广东工业大学 自动化学院,广东,广州,510006
刘彪(1992−),男,硕士研究生,主要研究方向为机器人控制和轨迹规划
黄之峰(1984−),男,副教授,博士,主要研究方向为柔顺关节机器人、仿人机器人. E-mail:zhifeng@gdut.edu.cn
网络首发:2019-03-15,
纸质出版:2019
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刘彪, 黄之峰, 章云. 借助外力助推的双足机器人越障及避障方法研究[J]. 广东工业大学学报, 2019, 36(2): 62-69.
Liu Biao, Huang Zhi-feng, Zhang Yun. A Research on Biped Robot’s Obstacle Stepping Over and Avoidance Assisted by External Forces[J]. 2019, 36(2): 62-69.
刘彪, 黄之峰, 章云. 借助外力助推的双足机器人越障及避障方法研究[J]. 广东工业大学学报, 2019, 36(2): 62-69. DOI: 10.12052/gdutxb.180124.
Liu Biao, Huang Zhi-feng, Zhang Yun. A Research on Biped Robot’s Obstacle Stepping Over and Avoidance Assisted by External Forces[J]. 2019, 36(2): 62-69. DOI: 10.12052/gdutxb.180124.
由于仿人机器人在跨越大尺度障碍时需要重心大幅度地偏移
从而导致机器人容易摔倒或是跨越的距离有限
而通过引入外力的方法能有效地改善机器人的跨越性能. 本文主要研究双足机器人在额外外力的辅助下
无碰撞地跨越大尺度障碍物的问题. 首先
通过树形数据结构、相对轴矢量和相对位置矢量
建立了双足机器人的仿真模型. 然后
通过规划多次曲线跨越轨迹、引入整个跨越过程中的局部避障非线性约束和其他跨越约束的方法
建立起双足机器人越障及避障的多变量非线性优化模型. 最终
求解出了平面6自由度的冗余机器人越障及避障的2维步态
通过仿真验证了其能够跨过高度为其腿长43%的障碍物. 原理样机跨越15 cm高
为其腿长32%的障碍物
证明了本文所提越障及避障方法的有效性.
A study is conducted on bipedal robot stepping over large-size obstacles without collision with the assistance of extra external forces. Because the humanoid robot needs to shift greatly its center of gravity when crossing large-size obstacles
it is prone to fall or the crossed distance is limited. The method of adding external forces can effectively improve the robot's crossing performance. Firstly
a simulation model of biped robot is established by tree-shape data structure as well as relative axis vector and relative position vector. Then
by planning multiple order curves of stepping trajectory
introducing local obstacle avoidance of nonlinear constraints in the whole process along with the other nonlinear constraints
a changeable variable nonlinear optimal model is established for the bipedal robot to surmount and avoid obstacles. In the end
the 2D gait of obstacle crossing and avoidance of the plane 6 freedom redundant robot is designed. It is verified by the simulation to cross the obstacle with a height up to 43% of its legs. Finally
the prototype steps over a 15 cm-high obstacle
which reaches 32% of its leg length
and the effectiveness of the method is verified.
梶田秀司. 仿人机器人[M]. 北京: 清华大学出版社, 2007.
CHENG G, ZHU C A, SHEN L W, et al . A method of planning bionic over-obstacle walking mode for biped robo t based on b-spline curves [J ] . Journal of Engineering Graphics, 2006, 27(4): 1-7.
SU L, HOU Y, WU F, et al . Design and analysis of wheel foot type robot mechanism and the obstacle-surmounting performance [J ] . Machinery Design Manufacture, 2016, 1(8): 46-48+53.
YE X W, CHEN F, GAO J H. Obstacle-crossing gait research on hexapod robot [J]. Journal of Zhejiang Sci-Tech University, 2008, 25(5): 611-614.
KALAMIAN N, FARROKHI M. Dynamic walking of biped robots with obstacles using predictive controller[C]//20111st International Econference on Computer and Knowledge Engineering (ICCKE). Iran, Mashhad: IEEE, 2011: 105-110.
ZHOU C X, WANG X, LI Z B, et al. Exploiting the redundancy for humanoid robots to dynamically step over a large obstacle[C]//2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Germany, Hamburg: IEEE, 2015: 1599-1604.
FU C L, CHEN K. Gait synthesis and sensory control of stair climbing for a humanoid robot [J]. IEEE Transactions on Industrial Electronics, 2008, 55(5): 2111-2120.
KOCH K H, MOMBAUR K, STASSE O, et al. Optimization based exploitation of the ankle elasticity of hrp-2 for overstepping large obstacles[C]//201414th IEEE-RAS International Conference on Humanoid Robots (Humanoids). Spain, Madrid: IEEE, 2014: 733-740.
GUAN Y H, NEO E S, YOKOI K, et al . Stepping over obstacles with humanoid robots [J ] . IEEE Transactions on Robotics, 2006, 22(5): 958-973.
GUAN Y S, SIAN N E, YOKOI K. Motion planning for humanoid robots stepping over obstacles[C]//2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Canada, Edmonton: IEEE, 2005: 364-370.
GUAN Y S, YOKOI K, TANIE K. Feasibility: Can humanoid robots overcome given obstacles?[C]//2005 IEEE International Conference on Robotics and Automation (ICRA). Spain, Barcelona: IEEE, 2005: 1054-1059.
STASSE O, VERRELST B, VANDERBORGHT B, et al . Strategies for humanoid robots to dynamically walk over large obstacles [J ] . IEEE Transactions on Robotics, 2009, 25(4): 960-967.
YU W W, SABOURIN C, MADANI K, et al . Approach of biped robot to step over obstacle based on adams and matlab united simulation [J ] . Computer Measurement Control, 2008, 16(11): 1741-1743+1769.
GUO F Y, MEI T, LUO M Z, et al . Motion planning for humanoid robot dynamically stepping over consecutive large obstacles [J ] . Industrial Robot-an International Journal, 2016, 43(2): 204-220.
DOUBLIEZ P F, BRUNEAU O, BEN OUEZDOU F. Dynamic obstacle crossing by a biped robot, based on control of the propulsion energy[C]//IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems (IROS 2010). Taipei: IEEE, 2010: 3144-3149.
KOJIO Y, KARASAWA T, KOJIMA K, et al. Walking control in water considering reaction forces from water for humanoid robots with a waterproof suit[C]//2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016). South Korea, Daejeon: IEEE, 2016: 658-665.
FARNIOLI E, GABICCINI M, BICCHI A. Toward whole-body loco-manipulation: Experimental results on multi-contact interaction with the walk-man robot[C]//2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016). South Korea, Daejeon: IEEE, 2016: 1372-1379.
HUANG Z F, LIU B, WEI J P, et al. Jet-hr1: Two-dimensional bipedal robot step over large obstacle based on a ducted-fan propulsion system[C]//2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids). UK, Birmingham: IEEE, 2017: 406-411.
DU Y H, LI X, ZHAO D, et al . Gait control on humanoid obstacle-crossing robots [J ] . Chinese Journal of Construction Machinery, 2017, 15(1): 10-14.
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