Robotics research in Chile

The development of research in robotics in a developing country is a challenging task. Factors such as low research funds, low trust from local companies and the government, and a small number of qualified researchers hinder the development of strong, local research groups. In this article, and as a case of study, we present our research group in robotics at the Advanced Mining Technology Center of the Universidad de Chile, and the way in which we have addressed these challenges. In 2008, we decided to focus our research efforts in mining, which is the main industry in Chile. We observed that this industry has needs in terms of safety, productivity, operational continuity, and environmental care. All these needs could be addressed with robotics and automation technology. In a first stage, we concentrate ourselves in building capabilities in field robotics, starting with the automation of a commercial vehicle. An important outcome of this project was the earn of the local mining industry confidence. Then, in a second stage started in 2012, we began working with the local mining industry in technological projects. In this article, we describe three of the technological projects that we have developed with industry support: (i) an autonomous vehicle for mining environments without global positioning system coverage; (ii) the inspection of the irrigation flow in heap leach piles using unmanned aerial vehicles and thermal cameras; and (iii) an enhanced vision system for vehicle teleoperation in adverse climatic conditions.

[1]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[2]  Morgan Quigley,et al.  ROS: an open-source Robot Operating System , 2009, ICRA 2009.

[3]  Alberto Broggi,et al.  The TerraMax autonomous vehicle , 2006, J. Field Robotics.

[4]  Javier Ruiz-del-Solar,et al.  Adaptive and real-time unpaved road segmentation using color histograms and RANSAC , 2011, 2011 9th IEEE International Conference on Control and Automation (ICCA).

[5]  Regis Hoffman,et al.  Terrain Roughness Measurement from Elevation Maps , 1990, Other Conferences.

[6]  Sebastian Thrun,et al.  Stanley: The robot that won the DARPA Grand Challenge , 2006, J. Field Robotics.

[7]  Richard Thiel,et al.  State of the practice review of heap leach pad design issues , 2004 .

[8]  Carl D. Crane,et al.  Team CIMAR's NaviGator: An unmanned ground vehicle for the 2005 DARPA grand challenge , 2006, J. Field Robotics.

[9]  R. E. Kalman,et al.  New Results in Linear Filtering and Prediction Theory , 1961 .

[10]  Javier Ruiz-del-Solar,et al.  Semantic Mapping of Large-Scale Outdoor Scenes for Autonomous Off-Road Driving , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

[11]  Edsger W. Dijkstra,et al.  A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

[12]  Thomas J. Watson,et al.  An empirical study of the naive Bayes classifier , 2001 .

[13]  Javier Ruiz-del-Solar,et al.  A Kalman-filtering-based Approach for Improving Terrain Mapping in off-road Autonomous Vehicles , 2015, J. Intell. Robotic Syst..

[14]  A. Lane,et al.  Tough choices facing the South African mining industry , 2015 .

[15]  Fiona Solomon,et al.  Social dimensions of mining: Research, policy and practice challenges for the minerals industry in Australia , 2008 .

[16]  Ian K. Craig,et al.  Modeling of an Autonomous Underground Mine Vehicle , 2004 .

[17]  Javier Ruiz-del-Solar,et al.  Design and validation of a fuzzy longitudinal controller based on a vehicle dynamic simulator , 2011, 2011 9th IEEE International Conference on Control and Automation (ICCA).