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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/52871完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 黃漢邦 | |
| dc.contributor.author | Yao-Chun Hsiao | en |
| dc.contributor.author | 蕭耀鈞 | zh_TW |
| dc.date.accessioned | 2021-06-15T16:31:37Z | - |
| dc.date.available | 2020-08-28 | |
| dc.date.copyright | 2015-08-28 | |
| dc.date.issued | 2015 | |
| dc.date.submitted | 2015-08-13 | |
| dc.identifier.citation | [1] Microsoft Kinect. Retrieved Jul, 7, 2015, from http://www.microsoft.com/en-us/kinectforwindowsdev/default.aspx
[2] OpenCV. Retrieved Jul, 7, 2015, from http://opencv.org/ [3] OpenGL Official Website. Retrieved Jul, 7, 2015, from http://www.opengl.org/ [4] OpenNI. Retrieved Jul, 7, 2015, from http://www.openni.org/ [5] XBOX. Retrieved Jul, 7, 2015, from http://www.xbox.com/ [6] A. Albu-Schäffer, C. Ott, and G. Hirzinger, 'A unified passivity-based control framework for position, torque and impedance control of flexible joint robots,' The International Journal of Robotics Research, Vol. 26, No. 1, pp. 23-39, 2007. [7] J. Aleotti and S. Caselli, 'Grasp Recognition in Virtual Reality for Robot Pregrasp Planning by Demonstration,' Proc. of IEEE International Conference on Robotics and Automation, Orlando, Florida, USA, pp. 2801-2806, 2006. [8] L. Biagiotti, H. Liu, G. Hirzinger, and C. Melchiorri, 'Cartesian impedance control for dexterous manipulation,' Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, NV, USA, Vol. 4, pp. 3270-3275, 2003. [9] A. Bicchi and V. Kumar, 'Robotic Grasping and Contact: A Review,' Proc. of IEEE International Conference on Robotics and Automation, San Francisco, CA, USA, Vol. 1, pp. 348-353, 2000. [10] J. Bohg, A. Morales, T. Asfour, and D. Kragic, 'Data-Driven Grasp Synthesis---A Survey,' IEEE Transactions on Robotics, Vol. 30, No. 2,01 April 2014. [11] R. Boughdiri, H. Bezine, and A. M. Alimi, 'Fuzzy Logic Control for Grasping 3D Objects with Sliding Contacts,' Proceedings Engineering & Technology, Vol. 2, pp. 116-119, 2013. [12] R. Boughdiri, H. Nasser, H. Bezine, N. K. M'Sirdi, A. M. Alimi, and A. Naamane, 'Dynamic Modeling and Control of a Multi-Fingered Robot Hand for Grasping Task,' Procedia Engineering, Vol. 41, pp. 923-931, 2012. [13] S. P. Chan and H. C. Liaw, 'Generalized impedance control of robot for assembly tasks requiring compliant manipulation,' IEEE Transactions on Industrial Electronics, Vol. 43, No. 4, pp. 453-461, 1996. [14] L. Chang, J. R. Smith, and D. Fox, 'Interactive singulation of objects from a pile,' Proc. of IEEE International Conference on Robotics and Automation, Saint Paul, MN, USA, pp. 3875-3882, 2012. [15] L. Y. Chang, S. S. Srinivasa, and N. S. Pollard, 'Planning pre-grasp manipulation for transport tasks,' Proc. of IEEE International Conference on Robotics and Automation, Anchorage, AK, USA, pp. 2697-2704, 2010. [16] L. Y. Chang, G. J. Zeglin, and N. S. Pollard, 'Preparatory object rotation as a human-inspired grasping strategy,' Proc. of IEEE-RAS International Conference on Humanoid Robots, Daejeon, South Korea, pp. 527-534, 2008. [17] L. P. Chou, Design of Intelligent Robotic Hand, Graduate Insitute of Mechanical Engineering, National Taiwan University, 2009. [18] J. J. Craig, Introduction to Robotics: Mechanics and Control, 3rd Ed, New York, NY, USA: Prentice Hall, 2004. [19] M. Dogar and S. Srinivasa, 'A framework for push-grasping in clutter,' Robotics: Science and Systems VII, pp. 65-72, 2011. [20] M. R. Dogar and S. S. Srinivasa, 'Push-grasping with dexterous hands: Mechanics and a method,' Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, pp. 2123-2130, 2010. [21] A. M. Dollar and R. D. Howe, 'Joint