Underground Mines

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5 papers in the last four weeks, with none the four weeks before. 0.1% of all new papers.

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  1. Towards Spatial Perception for Heterogeneous Robot Collaboration in Subterranean Mining Environments

    Sep 29, 2026Mario Alberto Valdes Saucedo, Akash Patel, Christoforos Kanellakis +1Underground MinesCollaborative Perception

    Robotics and Artificial Intelligence Group, Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, 971 87 Luleå, Sweden

  2. An Automated Georeferencing Technique for Multi-Temporal Stope Point Clouds for Downstream Geotechnical Analysis

    Sep 24, 2026Dibyayan Patra, Simit Raval, Pasindu Ranasinghe +2Point Cloud RegistrationUnderground Mines

    School of Minerals and Energy Resources Engineering, University of New South Wales, Sydney, NSW, Australia. · School of Science, Engineering and Digital Technologies, University of Southern Queensland, Toowoomba, QLD, Australia.

  3. ZVeC: A Zero-Shot Framework for Instance-Level Vehicle Extraction and Generative Point Cloud Completion

    Sep 21, 2026Daisy Li, Kyle Gao, Quanyun Wu +3Light Detection And Ranging Point CloudsPoint Clouds

    University of Waterloo · Karlsruhe Institute of Technology

  4. RiverVLN: Phase-Grounded Temporal Vision--Language Navigation for Unmanned Surface Vehicles

    Sep 20, 2026Jieling Wu, Yuehao Huang, Jiajun Lv +3Vision-Language NavigationAerial Vision-Language Navigation

  5. Benchmarking Visual-Inertial Odometry in Subterranean Environments Under Sensor Degradation, Miscalibration, and Dynamic Occlusion

    Sep 16, 2026Yueying Zhu, Xiang Li, Thien-Minh Nguyen +2Visual Inertial OdometryUnderground Mines

    Nanyang Technological University, Singapore. · Dalian University of Technology, China. · Queensland University, Australia. +1

  6. UAV Thermal Imagery for Inert Ordnance Screening: Multi Campaign Dataset Development,Object Detection, and Practical Recommendations

    Sep 1, 2026Chad Melton, PhD., Annabelle KeltonAerial ImageryUnderground Mines

    Oak Ridge National Laboratory, Geospatial Science and Human Security Division, Oak Ridge, Tennessee, USA.

  7. A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation

    Jul 22, 2026Martín Gallegos, Francisco Leiva, Patricio Loncomilla +2Underground MinesPoint Clouds

    Advanced Mining Technology Center (AMTC) and Department of Electrical Engineering, Universidad de Chile, Tupper 2007, Santiago, Chile.

  8. Knowledge Graphs and Explainable AI as Complementary Resources for Urban Mining

    Jul 10, 2026Jan Gronewald, Andreas Emrich, Nijat MehdiyevXaiExplainable Artificial Intelligence

    German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany

  9. Unsupervised Detection of Underground Tunnels in Ground-Penetrating Radar Using Depth-Restricted Reconstruction Scoring

    Jul 6, 2026Muhammad Junaid, Shoab A. Khan, Nisar AhmedUnsupervised DetectionSubsurface Scattering

    Dept. of Electrical Engineering & Computer Science Sir Syed CASE Institute of Technology Islamabad, Pakistan · Dept. of Computer & Information Sciences University of Strathclyde Glasgow, UK

  10. RRT-Rope: A deterministic shortening approach for fast near-optimal path planning in large-scale uncluttered 3D environments

    Jun 30, 2026Louis Petit, Alexis Lussier DesbiensPath PlanningUnderground Mines

    Createk Design Lab, University of Sherbrooke, Sherbrooke, J1K 2R1, Canada

  11. Real-World Deployment of a 5G-Connected Edge-Controlled Aerial Robot in Industrial Subterranean Mines

    Jun 3, 2026Achilleas Santi Seisa, Emanuele Pagliari, Gerasimos Damigos +2Aerial RobotsCooperative Air Combat

