ICRA Yokohama | Session WeBT04.01 | Paper 4824 Archive
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Graphical Abstract
Conference Paper
Poster
Presentation
Slides
Graphical Abstract
Conference Paper
Poster
Presentation
Slides
Intelligent systems underpin advances in mine automation
Autonomous haul trucks alone had reduced operating cost by 13% in a billion dollar industry
Integrated control and decision making rely on probabilistic reasoning, ML, stochastic optimization where data is key
Robotics, adaptive sampling, new sensing modalities and cooperative frameworks provide an avenue for harvesting this data
Transition to low-carbon mining poses complex challenges that call for interdisciplinary perspectives and collaboration
Autonomous/robotic systems & other innovative solutions can help reduce the environmental footprint of mining
Download Paper (PDF) - The final version with updated figures and references
Raymond Leung, Andrew J. Hill and Arman Melkumyan. Automation and Artificial Intelligence technology in surface mining: state of the art, challenges and opportunities. IEEE International Conference on Robotics & Automation, Yokohama, 2024.
Download Poster (PDF) - 2.6MB
Short Version (MP4) - narrated by Andrew Hill (Duration: 3 mins, 34.7MB)
Longer Version (MP4) - (Duration: 11:16, ~130MB)