Coupling Design of Underactuated Grippers,' Proc. of International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Philadelphia, Pennsylvania, USA, pp. 903-911, 2006. [22] J. A. Dominguez-Lopez and D. N. Vila-Rosado, 'Hierarchical fuzzy control to ensure stable grasping,' Proc. of Seventh Mexican International Conference on Computer Science, San Luis Potosi, Mexico, pp. 37-43, 2006. [23] C. Eppner and O. Brock, 'Grasping unknown objects by exploiting shape adaptability and environmental constraints,' Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan, pp. 4000-4006, 2013. [24] R. Featherstone and D. Orin, 'Robot dynamics: equations and algorithms,' Proc. of IEEE International Conference on Robotics and Automation, San Francisco, CA, USA, pp. 826-834, 2000. [25] A. Fernandez, J. Gazeau, S. Zeghloul, and S. Lahouar, 'Regrasping objects during manipulation tasks by combining genetic algorithms and finger gaiting,' Meccanica, Vol. 47, No. 4, pp. 939-950, 2012. [26] M. Focchi, T. Boaventura, C. Semini, M. Frigerio, J. Buchli, and D. G. Caldwell, 'Torque-control based compliant actuation of a quadruped robot,' Proc. of International Workshop on Advanced Motion Control, Sarajevo, BiH, pp. 1-6, 2012. [27] M. Gupta, J. Muller, and G. S. Sukhatme, 'Using Manipulation Primitives for Object Sorting in Cluttered Environments,' IEEE Transactions on Automation Science and Engineering, Vol. 12, No. 2, pp. 608-614, 2015. [28] D. Hao, J. Weisz, and P. K. Allen, 'Blind grasping: Stable robotic grasping using tactile feedback and hand kinematics,' Proc. of IEEE International Conference on Robotics and Automation, Shanghai, China, pp. 5917-5922, 2011. [29] N. Hogan, 'Impedance Control: An Approach to Manipulation,' Proc. of American Control Conference, San Diego, CA, USA, pp. 304-313, 1984. [30] A.-C. Huang and M.-C. Chien, Adaptive Control of Robot Manipulators: A Unified Regressor-free Approach, 1st Ed,World Scientific, 2010. [31] B. Huang, S. El-Khoury, M. Li, J. J. Bryson, and A. Billard, 'Learning a Real Time Grasping Strategy,' Proc. of IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, pp. 593-600, 2013. [32] K. Kaneko, K. Harada, and F. Kanehiro, 'Development of Multi-fingered Hand for Life-size Humanoid Robots,' Proc. of IEEE International Conference on Robotics and Automation, Roma, Italy, pp. 913-920, 2007. [33] D. Kappler, L. Y. Chang, N. S. Pollard, T. Asfour, and R. Dillmann, 'Templates for pre-grasp sliding interactions,' Robotics and Autonomous Systems, Vol. 60, No. 3, pp. 411-423, 2012. [34] W. Khalil and E. Dombre, Modeling, identification and control of robots, Kogan Page Science Paper Ed, London: Butterworth-Heinemann, 2004. [35] S. Lee and H. S. Lee, 'Intelligent control of manipulators interacting with an uncertain environment based on generalized impedance,' Proc. of IEEE International Symposium on Intelligent Control, Arlington, VA, USA, pp. 61-66, 1991. [36] S. K. Lin, 'An identification method for estimating the inertia parameters of a manipulator,' Journal of Robotic Systems, Vol. 9, No. 4, pp. 505-528, 1992. [37] S. K. Lin, 'A new composite body method for manipulator dynamics,' Journal of Robotic Systems, Vol. 8, No. 2, pp. 197-219, 1991. [38] H. Liu and G. Hirzinger, 'Joint torque based Cartesian impedance control for the DLR hand,' Proc. of IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Atlanta, GA, USA, pp. 695-700, 1999. [39] H. Liu, K. Wu, P. Meusel, N. Seitz, G. Hirzinger, M. Jin, Y. Liu, S. Fan, T. Lan, and Z. Chen, 'Multisensory five-finger dexterous hand: The DLR/HIT Hand II,' Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, Nice,France, pp. 3692-3697, 2008. [40] K. M. Lynch, 'Toppling manipulation,' Proc. of IEEE