Evaluation of robot technologies for deep level mining applications

dc.contributor.authorLouw, S. E.en_ZA
dc.contributor.authorOosthuizen, G. A.en
dc.contributor.authorAl Shaalane, A.en
dc.identifier.citationLouw, S. E., Oosthuizen, G. A. & Al Shaalane, A. 2011. Evaluation of robot technologies for deep level mining applications. Presented at the ISEM 2011 Proceedings, September 21-23, Stellenbosch University, Stellenbosch, South Africa.en_ZA
dc.descriptionThe original publication is available at
dc.descriptionConference of the ISEM 2011 Proceedings, Stellenbosch, South Africa, 21 - 23 September 2011.en_ZA
dc.descriptionConference theme - Innovative Systems Thinking: Unravelling Complexity for Successful Solutions.en_ZA
dc.description.abstractMining starts with the extraction of effortless resources, but quickly progresses to more complex situations. As the mining depth increase the technical challenges and difficulty to retrieve resources rises. The future deep-level mining environment is considered too immense a risk for human labour. Therefore, robot technology is considered as an alternative. This imposes the need to develop and improve current mining technology and equipment. This study evaluates robot technologies for deep level mining applications. Firstly, the constraints of robots associated in deep-level mining environments are identified. Thereafter, various existing robot technologies are analyzed to categorize functional attributes of each robot. These were assessed with regard to the constraints, establishing a basis for selection of a feasible robot technology platform. Recommendations are made on how to improve the existing robot technology to compensate for specific conditions. It is concluded that it is vital to improve existing robot technologies in order to mine at deeper levels. In collaboration with technology- and mining companies a mechanized mining concept was developed from these evaluations.en_ZA
dc.description.sponsorshipThe Industrial, Systems and Engineering Management (ISEM) conference is a joint initiative between the Southern African Institute for Industrial Engineering (SAIIE), INCOSE (South Africa) and the Graduate School for Technology Management at the University of Pretoriaen
dc.publisherStellenbosch : Stellenbosch University, Department of Industrial Engineeringen
dc.subjectMining equipmenten
dc.subjectMining resourcesen
dc.subjectMine workersen
dc.subjectMining environmenten_ZA
dc.titleEvaluation of robot technologies for deep level mining applicationsen_ZA
dc.typeConference Paperen_ZA
dc.description.versionPublishers' Versionen
dc.rights.holderAuthors retain copyrighten

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