| 研究生: |
楊家俊 Yang, Jia-Jun |
|---|---|
| 論文名稱: |
以影像處理為基礎之看門狗機器人之設計與研製 Design and Implementation of an Image Processing Based Watchdog Robot |
| 指導教授: |
李祖聖
Li, Tzuu-Hseng S. |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 電機工程學系 Department of Electrical Engineering |
| 論文出版年: | 2002 |
| 畢業學年度: | 90 |
| 語文別: | 中文 |
| 論文頁數: | 110 |
| 中文關鍵詞: | 路徑規劃 、向量場 、影像處理 |
| 外文關鍵詞: | image process, path planning, vector field |
| 相關次數: | 點閱:124 下載:5 |
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本論文主要在研究居家使用的看門狗機器人。我們透過一個架設在上方的全域CCD擷取動態環境影像,交由影像擷取卡作數位化處理,再傳送至伺服電腦作為影像辨識之依據,並利用影像處理方式定位機器人與障礙物,以作區分的動作。同時利用向量場的觀念,針對障礙物對機器人的排斥力與目標地的吸引力兩者構成的合力導引機器人到達目標地,以作環境的路徑規劃。其中伺服電腦演算後的控制指令是透過無線傳輸模組傳送給機器人,透過網際網路我們也可以控制機器人,並將架設在機器人身上的無線CCD攝取的畫面傳送給遠端主人。最後電腦的模擬與實驗結果證明整個路徑規劃的可行性。
The purpose of this thesis primarily focuses on design and implementation of the Watchdog Robot for home security. Through grabbing the dynamic environment image from a global CCD, we digitalized it by the image-grabber first and then transmitted it to the server PC as the basis of image identification. During the image process, positioning and identifying the robot and obstacles are our second step. From the same concept of vector field, the repulsive force from the obstacles and the attractive force from the target induce a resultant force to guide the robot reaching the target. The command from the server PC is transmitted to the robot through wireless modem. Moreover one can control the robot via internet and get the image form the wireless CCD mounted on the robot. The simulations and practical experiments demonstrate the feasibility of the whole idea of the path planning.
[1] S. S. Ge and Y. J. Cui, “ New Potential Functions for Mobile Robot Path Planning,” IEEE Transactions on Robotics and Automation, Vol. 16, No. 5, pp. 615-620, October 2000.
[2] Prahlad Vadakkepat, Tong Heng Lee and Liu Xin, “ Application of Evolutionary Artificial Potential Field in Robot Soccer System,” IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th , Vol.5, pp.2781 -2785, 2001.
[3] Nikos C. Tsourveloudis, Kimon P. Valavanis, and Timothy Hebert, “Autonomous Vehicle Navigation Utilizing Electrostatic Potential Fields and Fuzzy Logic,” IEEE Transactions on Robotics and Automation, Vol. 17, No. 4, pp.490-497, August 2001.
[4] S. Ishikawa, “A Method for Indoor Mobile Robot Navigation by Using Fuzzy Control,” IEEE/RSJ Int. Workshop Intelligence Robot Systems IROS’91, pp. 1013-1018, Nov. 3-5,1991.
[5] B. H. Krogh and C. E. Thorpe, “Integrated Path Planning and Dynamic Steering Control for Autonomous Vehicles,” IEEE Int. Conf. Robotics and Automation, pp. 1664-1669, 1986.
[6] J. Borenstein and Y. Koren, “ Real-Time Obstacle Avoidance for Fast Mobile Robots,” IEEE Trans. Systems, Man, and Cybernetics, Vol. 19, No. 5, pp. 1179-1187, 1989.
[7] P. S. Lee and L. L. Wang, “A Fuzzy Approach to Collision Avoidance for Automated Guided Vehicles,” The First National Symposium on Fuzzy Set Theory and Applications, pp. 462-468,1993.
[8] Yong K. Hwang and Narendra Ahuja, “A Potential Field Approach to Path Planning,” IEEE Transactions on Robotics and Automation, Vol. 8, No.1, pp.23-32, February 1992.