International Conference on Robotics and Automation, Detroit, MI, USA, pp. 2551-2557, 1999. [41] K. M. Lynch and M. T. Mason, 'Stable pushing: Mechanics, controllability, and planning,' The International Journal of Robotics Research, Vol. 15, No. 6, pp. 533-556, 1996. [42] M. T. Mason, 'Mechanics and planning of manipulator pushing operations,' The International Journal of Robotics Research, Vol. 5, No. 3, pp. 53-71, 1986. [43] A. Morales, T. Asfour, P. Azad, S. Knoop, and R. Dillmann, 'Integrated Grasp Planning and Visual Object Localization for a Humanoid Robot with Five-fingered Hands,' Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, Beijing, China, pp. 5663-5668, 2006. [44] R. M. Murray, Z. Li, S. S. Sastry, and S. S. Sastry, A Mathematical Introduction to Robotic Manipulation, 1st Ed,CRC press, 1994. [45] Y. Nakamura and H. Hanafusa, 'Inverse Kinematic Solutions With Singularity Robustness for Robot Manipulator Control,' Journal of Dynamic Systems, Measurement, and Control, Vol. 108, No. 3, pp. 163-171, 1986. [46] J. R. Napier, 'The Prehensile Movements of The Human Hand,' Journal of bone and Joint surgery, Vol. 38, No. 4, pp. 902-913, 1956. [47] V.-D. Nguyen, 'Constructing Force-Closure Grasps,' The International Journal of Robotics Research, Vol. 7, No. 3, pp. 3-16, 1988. [48] L. U. Odhner, L. P. Jentoft, M. R. Claffee, N. Corson, Y. Tenzer, R. R. Ma, M. Buehler, R. Kohout, R. D. Howe, and A. M. Dollar, 'A compliant, underactuated hand for robust manipulation,' The International Journal of Robotics Research, Vol. 33, No. 5, pp. 736-752, 2014. [49] C. Ott, A. Albu-Schaffer, A. Kugi, and G. Hirzinger, 'On the Passivity-Based Impedance Control of Flexible Joint Robots,' IEEE Transactions on Robotics, Vol. 24, No. 2, pp. 416-429, 2008. [50] C. Ott, R. Mukherjee, and Y. Nakamura, 'Unified Impedance and Admittance Control,' Proc. of IEEE International Conference on Robotics and Automation, Anchorage, AK, USA, pp. 554-561, 2010. [51] C. Ott and Y. Nakamura, Cartesian impedance control of redundant and flexible-joint robots, 1st Ed, Berlin: Springer, 2008. [52] S. W. Park, J. H. Bae, J. H. Park, and M. H. Baeg, 'Development of an anthropomorphic robot hand aimed at practical use for wide service robot application,' Proc. of IEEE International Conference on Automation Science and Engineering, Seoul, South Korea, pp. 431-435, 2012. [53] A. Peer, S. Einenkel, and M. Buss, 'Multi-fingered telemanipulation - mapping of a human hand to a three finger gripper,' Proc. of IEEE International Symposium on Robot and Human Interactive Communication, Munich, Germany, pp. 465-470, 2008. [54] N. S. Pollard, 'Closure and quality equivalence for efficient synthesis of grasps from examples,' The International Journal of Robotics Research, Vol. 23, No. 6, pp. 595-613, 2004. [55] N. S. Pollard, 'Synthesizing Grasps From Generalized Prototypes,' Proc. of IEEE International Conference on Robotics and Automation, Minneapolis, USA, Vol. 3, pp. 2124-2130, 1996. [56] J. Ponce and B. Faverjon, 'On computing three-finger force-closure grasps of polygonal objects,' IEEE Transactions on Robotics and Automation, Vol. 11, No. 6, pp. 868-881, 1995. [57] J. Ponce, S. Sullivan, A. Sudsang, J.-D. Boissonnat, and J.