All Issue

2025 Vol.35, Issue 3 Preview Page

Original Article

30 June 2025. pp. 247-267
Abstract
References
1

Alatise, M.B. and Hancke, G.P., 2020, A review on challenges of autonomous mobile robot and sensor fusion methods, IEEE Access, 8, 39830-39846.

10.1109/ACCESS.2020.2975643
2

Baker, C., Morris, A., Ferguson, D., Thayer, S., Whittaker, C., Omohundro, Z., Reverte, C., Whittaker, W., Hahnel, D., and Thrun, S., 2004, A campaign in autonomous mine mapping, In IEEE International Conference on Robotics and Automation, Proceedings. ICRA'04, 2, 2004-2009.

10.1109/ROBOT.2004.1308118
3

Bharathi, B. and Samuel, B.S., 2013, Design and construction of rescue robot and pipeline inspection using Zigbee, International Journal of Scientific Engineering and Research, 1(1), 75-78.

10.70729/2130919
4

Chen, C., Jin, A., Wang, Z., Zheng, Y., Yang, B., Zhou, J., Xu, Y., and Tu, Z., 2023, SGSR-Net: structure semantics guided LiDAR super-resolution network for indoor LiDAR SLAM, IEEE Transactions on Multimedia, 26, 1842-1854.

10.1109/TMM.2023.3289752
5

Chi, H., Zhan, K., and Shi, B., 2012, Automatic guidance of underground mining vehicles using laser sensors, Tunnelling and Underground Space Technology, 27(1), 142-148.

10.1016/j.tust.2011.08.007
6

Cui, Y., Liu, S., Li, H., Gu, C., Jiang, H., and Meng, D., 2023, Accurate integrated position measurement system for mobile applications in GPS-denied coal mine, ISA Transactions, 139, 621-634.

10.1016/j.isatra.2023.04.01437142491
7

Dellenbach, P., Deschaud, J.E., Jacquet, B., and Goulette, F., 2022, Ct-icp: Real-time elastic LiDAR odometry with loop closure, In 2022 International Conference on Robotics and Automation (ICRA), 5580-5586.

10.1109/ICRA46639.2022.9811849
8

Filipenko, M. and Afanasyev, I., 2018, Comparison of various SLAM systems for mobile robot in an indoor environment, In 2018 International Conference on Intelligent Systems (IS), 400-407.

10.1109/IS.2018.8710464
9

Fox, D., Burgard, W., and Thrun, S., 1997, The dynamic window approach to collision avoidance, IEEE Robotics & Automation Magazine, 4(1), 23-33.

10.1109/100.580977
10

Fragapane, G., De Koster, R., Sgarbossa, F., and Strandhagen, J.O., 2021, Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda, European Journal of Operational Research, 294(2), 405-426.

10.1016/j.ejor.2021.01.019
11

Ghosh, D., Samanta, B., and Chakravarty, D., 2017, Multi sensor data fusion for 6D pose estimation and 3D underground mine mapping using autonomous mobile robot, International Journal of Image and Data Fusion, 8(2), 173-187.

10.1080/19479832.2016.1226966
12

Grisetti, G., Stachniss, C., and Burgard, W., 2007, Improved techniques for grid mapping with Rao-Blackwellized particle filters, IEEE Transactions on Robotics, 23(1), 34-46.

10.1109/TRO.2006.889486
13

Ha, Q.P., Yen, L., and Balaguer, C., 2019, Robotic autonomous systems for earthmoving in military applications, Automation in Construction, 107, 102934.

10.1016/j.autcon.2019.102934
14

Han, J., Wang, F., and Wang, Y., 2022, A control method for the differential steering of tracked vehicles driven independently by a dual hydraulic motor, Applied Sciences, 12(13), 6355.

10.3390/app12136355
15

Hart, P.E., Nilsson, N.J., and Raphael, B., 1968, A formal basis for the heuristic determination of minimum cost paths, IEEE Transactions on Systems Science and Cybernetics, 4(2), 100-107.

10.1109/TSSC.1968.300136
16

Hu, K. and Cheng, K., 2021, Dynamic modelling and stability analysis of the articulated tracked vehicle considering transient track-terrain interaction, Journal of Mechanical Science and Technology, 35, 1343-1356.

10.1007/s12206-021-0301-1
17

Jacobson, A., Zeng, F., Smith, D., Boswell, N., Peynot, T., and Milford, M., 2018, Semi-supervised SLAM: Leveraging low-cost sensors on underground autonomous vehicles for position tracking, In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3970-3977.

10.1109/IROS.2018.8593750
18

Johns, R.L., Wermelinger, M., Mascaro, R., Jud, D., Gramazio, F., Kohler, M., Chil, M., and Hutter, M., 2020, Autonomous dry stone: On-site planning and assembly of stone walls with a robotic excavator, Construction Robotics, 4, 127-140.

10.1007/s41693-020-00037-6
19

Kanayama, Y., Kimura, Y., Miyazaki, F., and Noguchi, T., 1990, A stable tracking control method for an autonomous mobile robot, In Proceedings of the IEEE International Conference on Robotics and Automation, 1, 384-389.

10.1109/ROBOT.1990.126006
20

Kim, H. and Choi, Y., 2021a, Location estimation of autonomous driving robot and 3D tunnel mapping in underground mines using pattern matched LiDAR sequential images, International Journal of Mining Science and Technology, 31(5), 779-788.