[9] J-H. Chuang and N. Ahija, “ An analytically Tractable Potential Field Model of Free Space and Its Application in Obstacle Avoidance,” IEEE Trans. On Systems, Man, and Cybern., part B: Cybernetics, Vol.28, No.5 pp.729-736, 1998.
[10] J-H. Chuang, “Potential-Based Modeling of Three-Dimensional Workspace of The Obstacle Avoidance,” IEEE Transactions on Robotics and Automation, Vol. 14, No. 5, pp.778-785, 1998.
[11] Jürgen Guldner and Vadim I. Utkin, “ Sliding Mode Control Tracking and Robot Navigation Using Artificial Potential Fields,” IEEE Transactions on Robotics and Automation. Vol.11, No. 2, pp.247-254 April, 1995.
[12] Vadakkepat, P., Kay Chen Tan and Wang Ming-Liang, “Evolutionary Artificial Potential Fields and Their Application in Real Time Robot Path Planning,” Proceedings of the 2000 Congress on Evolutionary Computation , pp. 256 -263 Vol.1 , 2000.
[13] Ronald C. Arkin, Behavior-Based Robotics, Robot Shaping: An Experiment in Behavior Engineering, 1998.
[14] Min gyu Park, Jae hyun Jeon and Min cheol Lee, “ Obstacle Avoidance for Mobile Robots Using Artificial Potential Field Approach with Simulated Annealing,” Proceedings. ISIE 2001. IEEE International Symposium on Industrial Electronics, Vol.3, pp.1530-1535 , 2001.
[15] Akihisa Ohya, Akio kosaka, and Avinash Kak, “Vision-Based navigation by a Mobile Robot with Obstacle Avoidance Using Single-Camera Vision and Ultrasonic Sensing,” IEEE Transactions on Robotics and Automation, Vol. 14, No.6, pp.969-978, December, 1998.
[16] Jean Bosco Mbede, Xinhan Huang and Min Wang, “ Fuzzy Motion Planning Among Dynamic Obstacles Using Artificial Potential Fields for Manipulators,” Robotics and Automous Systems, Vol. 32, pp.61-72, 2000.
[17] G. Garibotto and S. Masciangelo, “ Path Planning Using the Potential Field Approach for Navigation,” 'Robots in Unstructured Environments', 91 ICAR., Fifth International Conference on Advanced Robotics , Vol.2 , pp. 1679 -1682, 1991.
[18] José Santos-Victor and Giulio Sandini, “ Embedded Visual Behavior for Navigation,” Robotics and Automous Systems, Vol. 19, pp.299-313, 1997.
[19] Kimon P. Valavanis, Timothy Hebert, Ramesh Kolluru, and Nikos Tsourveloudis, “ Mobile Robot Navigation in 2-D Dynamic Environments Using an Electrostatic Potential Field,” IEEE Transactions on System, Man , and Cybernetics-Paert A: Systems and Humans, Vol. 30, No. 2, pp.187-196, March, 2000.
[20] L. A. Zadeh, “Fuzzy Algorithms,” Inform. Control, Vol. 12, pp. 94-102, 1968.
[21] L. A. Zadeh, “Fuzzy Sets,” Inform. Control, Vol. 8, pp. 338-353, 1965.
[22] Yoram Koren and Johann Borenstein, “ Potential Field Methods and Their Inherent Limitations for Mobile Robot Navigation,” Proceedings., 1991 IEEE International Conference on Robotics and Automation, Vol.2, pp.1398 -1404, 1991.
[23] Wei Li, Xiaojia Jiang, and Yongqiang Wang, “ Road Recognition for navigation of an Autonomous Vehicle by Fuzzy Reasoning,” Proceedings of the Fifth IEEE International Conference on Fuzzy Systems , Vol.1, pp.246-250, 1996.
[24] B. H. Krogh, “ A Generalized Potential Field Approach to Obstacle Avoidance,”Robotics Research: The Next Five Years and Beyond, Bethlehem, PA, 1984.