-P. Merlet, 'On computing four-finger equilibrium and force-closure grasps of polyhedral objects,' The International Journal of Robotics Research, Vol. 16, No. 1, pp. 11-35, 1997. [58] F. Rothling, R. Haschke, J. J. Steil, and H. Ritter, 'Platform portable anthropomorphic grasping with the bielefeld 20-DOF shadow and 9-DOF TUM hand,' Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, CA, USA, pp. 2951-2956, 2007. [59] E. L. Sauser, B. D. Argall, G. Metta, and A. G. Billard, 'Iterative Learning of Grasp Adaptation Through Human Corrections,' Robotics and Autonomous Systems, Vol. 60, No. 1, pp. 55-71, 2012. [60] A. Saxena, J. Driemeyer, and A. Y. Ng, 'Robotic Grasping of Novel Objects Using Vision,' The International Journal of Robotics Research, Vol. 27, No. 2, pp. 157-173, 2008. [61] J. Schill, J. Laaksonen, M. Przybylski, V. Kyrki, T. Asfour, and R. Dillmann, 'Learning continuous grasp stability for a humanoid robot hand based on tactile sensing,' Proc. of IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, Rome, Italy, pp. 1901-1906, 2012. [62] L. Sciavicco and B. Siciliano, Modelling and control of robot manipulators, 1st Ed, Berlin: Springer, 2000. [63] J. Seul, T. C. Hsia, and R. G. Bonitz, 'Force tracking impedance control of robot manipulators under unknown environment,' IEEE Transactions on Control Systems Technology, Vol. 12, No. 3, pp. 474-483, 2004. [64] J. Seul, T. C. Hsia, and R. G. Bonitz, 'On robust impedance force control of robot manipulators,' Proc. of IEEE International Conference on Robotics and Automation, Albuquerque, NM, USA, Vol. 3, pp. 2057-2062 vol.3, 1997. [65] B. Siciliano and O. Khatib, Springer Handbook of Robotics, 1st Ed,,Springer 2008. [66] F. Stulp, E. A. Theodorou, and S. Schaal, 'Reinforcement Learning with Sequences of Motion Primitives for Robust Manipulation,' IEEE Transactions on Robotics, Vol. 28, No. 6, pp. 1360-1370, 2012. [67] R. Tomovic, G. A. Bekey, and W. J. Karplus, 'A Strategy for Grasp Synthesis with Multifingered Robot Hands,' Proc. of IEEE International Conference on Robotics and Automation, Raleigh, NC, USA, Vol. 4, pp. 83-89, 1987. [68] J. T. Wen and S. Murphy, 'Stability analysis of position and force control for robot arms,' IEEE Transactions on Automatic Control, Vol. 36, No. 3, pp. 365-371, 1991. [69] T. Wimboeck, C. Ott, and G. Hirzinger, 'Passivity-based object-level impedance control for a multifingered hand,' Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, Beijing, China, pp. 4621-4627, 2006. [70] J. Xu, M. Y. Wang, H. Wang, and Z. Li, 'Force Analysis of Whole Hand Grasp by Multifingered Robotic Hand,' Proc. of IEEE International Conference on Robotics and Automation Roma, Italy, pp. 211-216, 2007. [71] L. Ying and N. S. Pollard, 'A Shape Matching Algorithm for Synthesizing Humanlike Enveloping Grasps,' Proc. of IEEE-RAS International Conference on Humanoid Robots, Tsukuba, Japan, pp. 442-449, 2005. [72] T. Yoshikawa, 'Multifingered robot hands: Control for grasping and manipulation,' Annual Reviews in Control, Vol. 34, No. 2, pp. 199-208, 2010. [73] T. Zodiac, Theory of robot control, 1st Ed, Berlin: Springer, 1996. [74] 劉宏，姜力, 仿人多指靈巧手及其操作控制, 1st Ed, 北京: 科學出版社, 2010. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/52871 | - |
| dc.description.abstract | 在人類生活的環境中，物體放置的位置會隨著人類的使用習慣有所變動，而物體出現的位置並不總是在可方便拿取的位置，例如：名片放在桌面上，直接用手指攫取名片的方式，並不是一個最有效率的方式。因此，本論文旨在探討如何藉由機器手掌與機器手臂的合作，成功拿取輕薄物體。並透過影像的定位與追蹤，進行拿取物體的前置動作，調整物體在環境中的狀態，來提高拿取物體的成功率。本論文之理論架構主要分為兩個部分：第一部分是經由力量控制來完成拿取薄片的任務，此力量控制的功能在於結合組抗控制的適應性，讓機器手得以適應物體與環境，並在拖曳的過程中，使用模糊控制進行力量的補償，以改善物體可能滑落的情形。第二部分是機器手掌與手臂系統的規劃，針對拿取薄片的任務，建立三個階段的任務規劃，分別是：適應物體、拖曳物體與拿取物體。最後，在已配置機器手掌NTU-Hand V和NTU的六軸機器手臂上，完成拿取輕薄物體等任務，以驗證整個系統的控制與規劃。相信此手掌與手臂系統之發展，可運用到日常生活中，進行抓取及操作物體等任務，展現機器手掌的靈巧性與多工性。 | zh_TW |