10.1016/j.ijmst.2021.07.007
21

Kim, H. and Choi, Y., 2021b, Self-driving algorithm and location estimation method for small environmental monitoring robot in underground mines, Computer Modeling in Engineering & Sciences, 127(3), 943-964.

10.32604/cmes.2021.015300
22

Kim, H. and Choi, Y., 2022, Development of a ROS-based autonomous driving robot for underground mines and its waypoint navigation experiments, Tunnel and Underground Space, 32(3), 231-242.

23

Kumar, A., Kingson, T.M.G., Verma, R.P., Kumar, R., Mandal, R., Dutta, S., Chaulya, S.K., and Prasad, G.M., 2013, Application of gas monitoring sensors in underground coal mines and hazardous areas, International Journal of Computer Technology and Electronics Engineering, 3(3), 9-23.

24

Li, M.G., Zhu, H., You, S.Z., and Tang, C.Q., 2020, UWB-based localization system aided with inertial sensor for underground coal mine applications, IEEE Sensors Journal, 20(12), 6652-6669.

10.1109/JSEN.2020.2976097
25

Lösch, R., Grehl, S., Donner, M., Buhl, C., and Jung, B., 2018, Design of an autonomous robot for mapping, navigation, and manipulation in underground mines, In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 407-1412.

10.1109/IROS.2018.8594190
26

Mitra, M., 2019, Robotic farmers in agriculture, Advances in Robotics & Mechanical Engineering, 1(5), 91-93.

10.32474/ARME.2019.01.000125
27

Neumann, T., Ferrein, A., Kallweit, S., and Scholl, I., 2014, Towards a mobile mapping robot for underground mines, In Proceedings of the 2014 PRASA, RobMech and AfLaT International Joint Symposium, Cape Town, South Africa, 27-28.

28

Rajamani, R., 2011, Vehicle dynamics and control, Springer Science & Business Media.

10.1007/978-1-4614-1433-9
29

Ren, Z. and Wang, L., 2022, Accurate real-time localization estimation in underground mine environments based on a distance-weight map (DWM), Sensors, 22(4), 1463.

10.3390/s2204146335214363PMC8874530
30

Ren, Z., Wang, L., and Bi, L., 2019, Robust GICP-based 3D LiDAR SLAM for underground mining environment, Sensors, 19(13), 2915.

10.3390/s1913291531266207PMC6651459
31

Shan, T., and Englot, B., 2018, Lego-LOAM: Lightweight and ground-optimized LiDAR odometry and mapping on variable terrain, In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 4758-4765.

10.1109/IROS.2018.8594299
32

Shan, T., Englot, B., Meyers, D., Wang, W., Ratti, C., and Rus, D., 2020, LIO-SAM: Tightly-coupled LiDAR inertial odometry via smoothing and mapping, In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 5135-5142.

10.1109/IROS45743.2020.9341176
33

Szrek, J., Zimroz, R., Wodecki, J., Michalak, A., Góralczyk, M., and Worsa-Kozak, M., 2020, Application of the infrared thermography and unmanned ground vehicle for rescue action support in underground mine-The AMICOS project, Remote Sensing, 13(1), 69.

10.3390/rs13010069
34

Thrun, S., 2002, Probabilistic robotics, Communications of the ACM, 45(3), 52-57.

10.1145/504729.504754
35

Wang, H., Wang, C., Chen, C.L., and Xie, L., 2021, F-LOAM: Fast LiDAR odometry and mapping, In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 4390-4396.

10.1109/IROS51168.2021.9636655PMC8271371
36

Wu, X., Xu, M., and Wang, L., 2013, Differential speed steering control for four-wheel independent driving electric vehicle, In 2013 IEEE International Symposium on Industrial Electronics, 1-6.

10.1109/ISIE.2013.6563667
37

Wu, Y., Chen, M., Wang, K., and Fu, G., 2019, A dynamic information platform for underground coal mine safety based on internet of things, Safety Science, 113, 9-18.

10.1016/j.ssci.2018.11.003
38

Xu, W. and Zhang, F., 2021, FAST-LIO: A fast, robust LiDAR-inertial odometry package by tightly-coupled iterated Kalman filter, IEEE Robotics and Automation Letters, 6(2), 3317-3324.

10.1109/LRA.2021.3064227
39

Yun, S., Lee, J., Jang, W., Kim, D., Choi, M., and Chung, J., 2023, Dynamic modeling and analysis of a driving passenger vehicle, Applied Sciences, 13(10), 5903.

10.3390/app13105903
40

Zhang, J. and Singh, S., 2014, LOAM: LiDAR odometry and mapping in real-time, In Robotics: Science and Systems, 2(9), 1-9.

10.15607/RSS.2014.X.007
41

Zhao, J., Gao, J., Zhao, F., and Liu, Y., 2017, A search-and-rescue robot system for remotely sensing the underground coal mine environment, Sensors, 17(10), 2426.

10.3390/s1710242629065560PMC5677175
Information
  • Publisher :Korean Society for Rock Mechanics and Rock Engineering
  • Publisher(Ko) :한국암반공학회
  • Journal Title :Tunnel and Underground Space
  • Journal Title(Ko) :터널과 지하공간
  • Volume : 35
  • No :3
  • Pages :247-267
  • Received Date : 2025-04-22
  • Revised Date : 2025-05-13
  • Accepted Date : 2025-05-13