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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 黃漢邦 | zh_TW |
| dc.contributor.advisor | Han-Pang Huang | en |
| dc.contributor.author | 陳昱采 | zh_TW |
| dc.contributor.author | Yu-Tsai Chen | en |
| dc.date.accessioned | 2021-07-11T15:04:13Z | - |
| dc.date.available | 2024-08-16 | - |
| dc.date.copyright | 2019-08-23 | - |
| dc.date.issued | 2019 | - |
| dc.date.submitted | 2002-01-01 | - |
| dc.identifier.citation | [1] B. Abror, A. R. A. Besari, K. H. A. Subkhan, and D. Pramadihanto, "Trajectory Dancing Modelling of Humanoid Robot Dancing 33 Degree of Freedom," International Electronics Symposium (IES), Denpasar, Indonesia, pp. 340-344, 2016.
[2] B. Abror and D. Pramadihanto, "Dance Motion Pattern Planning for K. Mei as Dancing Humanoid Robot," Proc. of International Conference on Robotics, Biomimetics, and Intelligent Computational Systems (Robionetics), Kuta, Bali, pp. 6-11, 2017. [3] Hrp-4c Miim Dance Demonstration. 2010. AIST. <<https://www.youtube.com/watch?v=LjbyxekEo6s>> [4] P. S. Akhil and A. M. Parimi, "Synchronization of Motion from Multiple Humans and Humanoid Robot Based on Kinect V2," Proc. of International Conference on Industrial and Information Systems (ICIIS), Roorkee, India, pp. 399-403, 2016. [5] K. Ayusawa and E. Yoshida, "Motion Retargeting for Humanoid Robots Based on Simultaneous Morphing Parameter Identification and Motion Optimization," IEEE Transactions on Robotics, Vol. 33, No. 6, pp. 1343-1357, 2017. [6] T. Bi, P. Fankhauser, D. Bellicoso, and M. Hutter, "Real-Time Dance Generation to Music for a Legged Robot," Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, pp. 1038-1044, 2018. [7] S. R. Buss, "Introduction to Inverse Kinematics with Jacobian Transpose, Pseudoinverse and Damped Least Squares Methods," IEEE Journal of Robotics and Automation, Vol. 17, No. 1-19, pp. 16, 2004. [8] J. H. Chen, "Optimal Contact Wrench Controller for Humanoid Robots Based on Floating Base Kinematics," Master Thesis, Department of Mechanical Engineering, National Taiwan University, 2016. [9] R. Cisneros, S. i. Nakaoka, M. Morisawa, K. Kaneko, S. Kajita, T. Sakaguchi, and F. Kanehiro, "Effective Teleoperated Manipulation for Humanoid Robots in Partially Unknown Real Environments: Team Aist-Nedo’s Approach for Performing the Plug Task During the Drc Finals," Advanced Robotics, Vol. 30, No. 24, pp. 1544-1558, 2016. [10] R. Elbasiony and W. Gomaa, "Humanoids Skill Learning Based on Real-Time Human Motion Imitation Using Kinect," Intelligent Service Robotics, Vol. 11, No. 2, pp. 149-169, April, 2018. [11] H. Fadli, C. Machbub, and E. Hidayat, "Human Gesture Imitation on Nao Humanoid Robot Using Kinect Based on Inverse Kinematics Method," Proc. of International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA), Batu-Malang, Indonesia, pp. 116-120, 2017. [12] L. Geppert, "Qrio, the Robot That Could," IEEE Spectrum, Vol. 41, No. 5, pp. 34-37, 2004. [13] C. Hong, Z. Chen, J. Zhu, and X. Zhang, "Interactive Humanoid Robot Arm Imitation System Using Human Upper Limb Motion Tracking," Proc. of IEEE International Conference on Robotics and Biomimetics (ROBIO), Macau, China, pp. 2746-2751, 2017. [14] Y. Hong and B. Lee, "Evolutionary Optimization for Optimal Hopping of Humanoid Robots," IEEE Transactions on Industrial Electronics, Vol. 64, No. 2, pp. 1279-1283, 2017. [15] H. P. Huang, J. L. Yan, and T. H. Cheng, "State-Incremental Optimal Control of 3d Cog Pattern Generation for Humanoid Robots," Advanced Robotics, Vol. 27, No. 3, pp. 175-188, 2013. [16] Audio Signal Processing and Recognition. 2005. R. Jang. <<http://mirlab.org/jang/books/audioSignalProcessing/>> [17] Tutorial on Music Genre Classification. 2016. R. Jang. <<http://mirlab.org/jang/books/audioSignalProcessing/appNote/musicGenreClassification/html/goTutorial.html?title=21-7%20Music%20genre%20classification>> [18] R. E. Kalman, "A New Approach to Linear Filtering and Prediction Problems," Journal of Basic Engineering, Vol. 82, No. 1, pp. 35-45, 1960. [19] K. Kaneko, F. Kanehiro, M. Morisawa, T. Tsuji, K. Miura, S. Nakaoka, S. Kajita, and K. Yokoi, "Hardware Improvement of Cybernetic Human Hrp-4c for Entertainment Use," Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, CA, USA, pp. 4392-4399, 2011. [20] S. Kim, C. Kim, and J. H. Park, "Human-Like Arm Motion Generation for Humanoid Robots Using Motion Capture Database," Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, Beijing, China, pp. 3486-3491, 2006. [21] N. Kofinas, E. Orfanoudakis, and M. G. Lagoudakis, "Complete Analytical Forward and Inverse Kinematics for the Nao Humanoid Robot," Journal of Intelligent & Robotic Systems, Vol. 77, No. 2, pp. 251-264, 2015/02/01, 2015. [22] Y. Kondo, S. Yamamoto, and Y. Takahashi, "Real-Time Posture Imitation of Biped Humanoid Robot Based on