由于实验平台的限制,目前的移动机器人平台还存在着一些不足,先提出一些未来的 改进方向,希望能对以后的科研工作者有所帮助。
(1) 本文中的移动机器人在避障实验时对障碍物数量和速度等由较多的限制,可以 采用更先 进的双 目立体 视觉技术 和算法 来使得 移动机器 人更能 满足现 如今的 避障需求。
浙江大学硕士学位论文 总结及展望
(2) 本文中的移动机器人主要在室内平地运行,无法在室外非结构化环境工作。这 要求未来 的科研 人员要 采用其他 的机器 人运动 结构和控 制策略 使机器 人能够 运行在非平地的工作环境。
浙江大学硕士学位论文 参考文献
参考文献
[1] 徐国华,谭民.移动机器人的发展现状及趋势[J].机器人技术与应用.2001,3:7-14.
[2] 徐国保,尹怡欣,周美娟.智能移动机器人技术现状及展望[J].机器人技术与应用,2008(2):29-34.
[3] 董胜龙,陈卫东,席裕庚.多移动机器人编队的分布式控制系统.机器人 ,2000,22(6):433~438 [4] Mosher R S. Test and evaluation of a versatile walking truck[C]Proceedings of off-road mobility
research symposium. 1968: 359-379.
[5] J.M.Lowire. The Autonomous Land Vehicle Program Update:1987 Update. Proc. Of SPIE Mobile Robot Conference, Cambridge, MA,Oct.1986.
[6] 美国能源部未来20年的RIM发展计划[J].国内外机电一体化技术,2006(6):39
[7] James A,Peter S.Flight telerobotic servicer: the development test flight[C]/ /Proceeding of Telesystems Conference.Goddard Space Flight Center,NASA,1991: 377-383.
[8] Toshio Nakamura, Satora Kanno . outline of magnet whee1 type u1trasonic inspection device . Robot , (4 6) : 6 8-7 4.
[9] Thorpe Ced . Vision and Navigation: The Carnegie Mellon Navlab. Kluwer Academic Publishers, 1990.
[10] Pomerleau D. RALPH: Rapidly Adapting Lateral Position Handler. Proc 1995 IEEE Symp on Intelligent Vehicles. IEEE Press Piscataway N J , 1995.
[11] Jochem Tetal. PANS: A Portable Navigation Platform. Proc 1995 IEEE Symp on Intelligent Vehicles, Sept: 25~26, 1995, Detroit, Michigan, USA. IEEE Press Piscataway, N J, 1995: 107~ 112.
[12] 杨帆. 无人驾驶汽车的发展现状和展望[J]上海汽车,2014(3):35-40
[13] E.D. Dickmanns, R. Behringe, D. Dickmanns, T. Hildebrand, M. Maure, F. Thomanek, J.Schiehlen.
The Seeing Passenger Car ‘VaMORS-P’. Proceedings of the Intelligent Vehicles’94 Symposium, 1994:68 – 73.
[14] Hirai K,Hirose M,Haikawa Y,et al.The development of Honda robot[C]Proceedings of the 1998 IEEE International Conference on Robotics and Automation,Leuven,Belgium,1998:1321-1326.
[15] Honda Asimo the Honda humanoid robot Asimo[EB/OL].http:// world.honda.com/ASIMO/.
[16] ZHANG Jiaqi, TOMIZUKA Masayoshi, CHEN Qijun, LIU Chengju. Dynamic Walking of AIBO with Hopf Oscillators [J] CHINESE JOURNAL OF MECHANICAL ENGINEERING,2011,4:612-617
浙江大学硕士学位论文 参考文献
[20] Roberts L G. Maehine PercePtion of Three一dimensional Solids [D]. Cambridge: Massachusetts Institute of Technology,1963.
[21] Barnard S T,Fisehler MA. Computational Stereo[J].ACM Computing Surveys,1982,12:10一15.
[22] 曾建兰. 摄像机标定若干问题的研究[D].硕士学位论文,华东师范大学,2008,4.
[23] 白明,庄严,王伟.双目立体匹配算法的研究与进展[J].控制与决策,2008,23(7):721一729.
[24] Veksler O.Effieient graph-based energy minimization methods in computer vision[D].Cornell University,1999.
[25] Boykov Y, Veksler O,Zabih R.Fast approximate energy minimization via graph cuts [J].Patten Analysis and Machine Intelligence,IEEE Transactions on,2001,23(11):1222-1239
[26] 朱大奇,颜明重.移动机器人路径规划技术综述[J].控制与决策,2010,25(7):961-967 [27] 戴博, 肖晓明, 蔡自兴. 移动机器人路径规划技术的研究现状与展望[J]. 控制工程, 2005, 12(3):
198-202.
