 2011) to mining (Bednarz et al, 2011) and military assistance (Wooden et al, 2010). Developing robotic software is difficult and time-consuming, especially when the same functionality must be developed separately for robots with different physical dimensions, hardware control protocols, mechanical configurations, or actuators and sensors.…”

Section: Introductionmentioning

confidence: 99%

A Cross-Platform Tactile Capabilities Interface for Humanoid Robots

Dahl

2016

Front. Robot. AI

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This article presents the core elements of a cross-platform tactile capabilities interface (TCI) for humanoid arms. The aim of the interface is to reduce the cost of developing humanoid robot capabilities by supporting reuse through cross-platform deployment. The article presents a comparative analysis of existing robot middleware frameworks as well as the technical details of the TCI framework that builds on the existing YARP platform. Currently, the TCI framework includes robot arm actuators with robot skin sensors. It presents such hardware in a platform-independent manner, making it possible to write robot control software that can be executed on different robots through the TCI frameworks. The TCI framework supports multiple humanoid platforms, and this article also presents a case study of a cross-platform implementation of a set of tactile protective withdrawal reflexes that have been realized on both the NAO and iCub humanoid robot platforms using the same high-level source code.

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