Autonomous underground tramming for center‐articulated vehicles

This paper describes the design, implementation, and field testing of an infrastructureless system for autonomous tramming (or hauling) of a center‐articulated underground mining vehicle. Such vehicles are ubiquitous in underground mining, and effective automation of their tramming function has been a sought‐after technology for more than a decade. This paper reports on the successful development of a fast, reliable, and robust “autotramming” technology that does not require the installation of fixed infrastructure. Included are descriptions of the chosen control architecture, map‐based localization technique, and the results of integration and field testing. © 2008 Wiley Periodicals, Inc.

[1]  Hans P. Moravec,et al.  High resolution maps from wide angle sonar , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.

[2]  Hassan K. Khalil,et al.  Singular perturbation methods in control : analysis and design , 1986 .

[3]  Kalevi Hyyppä,et al.  AGV navigation by angle measurements , 1988 .

[4]  J.P.H. Steele,et al.  Control and scale model simulation of sensor-guided LHD mining machines , 1991, Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting.

[5]  Bruce A. Francis,et al.  Feedback Control Theory , 1992 .

[6]  David Kortenkamp,et al.  Using Gateways To Build A Route Map , 1992, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  W. Whittaker,et al.  Position estimator for underground mine equipment , 1992 .

[8]  S. Julier,et al.  A General Method for Approximating Nonlinear Transformations of Probability Distributions , 1996 .

[9]  Jean-Yves Hervé,et al.  Recognition of intersections in corridor environments , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[10]  A. Hemami,et al.  Problem formulation for path tracking automation of low speed articulated vehicles , 1996, Proceeding of the 1996 IEEE International Conference on Control Applications IEEE International Conference on Control Applications held together with IEEE International Symposium on Intelligent Contro.

[11]  Hugh F. Durrant-Whyte,et al.  Slip modelling and aided inertial navigation of an LHD , 1997, Proceedings of International Conference on Robotics and Automation.

[12]  R. M. DeSantis Modeling and path-tracking for a load-haul-dump mining vehicle , 1997 .

[13]  Hugh F. Durrant-Whyte,et al.  Autonomous underground navigation of an LHD using a combined ICP-EKF approach , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[14]  Fei-Yue Wang,et al.  Autonomous Rock Excavation - Intelligent Control Techniques and Experimentation , 1998, Series in Intelligent Control and Intelligent Automation.

[15]  Hugh F. Durrant-Whyte,et al.  An experiment in autonomous navigation of an underground mining vehicle , 1999, IEEE Trans. Robotics Autom..

[16]  Claudio Altafini,et al.  A Path-Tracking Criterion for an LHD Articulated Vehicle , 1999, Int. J. Robotics Res..

[17]  Peter I. Corke,et al.  Autonomous control of underground mining vehicles using reactive navigation , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[18]  V. Polotski New reference point for guiding an articulated vehicle , 2000, Proceedings of the 2000. IEEE International Conference on Control Applications. Conference Proceedings (Cat. No.00CH37162).

[19]  Rudolph van der Merwe,et al.  The unscented Kalman filter for nonlinear estimation , 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).

[20]  Hannu Mäkelä Overview of LHD navigation without artificial beacons , 2001, Robotics Auton. Syst..

[21]  Peter Corke,et al.  Autonomous Control of an Underground Mining Vehicle Dr , 2001 .

[22]  Wolfram Burgard,et al.  Robust Monte Carlo localization for mobile robots , 2001, Artif. Intell..

[23]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[24]  Peter I. Corke,et al.  Reactive navigation and opportunistic localization for autonomous underground mining vehicles , 2002, Inf. Sci..

[25]  Andrew Howard,et al.  Multi-robot mapping using manifold representations , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[26]  Michael Bosse,et al.  Simultaneous Localization and Map Building in Large-Scale Cyclic Environments Using the Atlas Framework , 2004, Int. J. Robotics Res..

[27]  David Silver,et al.  Feature extraction for topological mine maps , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[28]  V. Polotski,et al.  Autonomous system for exploration and navigation in drift networks , 2004, IEEE Intelligent Vehicles Symposium, 2004.

[29]  Alessandro Saffiotti,et al.  A Navigation System for Automated Loaders in Underground Mines , 2005, FSR.

[30]  Kato Shin,et al.  Vehicle Guidance System by Outside Sensing , 2006 .

[31]  Joshua A. Marshall,et al.  Design and Field Testing of an Autonomous Underground Tramming System , 2007, FSR.

[32]  Vladimir Polotski,et al.  Autonomous system for navigation and surveying in underground mines , 2007, J. Field Robotics.

[33]  Tom Duckett,et al.  Scan registration for autonomous mining vehicles using 3D‐NDT , 2007, J. Field Robotics.