[28] Hofner C, Schmidt G. Path planning and guidance techniques for an autonomous mobile robot[J].
Robotic and Autonomous Systems, 1995, 14(2): 199-212.
[29] Schmidt G, Hofner C. An advaced planning and navigation approach for autonomous cleaning robot operationa[C].IEEE Int Conf Intelligent Robots System. Victoria, 1998:1230-1235.
[30] Liu Y. Zhu S, Jin B, et al. Sensory navigation of autonomous cleaning robots[C]. The 5th World Conf on Intelligent Control Automation. Hangzhou, 2004: 4793-4796.
[31] Arleo A, Smeraldi F, Gerstner W. Cognitive navigation based on non-uniform Gabor space sampling, unsupervised growing Networks, and reinforcement learning[J]. IEEE Trans on Neural Network, 2004, 15(3): 639-652.
[32] Oussama Khatib. Real - time Obstacle Avoidance for Manipulators and Mobile Robots
[J]. International Journal of Robotics Research,1986( 5) : 90-98.
[33] 覃柯,孙茂相,孙昌志. 动态环境下的基于改进人工势场的机器人运动规划[J]. 沈阳工
业大学学报,2003( 5) :568 -570
[34] B Siciliano,L Sciavicco. A Solution Algorithm to the Inverse Kinematic Problem for Redundant Manipulators[J].IEEE Journal of Robotics and Automation, 1998( 4) :403 -410
浙江大学硕士学位论文 参考文献
[35] Fujimura K, Samet H. A hierarchical strategy for path planning among moving obstacles[J]. IEEE Trans on Robotic Automation, 1989, 5(1): 61-69.
[36] Conn R A, Kam M. Robot motion planning on Ndimensional star worlds among moving obstacles[J]. IEEE Trans on Robotic Automation, 1998, 14(2): 320-325.
[37] Ko N Y, Lee B H. Avoid ability measure in moving obstacle avoidance problem and its use for robot motion planning[C]. IEEE Int Conf on Intelligent Robots and System. Osaka, 1996:
1296-1303.
[38] Erdinc S C. Path planning using potential fields for highly redundant manipulators[J]. Robotics and Autonomous Systems, 2005, 52(2): 209-228.
[39] Jaradat M, Garibeh M H, Feilat E A. Dynamic motion planning for autonomous mobile robot using fuzzy potential field[C]. 6th Int Symposium on Mechatronics and Its Applications. Sharjah, 2009:
24-26.
[40] Masoud A A. Managing the dynamics of a harmonic potential field-guided robot in a cluttered environment[J]. IEEE Trans on Industrial Electronics, 2009, 56(2): 488-496.
[41] Glasius,&,Komoda,A.,Gielen,S.C.A.M.Neural network dynamics for patch planning and obstacle avoidance[J],Neural Networks,1995,8(1),125-133.
[42] Chohra,A.,Farah,A.,Belloucif,M—Neuro-fuzzy expert system E—S—CQ,for the obstacle avoidance behavior of intelligent autonomous vehicles[J],Advanced Robotics,1999,12(6): 629-649.
[43] Simon X.Yang,Max Meng.Neural Network Approaches to Dynamic Collision-Free Trajectory Generation[C],IEEE Transactions on Systems,Man,and Cybernetics—partB:Cybernetics,2001, 3l(3),302-318.
[44] Parhi,D.R.,Singh,M.K..Real-time navigational control of mobile robots using an artificial neural network[J],Proceedings of the Institution of Mechanical Engineers,Part C:Journal of Mechanical Engineering Science,2009,223(7):1713-1725.
[45] 于艳艳.蚁群算法研究综述[J].科技广场,2009( 1) :238-239.
[46] 董金明.基于蚁群算法的路径规划研究[D].西安: 陕西师范大学,2009.
[47] O.D. Faugeras, G. Toscani. Camera Calibration for 3D Computer Vision. Proc. Int.Workshop on Industrial Applications of Machine Vision and machine Intelligence. New York:IEEE, 1986:15~20.
[48] D. Yongtaeo. Applications of Neural Networks for Stereo-Camera Calibration. Proc.Of International Joint Conference on Neural Networks. Washington: IEEE, 1999:2719~2722.
[49] 马颂德, 张正友. 计算机视觉计算理论与实践. 北京:科学出版社, 1998: 52~60.
浙江大学硕士学位论文 参考文献
[50] 邓哲宇. 轮式移动机器人建模与运动控制策略研究[D].硕士学位论文,浙江大学,2015,1.