Environmental Characterization and Path Planning for Legged Robots Considering Foot-terrain Interaction

被引:0
|
作者
Xu P. [1 ]
Ding L. [1 ]
Gao H. [1 ]
Zhou R. [1 ]
Li N. [1 ]
Deng Z. [1 ]
机构
[1] State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin
关键词
Environmental characterization; Legged robot; Path planning; Physical characteristics;
D O I
10.3901/JME.2020.23.021
中图分类号
学科分类号
摘要
During the walking of a legged robot, the interactions between its end of feet and the terrain strongly affect the traversability of the robot. Foot-terrain interaction is closely related to the geometry of the terrain surface and the physical characteristics of it. Therefore, path planning based on geometric map alone is difficult to meet the demand of avoiding non-geometric hazards such as soft sand in the wild. To solve this problem, an environment model including geometric and physical characteristics is proposed in consideration of foot-terrain interaction for path planning of legged robots. By simplifying and unifying the foot-terrain interaction model under soft and rigid terrain, parameterized indexes characterizing the normal softness and tangential friction characteristics of the terrain are proposed, and a more comprehensive environment model is constructed by combining geometric characteristics and the proposed physical characteristics. Comprehensively considering the ground geometric and physical characteristics affecting the robot's traversability, the optimization target of path planning is reconstructed and the optimal path is planned for legged robots with graph search algorithm. Simulation and experiments with the hexapod robot Elspider verified that the proposed method can effectively avoid non-geometric hazards and plan a safer and more reliable path to traverse. © 2020 Journal of Mechanical Engineering.
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页码:21 / 33
页数:12
相关论文
共 27 条
  • [11] WU H, LIU B, SU W, Et al., Optimum pipeline for visual terrain classification using improved bag of visual words and fusion methods, Journal of Sensors, 1, pp. 1-25, (2017)
  • [12] CHILIAN A, HIRSCHMULLER H., Stereo camera based navigation of mobile robots on rough terrain, IEEE/RSJ International Conference on Intelligent Robots & Systems, (2009)
  • [13] WOODEN D, MALCHANO M, BLANKESPOOR K, Et al., Autonomous navigation for BigDog, 2010 IEEE International Conference on Robotics and Automation, pp. 4736-4741, (2010)
  • [14] HAUSER K, BRETL T, LATOMBE J C, Et al., Motion planning for legged robots on varied terrain, The International Journal of Robotics Research, 27, 11-12, pp. 1325-1349, (2008)
  • [15] JAILLET L, CORTES J, SIMEON T., Transition-based RRT for path planning in continuous cost spaces, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2145-2150, (2008)
  • [16] PERRIN N, STASSE O, BAUDOUIN L, Et al., Fast humanoid robot collision-free footstep planning using swept volume approximations, IEEE Transactions on Robotics, 28, 2, pp. 427-439, (2011)
  • [17] BELTER D, WIETRZYKOWSKI J, SKRZYPCZYNSKI P., Employing natural terrain semantics in motion planning for a multi-legged robot, Journal of Intelligent & Robotic Systems, 93, 3-4, pp. 723-743, (2019)
  • [18] DING L, GAO H, DENG Z, Et al., Foot-terrain interaction mechanics for legged robots: Modeling and experimental validation, The International Journal of Robotics Research, 32, 13, pp. 1585-1606, (2013)
  • [19] GAO H, JIN M, DING L, Et al., A real-time, high fidelity dynamic simulation platform for hexapod robots on soft terrain, Simulation Modelling Practice and Theory, 68, pp. 125-145, (2016)
  • [20] SILVA M F, MACHADO J A T, LOPES A M., Modelling and simulation of artificial locomotion systems, Robotica, 23, 5, pp. 595-606, (2005)