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Novel sensors for underground robotics

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dc.contributor.author Green, JJ
dc.contributor.author Coetzee, S
dc.date.accessioned 2013-03-27T11:48:18Z
dc.date.available 2013-03-27T11:48:18Z
dc.date.issued 2012-08
dc.identifier.citation Green, JJ and Coetzee, S. 2012. Novel sensors for underground robotics. In: IEEE International Conference on Automation Science and Engineering (CASE 2012), Seoul, South Korea, 20-24 August 2012 en_US
dc.identifier.uri http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6386418&tag=1
dc.identifier.uri http://hdl.handle.net/10204/6637
dc.description IEEE International Conference on Automation Science and Engineering (CASE 2012), Seoul, South Korea, 20-24 August 2012. Published in IEEE Xplore en_US
dc.description.abstract The end state of an autonomous system in South Africa’s deep mines is a “fait accompli”. The current unacceptable safety records, and the increasing dangers as the mines get deeper, necessitate the removal of miners from the dangerous stope areas. Robotics seems an obvious solution. An autonomous robotic system to inspect the mine ceiling (hanging wall) is being developed at the Center for Mining Innovation as an initial robotic application for South African deep gold mines. A number of the key technologies needed to enable this are discussed. The localization system, the underground alternative to the GPS, is perhaps the single biggest hurdle needed in enabling underground robotics. A low cost, disposable solution for the small area gold stope (30m x 3m) is presented. Machine sensing of both the environment and of humans is critical in a shared working environment. Here we discuss alternatives to the current sensors used above ground for machine perception. In the deep gold mines the geothermal heat result in hot walls and thermal imaging becomes an option for structural imaging. The combination of temperature with a 3D data enables the determination of a risk measure, indicating potential danger areas. Potential methods of representing the risk data for the miner to interpret are discussed. Finally, the thermal camera in conjunction with a distance sensor is used to identify and track pedestrians in order to predict potential collisions. en_US
dc.language.iso en en_US
dc.publisher IEEE Xplore en_US
dc.relation.ispartofseries Workflow;10426
dc.subject Underground robotics en_US
dc.subject Autonomous robotic system en_US
dc.subject Machine sensing en_US
dc.subject Structural imaging en_US
dc.subject Load haul dump trucks (LHD) en_US
dc.subject Sandvik Automine system en_US
dc.subject Atlas Copco en_US
dc.title Novel sensors for underground robotics en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Green, J., & Coetzee, S. (2012). Novel sensors for underground robotics. IEEE Xplore. http://hdl.handle.net/10204/6637 en_ZA
dc.identifier.chicagocitation Green, JJ, and S Coetzee. "Novel sensors for underground robotics." (2012): http://hdl.handle.net/10204/6637 en_ZA
dc.identifier.vancouvercitation Green J, Coetzee S, Novel sensors for underground robotics; IEEE Xplore; 2012. http://hdl.handle.net/10204/6637 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Green, JJ AU - Coetzee, S AB - The end state of an autonomous system in South Africa’s deep mines is a “fait accompli”. The current unacceptable safety records, and the increasing dangers as the mines get deeper, necessitate the removal of miners from the dangerous stope areas. Robotics seems an obvious solution. An autonomous robotic system to inspect the mine ceiling (hanging wall) is being developed at the Center for Mining Innovation as an initial robotic application for South African deep gold mines. A number of the key technologies needed to enable this are discussed. The localization system, the underground alternative to the GPS, is perhaps the single biggest hurdle needed in enabling underground robotics. A low cost, disposable solution for the small area gold stope (30m x 3m) is presented. Machine sensing of both the environment and of humans is critical in a shared working environment. Here we discuss alternatives to the current sensors used above ground for machine perception. In the deep gold mines the geothermal heat result in hot walls and thermal imaging becomes an option for structural imaging. The combination of temperature with a 3D data enables the determination of a risk measure, indicating potential danger areas. Potential methods of representing the risk data for the miner to interpret are discussed. Finally, the thermal camera in conjunction with a distance sensor is used to identify and track pedestrians in order to predict potential collisions. DA - 2012-08 DB - ResearchSpace DP - CSIR KW - Underground robotics KW - Autonomous robotic system KW - Machine sensing KW - Structural imaging KW - Load haul dump trucks (LHD) KW - Sandvik Automine system KW - Atlas Copco LK - https://researchspace.csir.co.za PY - 2012 T1 - Novel sensors for underground robotics TI - Novel sensors for underground robotics UR - http://hdl.handle.net/10204/6637 ER - en_ZA


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