| dc.description.abstract | In the environment of human life, object placement may be changed in terms of human use, and the location of an object might not always appear in the most convenient place for reaching a desired grasp. For example, directly reaching and grasping a card located on a desk is not the most efficient way to grasp it. This thesis is aimed to use a robotic hand and arm to grasp a thin object successfully. Through image navigation and tracking, information about the object can be obtained to perform a pre-grasp manipulation to adjust the placement of the object and improve the success rate of the grasp. The thesis is divided into two parts. The first part discusses force control, which takes advantage of impedance control to make the fingers comply with the object and the environment, and fuzzy logic control to manage the force for handling slippage during the sliding manipulation. The second part is focused on the planning of the hand-arm system. It can be established in three stages: preshape adaptation, pre-grasp manipulation, and final grasp. Finally, we perform the task of grasping a thin object with an NTU Hand V and six-DOF NTU Arm to demonstrate the entire planning and control process. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T16:31:37Z (GMT). No. of bitstreams: 1 ntu-104-R02522805-1.pdf: 13370368 bytes, checksum: 0f51991ba8eac1cccecbfd6b306fb647 (MD5) Previous issue date: 2015 | en |
| dc.description.tableofcontents | 致謝 i
摘要 ii Abstract iii List of Tables vii List of Figures viii Chapter 1 Introduction 1 1.1 Motivation 1 1.2 Related Works 3 1.3 Contributions 7 1.4 Framework of the Thesis 9 Chapter 2 Background Knowledge 11 2.1 Introduction 11 2.2 Kinematics 12 2.3 Dynamics 17 2.4 Grasp Analysis 20 2.5 Summary 28 Chapter 3 Force Control Schemes of the Robotic Hand 29 3.1 Introduction 29 3.2 Impedance Control 31 3.3 Fuzzy Logic Control 37 3.4 Control of NTU-Hand V 46 3.5 Summary 51 Chapter 4 Planning and Control of the Hand-Arm System 53 4.1 Introduction 53 4.2 Vision-Based Planning 54 4.2.1 Selection of Finger Contacts 54 4.2.2 Vision Feedback System 62 4.2.3 Visual Servoing 63 4.3 Pre-Grasp Planning 65 4.3.1 Preshape Adaptation 65 4.3.2 Pre-Grasp Manipulation 67 4.3.3 Final Grasp 71 4.4 Planning of the Hand-Arm System 76 4.4.1 Hand-Arm Operation Stage 76 4.4.2 Example: Grasping a Thin Object 79 4.5 Control of the Hand-Arm System 82 4.6 Summary 84 Chapter 5 Simulations 85 5.1 Introduction 85 5.2 Simulation Environment 86 5.3 Simulation Scenarios 90 5.3.1 Pre-Grasp Manipulation with a Slip 90 5.3.2 Pre-Grasp Manipulation with Compensated Force 94 5.4 Summary 100 Chapter 6 Experiments 101 6.1 Integration of the Hardware System 101 6.1.1 Six-DOF Robotic Arm 101 6.1.2 NTU Robotic Hand V 106 6.1.3 Sensors 114 6.2 Real Time Control System 117 6.3 Software System 122 6.4 Experimental Results 123 6.5 Summary 140 Chapter 7 Conclusions and Future Works 141 7.1 Conclusions 141 7.2 Future Works 142 References 145 Appendix A. Parameters of one Finger 151 Appendix B. Dynamics of one Finger 153 | |
| dc.language.iso | en | |
| dc.subject | 機器手 | zh_TW |
| dc.subject | 模糊控制 | zh_TW |
| dc.subject | 預抓握 | zh_TW |
| dc.subject | 拖曳 | zh_TW |
| dc.subject | 手掌手臂系統 | zh_TW |
| dc.subject | 阻抗控制 | zh_TW |
| dc.subject | Hand-Arm System | en |
| dc.subject | Fuzzy Logic Control | en |
| dc.subject | Pre-Grasp | en |
| dc.subject | Sliding | en |
| dc.subject | Robotic Hand | en |
| dc.subject | Impedance Control | en |
| dc.title | 機器手掌抓取薄片物體的策略 | zh_TW |
| dc.title | Strategy of Using a Multi-fingered Hand to Grasp a Thin Object | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 103-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 林錫寬,蔡清元,劉孟昆 | |
| dc.subject.keyword | 機器手,手掌手臂系統,阻抗控制,模糊控制,預抓握,拖曳, | zh_TW |
| dc.subject.keyword | Robotic Hand,Hand-Arm System,Impedance Control,Fuzzy Logic Control,Pre-Grasp,Sliding, | en |
| dc.relation.page | 159 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2015-08-13 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 機械工程學研究所 | zh_TW |
| 顯示於系所單位： | 機械工程學系 | |
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