[25] Y. Koren and J. Borenstein, “ Histogram In-Motion Mapping for Mobile Avoidance,” IEEE Transaction on Robotics and Automation, Vol.7, No.4, pp.535-505, 1991.
[26] L. McFetridge and M. Yousef Ibrahim, “ New Technique of Mobile Robot Navigation Using a Hybrid Adaptive Fuzzy-Potential Field Approach,” Computers ind. Engng, Vol. 35, No. 3-4, pp. 471-474, 1998.
[27] Warren C.W., “ A Vector Based Approach to Robot Path Planning,” Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference , Vol.2, pp. 1021 -1026, 1991.
[28] Ren C. Luo and Tse Min Chen, “ Development of a Multibehavior-Based Mobile Robot for Remote Supervisory Control Through the Internet,” IEEE/ASME Transactions on Mechatronics, Vol. 5, No. 4, December, 2000.
[29] J. Guldner, V. I. Utiken, H. Hashimoto and F. Harashima, “ Tracking Gradients of Artificial Potential Fields with Non-Holonomic Mobile Robots, Submitted to ACC, 1995.
[30] José Santos-Victor, “ Vision-Based Remote Control of Cellular Robots,” Robotics and Autonomous Systems, Vol. 23, pp.221-234, 1998.
[31] J. L. Diaz de Leon S. and J. H. Sossa A,“Automatic Path Planning for a Mobile Robot Among Obstacle of Arbitrary Shape,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, Vol. 28, No. 3, pp. 467-472, June 1998.
[32] C. J. Taylor and D. J. Kriegman,“ Vision-Based Motion Planning and Exploration Algorithms for Mobile Robots, ” IEEE Transactions on Robotics and Automation, Vol. 14, No. 3, pp. 417-426, June 1995.
[33] M. Bowling and M. Veloso, “Motion Control in Dynamic Multi-Robot Environments,” Proceedings, IEEE International Conf. on Robotics and Automation, pp. 168-173, 1999.
[34] User Guide: Matrox Imaging Library, Matrox Electronic Systems Ltd., Canada, 1998.
[35] Elon Rimon, “Exact Robot Navigation Using Artificial Potential Functions,” IEEE Transaction on Robotics and Automation, Vol. 8, No. 5, October, 1992.
[36] Wei, Li, Chenyu Ma and F. M. Wahl, “ A Neuro-Fuzzy System Architecture for Behavior-Based Control of a Mobile Robot in Unknown Environments,” Fuzzy Sets and Systems, Vol.87, pp.133-140, 1997.
[37] Atsushi Fukayama, Masaaki Ida and Osamu Katai, “ Behavior-Based Fuzzy Control System for a Mobile Robot with Environment Recognition by Sensory-Motor Coordination,” IEEE International Fuzzy Systems Conference Proceedings, Vol. 1, pp.105-110, 1999.
[38] 連國珍, 數位影像處理, 儒林圖書有限公司,1992.
[39] 繆紹綱, 數位影像處理活用Matlab, 全華科技圖書股份有限公司,1999.
[40] 賴昶安, “設計實現模糊場控制器於一對一機器足球比賽”, 國立成功大學電機工程學系碩士論文, 2001.
[41] 江世忠, “應用即時影像處理實現車型機器人知智慧型路邊停車之研究”, 國立成功大學電機工程學系碩士論文, 1999.
[42] 王利裕, “ 網際網路化遠端伺服監控系統”, 國立成功大學電機工程學系碩士論文, 2001.
[43] 蔡寶賢, “ 以DSP實現具室內導航控制功能之機器人及其於居家保全之應用,” 國立成功大學電機工程學系碩士論文, 2002.
[44] 唐佩忠, VHDL與數位邏輯設計, 高立出版社, 1999.
[45] 蔡昆華, “ 以電力線傳送之資訊家電控制系統之設計與實現,” 國立成功大學電機工程學系碩士論文, 2002.