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JRM Vol.24 No.1 pp. 55-63
doi: 10.20965/jrm.2012.p0055
(2012)

Paper:

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AutonomousWalking over Obstacles by Means of LRF for Hexapod Robot COMET-IV

Mohd Razali Daud* and Kenzo Nonami**

*Department of Artificial System Science, Graduate School of Engineering, Chiba University, 1-33 Yayoicho, Inageku, Chiba 263-8522, Japan

**Department of Mechanical Engineering, Chiba University, 1-33 Yayoicho, Inageku, Chiba 263-8522, Japan

Received:
January 19, 2011
Accepted:
July 7, 2011
Published:
February 20, 2012
Creative Commons License
Keywords:
grid-based walking trajectory, omnidirectional gait, obstacle avoidance
Abstract
This paper presents an autonomous navigation system for a hydraulically driven hexapod robot (COMETIV) based on point cloud data acquired using a rotating Laser Range Finder (LRF). The size of the robot would prohibit its movement in a stochastic terrain environment if we only consider letting it avoid obstacles. However, the robot has a unique ability to walk over obstacles. We thus proposed the so-called Grid-based Walking Trajectory for Legged Robot (GWTLR) method. The method is developed on the basis of the geometric representation of a stochastic terrain in terms of grid cell characteristics. We also introduced the “Grid-cell model for COMET-IV” to assess the characteristics of the grid cells and to determine whether each of the cells is traversable or not. Finally, the shortest safe walking trajectory is generated using a search algorithm, A*. The performance of the proposed method is verified by the experimental results of the successful determination of a walking trajectory path and by completely walking over obstacles in various arrangements.
Cite this article as:
M. Daud and K. Nonami, “AutonomousWalking over Obstacles by Means of LRF for Hexapod Robot COMET-IV,” J. Robot. Mechatron., Vol.24 No.1, pp. 55-63, 2012.
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References
  1. [1] K. Nonami et al., “Development and Control of Mine Detection Robot COMET-II and COMET-III,” JSME Int. J., Series C, Vol.46, No.3, pp. 881-890, 2003.
  2. [2] S. Hirose, H. Kikuchi, and Y. Umetani, “The Standard Circular Gait of the QuadrupedWalking Vehicle,” J. of Robotics Society of Japan, Vol.2, No.6, pp. 41-52, 1984.
  3. [3] Y. Harada et al., “Development of Hydraulically Actuated Hexapod Robot COMET-IV – The 4th Report: Walking in Outdoor Uneven Terrain by Positional Control,” Proc. of Robotics Society of Japan, 2G24, 2007.
  4. [4] T. Collins, J. J. Collins, and C. Ryan, “Occupancy Grid Mapping: An Empirical Evaluation,” IEEE Int. Conf. on Control and Automation, pp. 1-7, 2007.
  5. [5] T. Suzuki, Y. Amano, T. Hashizume, and S. Suzuki, “3D Terrain Reconstruction by Small Unmanned Aerial Vehicle Using SIFT-Based Monocular SLAM,” J. of Robotics and Mechatronics, Vol.23, No.2, pp. 292-301, 2011.
  6. [6] C. Ye, “Navigating a Mobile Robot by a Traversability Field Histogram,” IEEE Trans. on System, Man, and Cybernetics, Part B, Vol.37, No.2, pp. 361-372, 2007.
  7. [7] T. Doi et al., “Development of Quadruped Walking Robot TITAN XI for Steep Slopes – Slope Map Generation and Map Information Application,” J. of Robotics and Mechatronics, Vol.18, No.3, pp. 318-324, 2006.
  8. [8] D. Pebrianti, W. Wang, Y. Song, D. Iwakura, W. Wang, and K. Nonami, “Sliding Mode Controller for Stereo Vision Based Autonomous Flight of Quad-Rotor MAV,” J. of Robotics and Mechatronics, Vol.23, No.1, pp. 138-148, 2011.
  9. [9] P. Moghadam, W. S.Wijesoma, and D. J. Feng, “Improve Path Planning and Mapping Based on Stereo Vision and Lidar,” IEEE Int. Conf. on Control and Automation, pp. 384-389, 2008.
  10. [10] H. Moravec and A. Elfes, “High Resolution Maps fromWide Angle Sonar,” IEEE Int. Conf. on Robotics and Automation, 1985.
  11. [11] O. Özışık and S. Yavuz, “An Occupancy Grid Based SLAM Method,” IEEE Int. Conf. on Computational Intelligence for Measurement Systems and Applications, pp. 117-119, 2008.
  12. [12] S. Brechtel, T. Gindele, and R. Dillmann, “Recursive Important Sampling for Efficient Grid-Based Occupancy Filtering in Dynamic Environments,” IEEE Int. Conf. on Computational Intelligence for Measurement Systems and Applications, pp. 3932-3938, 2010.
  13. [13] C. Cheng and Y. Cheng, “Research on Map Building by Mobile Robots,” IEEE Int. Conf. on Intelligent Information Application, pp. 673-677, 2008.
  14. [14] P. Hart, N. Nilsson, and B. Rafael, “A Formal Basis for the Heuristic Determination of Minimum Cost Paths,” IEEE Trans. on Systems Science and Cybernatics, Vol.4, pp. 100-107, 1968.
  15. [15] K. Futagami, Y. Harada, M. Oku et al., “Real Time Navigation and Control of Hydraulically Actuated Hexapod Robot COMETIV,” JSME Int. Conf. on Motion and Vibration Control, 2008.
  16. [16] H. Ohroku, A. Irawan, and K. Nonami, “A 3D Simulator modeling for Hydraulic-drive Hexapod walking Robot using 3D Geometric Technique with distributed Numerical Model,” ICGST-ARAS Journal, Vol.9, Issue 1, 2009.

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