Principal researchers: Martin Adams, Manuel Duarte, Claudio Pérez, Javier Ruiz del Solar.
Academic Associate Researchers: Pablo Estévez, Marcos Orchard.
Associate researchers: Carlos Aravena, Mauricio Correa, Patricio Loncomilla, Mauricio Mascaró, Isao Parra, Carlos Tampier, Paul Vallejos.
Postdoctorates: Norelys Águila, Javier Correa, Francisco Galdames, Bruno Grossi, Keith Leung, Freddy Milla.
Ph.D students: Carlos Celemín, Daniel Herrmann, Felipe Inostroza, Francisco Jaramillo, Leonardo Leottau, Luz Martínez, Ghayur Naqvi, Carlos Navarro, David Nova, Wilma Pairo, Juan Pablo Pérez, Loreto Sánchez, Daniel Schulz, Claudio Tapia, Juan Tapia, Sebastián Ulloa, Jorge Vergara, José Miguel Yáñez.
MSc. students: Pablo Cano, Javier Gallegos, Enrique Guerrero, Matías Mattamala, Pedro Orellana, David Valenzuela.
Using tolos of digital images and data processing, developing of new methods and technologies of pattern recognition in mining-associated problems, and an adequate use of automation technologies in the mining industry allow to boost productivity, lower costs, increase operative continuity and to improve health and safety in the workplace. They also make possible pattern, objects, defects and fails identification, to measure quality and to identify people. The remarkable effects automation in mining have on productivity increase and costs reduction would not be possible without the necessary energy resources. The energy demand in mining processes and minerals production is increasing, which will demand mining companies to have a powerful, efficient energy grid, aimed towards improving the stages of such processes.
The group’s main goal is to transfer to the mining productive sector results of research and development carried on during recent years in the fields of automation, robotics, semiconductors & sensing technologies, pattern recognition, image processing and data & sensors networks, and to contribute to the next generation of mining systems through design and build of of smart, environmental-friendly equipment and systems.
The group covers the areas of teleoperation and automation of vehicles and mobile mining machinery; failure diagnosis and predictive maintenance of equipment; development of technologies that allow mapping and 3D modelling of tunnels, pits and mining environments; development of collaborative systems in which autonomous machines, tele-operated machines and humans interact in an efficient, safe way.
The group also develops advanced techniques of pattern recognition and image analysis that allow to deal with relevant problems of mining, such as people and objects identification, failure detection, quality control, automated surveillance, recognition of types of rocks in two and three dimensions, and granulometry determination.
Lastly, we develop and transfer generation technologies based on clean, renewable energies, and we also make efforts to improve the energy efficiency in several stages of the mining process, using advanced control techniques and computer intelligence.
Application areas are diverse, the main ones are: