计算机科学 ›› 2017, Vol. 44 ›› Issue (8): 318-321.doi: 10.11896/j.issn.1002-137X.2017.08.055

• 图形图像与模式识别 • 上一篇    

基于双目视觉导航的仿生机器人鲁棒控制算法

李秀娟,刘伟,李珊红   

  1. 合肥学院电子信息与电气工程系 合肥230601;合肥工业大学电气与自动化工程学院 合肥230009,合肥学院电子信息与电气工程系 合肥230601,合肥学院电子信息与电气工程系 合肥230601
  • 出版日期:2018-11-13 发布日期:2018-11-13
  • 基金资助:
    本文受安徽省高校省级自然科学研究重点项目(KJ2015A258)资助

Robust Control Algorithm of Bionic Robot Based on Binocular Vision Navigation

LI Xiu-juan, LIU Wei and LI Shan-hong   

  • Online:2018-11-13 Published:2018-11-13

摘要: 仿生机器人在定姿过程中受到空间扰动因素的影响容易产生控制误差,需要对机器人进行精确标定,提高仿生机器人的定位控制精度,因此提出一种基于双目视觉导航的仿生机器人鲁棒控制算法。利用光学CCD双目视觉动态跟踪系统进行仿生机器人的末端位姿参量测量,建立被控对象的运动学模型;以机器人的转动关节的6自由度参量为控制约束参量,建立机器人的分层子维空间运动规划模型;采用双目视觉跟踪方法实现仿生机器人的位姿自适应修正,实现鲁棒性控制。仿真结果表明,采用该方法进行仿生机器人控制的姿态定位时对机器人末端位姿参量的拟合误差较低,动态跟踪性能较好。

关键词: 双目视觉导航,仿生机器人,鲁棒,控制,位姿,跟踪

Abstract: In the course of pose determination,the bionic robot is prone to generate control errors due to the influence of spatial perturbation factors.Accurate calibration of robots is required,and the positioning accuracy of bionic robot need to be improved.A robust control algorithm of bionic robot based on binocular vision navigation was proposed.The optical CCD binocular vision dynamic tracking system is used to measure the terminal position and orientation parameters of the bionic robot.The kinematic model of the controlled object is established.Taking the 6 degree of freedom parameter in the rotational joint of a robot as the control constraint paramater,a hierarchical space motion planning model of robot is established.The binocular vision tracking method is used to realize the adaptive correction of the position and orientation of the bionic robot,and robust control is achieved.Simulation results show that when appling the method to position control of biomimetic robot,the fitting error of robot end position parameters is low,and the performance of dynamic tracking is better.

Key words: Binocular vision navigation,Bionic robot,Robust,Control,Pose,Tracking

[1] ZHANG M,CHEN W,CHEN L,et al.Photorefractive long period waveguide grating filter in lithium niobate strip waveguide[J].Optical and Quantum Electronics,2014,5(46):1529-1538.
[2] ZHANG J X,WANG S T,DENG Z H,et al.A subspace transfer learning algorithm integrating heterogeneous features[J].Acta Automatica Sinica,2014,40(2):236-246.(in Chinese) 张景祥,王士同,邓赵红,等.融合异构特征的子空间迁移学习算法[J].自动化学报,2014,40(2):236-246.
[3] JIANG Y Z,CHUNG F L,WANG S T,et al.Collaborative fuzzyclustering from multiple weighted views[J].IEEE Transactions on Cybernetics,2015,45(4):688-701.
[4] LI K,MI J.Research on Mechanical and Electrical Control Algorithm of Bionic Robot Based on Variable Structure PID[J].Journal of Henan University of Engineering(Natural Science Edition),2016,8(2):32-37.(in Chinese) 李可,米捷.基于变结构PID的仿生机器人机电控制算法[J].河南工程学院学报(自然科学版),2016,8(2):32-37.
[5] LI W P,ZHANG G L,YAO E L,et al.An Improved Loop Closure Detection Algorithm Based onthe Constraint from Space Position Uncertainty[J].ROBOT,2016,38(3):301-310,1.(in Chinese) 李维鹏,张国良,姚二亮,等.基于空间位置不确定性约束的改进闭环检测算法[J].机器人,2016,38(3):301-310,1.
[6] XU F.Research on Robot Obstacle Avoidance and Path Planning Based on Improved Artificial Potential Field Method[J].Computer Science,2016,3(12):293-296.(in Chinese) 徐飞.基于改进人工势场法的机器人避障及路径规划研究[J].计算机科学,2016,3(12):293-296.
[7] YANG L,FU Y,FU G P,et al.Running Gait Planning and Control for Humanoid Robot Based on Energy Efficiency Optimization[J].Computer Science,2016,3(6):270-275.(in Chinese) 杨亮,傅瑜,付根平,等.基于能效优化的仿人机器人跑步步态优化与控制[J].计算机科学,2016,3(6):270-275.
[8] ZHAO G R,HAN X,DU W J,et al.Fusion estimator with stochastic sensor gain degradation for uncertain systems[J].Control and Decision,2016,31(8):1413-1418.(in Chinese) 赵国荣,韩旭,杜闻捷,等.具有传感器增益退化的不确定系统融合估计器[J].控制与决策,2016,31(8):1413-1418.
[9] DOU H J,WANG Q L,ZHANG X.A Joint Estimation Algorithm of TDOA and FDOA Based on Wavelet Threshold De-noising and Conjugate Fuzzy Function[J].JEIT,2016,38(5):1123-1128.(in Chinese) 窦慧晶,王千龙,张雪.基于小波阈值去噪和共轭模糊函数的时频差联合估计算法[J].电子与信息学报,2016,38(5):1123-1128.
[10] FU G P,YANG Y M,HUANG C L.Walking Pattern Optimiza-tion Based on Particle Swarn Optimization For Biped Robot[J].Journal of Huazhong University of Science and Technology(Natural Science),2011,9(Z2):355-358.(in Chinese) 付根平,杨宜民,黄春林.基于粒子群优化算法的双足机器人步态优化[J].华中科技大学学报(自然科学版),2011,9(Z2):355-358.
[11] PAN J L,XIONG Z,WANG L N,et al.A Simplified UKF Algorithm for SINS/GPS/CNS Integrated Navigation System in Launch Inertial Coordinate System[J].Acta Armamentarii,2015,6(3):484-491.(in Chinese) 潘加亮,熊智,王丽娜,等.一种简化的发射系下SINS/GPS/CNS组合导航系统无迹Kalman滤波算法[J].兵工学报,2015,6(3):484-491.
[12] YE B Q,WANG Y.Research of Obstacle Avoidance Algorithm for Robot Based on Artificial Potentical Field[J].Journal of Chongqing University of Technology(Natural Science),2012,6(9):82-85.(in Chinese) 叶彬强,王一.基于人工势场法的机器人避障算法[J].重庆理工大学学报(自然科学版),2012,6(9):82-85.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!