  12. MineXplore: An Open-Source Reinforcement Learning Exploration Benchmark for GNSS-Denied Underground Environment

    Jun 3, 2026Abhishek S, Badrikanath Praharaj, Sreeram MVUnderground MinesRobot Navigation

    BuildMachineLabs

  13. From 3D Perception to Safety Reasoning: A Graph-Based Framework for Real-Time Underground Mine Monitoring

    Jun 2, 2026Pasindu Ranasinghe, Simit Raval, Dibyayan Patra +2Underground Mines3D Perception

    School of Minerals and Energy Resources Engineering, University of New South Wales, Sydney, NSW, Australia · School of Science, Engineering and Digital Technologies, University of Southern Queensland, Toowoomba, QLD, Australia.

  14. Towards Integrated Rock Support Visualisation in 3D Point Cloud of Underground Mines

    May 20, 2026Dibyayan Patra, Simit Raval, Pasindu Ranasinghe +2Underground MinesPoint Clouds

    School of Minerals and Energy Resources Engineering, University of New South Wales, Sydney, NSW, Australia. · School of Surveying and Built Environment, University of Southern Queensland, Toowoomba, QLD, Australia.

  15. SubTGraph: Large-Scale Subterranean Environment Synthesis with Controllable Topological Variability for Robotic Autonomy Validation

    May 20, 2026F. Labra Caso, A. Saradagi, S. Fredriksson +3Underground MinesAutonomous Driving Simulation

    Robotics & AI Luleå University of Technology

  16. Adaptive mine planning under geological uncertainty: A POMDP framework for sequential decision-making

    May 13, 2026Hamza Khalifi, Jef Caers, Yassine Taha +2Partially Observable Markov Decision ProcessMarkov Decision Processes

    Geology & Sustainable Mining Institute (GSMI), University Mohammed VI Polytechnic (UM6P), 43150, Benguerir, Morocco · Department of Earth and Planetary Sciences, Stanford University, Stanford, CA 94305, USA

  17. LAMES: A Large-Scale and Artisanal Mining Environmental Segmentation Dataset

    May 8, 2026Matthias Kahl, Zhaiyu Chen, Sudipan Saha +3Underground MinesEnvironment

    Technical University of Munich, Germany · Indian Institute of Technology, Delhi, India · Hanken School of Economics / Svenska handelshögskolan, Helsinki, Finland +1

  18. Position: the Stochastic Parrot in the Coal Mine. Model Collapse is a Threat to Low-Resource Communities

    May 5, 2026Devon Jarvis, Richard Klein, Benjamin Rosman +2Large Language Models FailCollapse

    School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa · Machine Intelligence and Neural Discovery Institute, University of the Witwatersrand, Johannesburg, South Africa · Data Science and AI, Computer Science and Engineering, Chalmers University of Technology and University of Gothenburg

  19. PermaFrost-Attack: Stealth Pretraining Seeding(SPS) for planting Logic Landmines During LLM Training

    Apr 23, 2026Harsh Kumar, Rahul Maity, Tanmay Joshi +4Attacker Large Language ModelPoisoning

    1Manipal University Jaipur · 2NIT, Karnataka · 3Pragya Lab, BITS Pilani Goa, India +2

  20. Graph Theoretical Outlier Rejection for 4D Radar Registration in Feature-Poor Environments

    Apr 16, 2026Georg Dorndorf, Daniel Adolfsson, Masrur Doostdar4D RadarPoint Cloud Registration

    xtonomy

  21. MineDraft: A Framework for Batch Parallel Speculative Decoding

    Feb 24, 2026Zhenwei Tang, Arun Verma, Zijian Zhou +4Speculative DecodingLLM Inference Optimization

    College of Computing and Data Science, Nanyang Technological University, Republic of Singapore · Singapore-MIT Alliance for Research and Technology Centre · Department of Computer Science, National University of Singapore, Republic of Singapore +1