Particle Filter with Simple Joint Control for Standing Stabilization," Proc. of International Conference on Soft Computing and Intelligent Systems (SCIS), Sapporo, Hokkaido, Japan, pp. 130-135, 2016. [23] S. y. Kotosaka and S. Schaal, "Synchronized Robot Drumming by Neural Oscillator," Journal of the Robotics Society of Japan, Vol. 19, No. 1, pp. 116-123, 2001. [24] T. Krzysztof, "Optimal Extended Jacobian Inverse Kinematics Algorithms for Robotic Manipulators," IEEE Transactions on Robotics, Vol. 24, No. 6, pp. 1440-1445, 2008. [25] Q. Li, A. Takanishi, and I. Kato, "A Biped Walking Robot Having a Zmp Measurement System Using Universal Force-Moment Sensors," Proc. of IROS'91. IEEE/RSJ International Workshop on Intelligent Robots and Systems Osaka, Japan, pp. 1568-1573, 1991. [26] S. Y. Lo, "Visually-Guided Control for Safe Human-Robot Interaction," Doctoral Dissertation, Department of Mechanical Engineering, National Taiwan University, 2016. [27] M. Mistry, J. Nakanishi, G. Cheng, and S. Schaal, "Inverse Kinematics with Floating Base and Constraints for Full Body Humanoid Robot Control," Proc. of IEEE-RAS International Conference, Nice, France, pp. 22-27, 2008. [28] Nasa Space Robotics Challenge Overview. NASA. Retrieved 29 May, 2016, <<https://www.nasa.gov/sites/default/files/atoms/files/fs_space_robotics_150908.pdf>> [29] D. Pongas, A. Billard, and S. Schaal, "Rapid Synchronization and Accurate Phase-Locking of Rhythmic Motor Primitives," Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, Edmonton, Alta., Canada, pp. 2911-2916, 2005. [30] S. K. Saha, "A Unified Approach to Space Robot Kinematics," IEEE Transactions on Robotics and Automation, Vol. 12, No. 3, pp. 401-405, 1996. [31] P. Salaris, N. Abe, and J. Laumond, "Robot Choreography: The Use of the Kinetography Laban System to Notate Robot Action and Motion," IEEE Robotics & Automation Magazine, Vol. 24, No. 3, pp. 30-40, 2017. [32] C. B. Santiago, J. L. Oliveira, L. P. Reis, and A. Sousa, "Autonomous Robot Dancing Synchronized to Musical Rhythmic Stimuli," Proc. of Iberian Conference on Information Systems and Technologies Chaves, Portugal, pp. 1-6, 2011. [33] A. Schöllig, F. Augugliaro, S. Lupashin, and R. D. Andrea, "Synchronizing the Motion of a Quadrocopter to Music," Proc. of IEEE International Conference on Robotics and Automation, Anchorage, Alaska, pp. 3355-3360, 2010. [34] L. Sentis and O. Khatib, "A Whole-Body Control Framework for Humanoids Operating in Human Environments," Proc. of IEEE International Conference on Robotics and Automation, Orlando, FL, USA, pp. 2641-2648, 2006. [35] P. Shahverdi and M. T. Masouleh, "A Simple and Fast Geometric Kinematic Solution for Imitation of Human Arms by a Nao Humanoid Robot," Proc. of International Conference on Robotics and Mechatronics (ICROM), Tehran, Iran, pp. 572-577, 2016. [36] R. Terasawa, S. Noda, K. Kojima, R. Koyama, F. Sugai, S. Nozawa, Y. Kakiuchi, K. Okada, and M. Inaba, "Achievement of Dynamic Tennis Swing Motion by Offline Motion Planning and Online Trajectory Modification Based on Optimization with a Humanoid Robot," Proc. of IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), Cancun, Mexico, pp. 1094-1100, 2016. [37] G. Tzanetakis and P. Cook, "Musical Genre Classification of Audio Signals," IEEE Transactions on Speech and Audio Processing, Vol. 10, No. 5, pp. 293-302, 2002. [38] M. Vukobratović, B. Borovac, and V. Potkonjak, "Zmp: A Review of Some Basic Misunderstandings," International Journal of Humanoid Robotics, Vol. 3, No. 02, pp. 153-175, 2006. [39] M. Vukobratović and B. Borovac, "Zero-Moment Point—Thirty Five Years of Its Life," International journal of humanoid robotics, Vol. 1, No. 01, pp. 157-173, 2004. [40] Y. H. Wang, "Synchronized Leg-Arm Motion Planning and Whole-Body Momentum Control for Humanoid Robots," Master Thesis, Department of Mechanical Engineering, National Taiwan University, 2018. [41] X. Xinjilefu, S. Feng, and C. G. Atkeson, "Center of Mass Estimator for Humanoids and Its Application in Modelling Error Compensation, Fall Detection and Prevention," Proc. of IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids), Seoul, South Korea, pp. 67-73, 2015. [42] K. Yoshii, K. Nakadai, T. Torii, Y. Hasegawa, H. Tsujino, K. Komatani, T. Ogata, and H. G. Okuno, "A Biped Robot That Keeps Steps in Time with Musical Beats While Listening to Music with Its Own Ears," Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, California, USA, pp. 1743-1750, 2007. [43] N. Yuya, S. Takashi, and I. Kazuo, "Jacobian Matrix Derived from Cross Product and Its Application into High Power Joint Mechanism Analysis," Journal of Bionic Engineering, Vol. 7, pp. S218-S223, 2010. [44] M. Zhu, L. Xia, and J. Su, "Real-Time Imitation Framework for Humanoid Robots Based on Posture Classification," Proc. of International Conference on Machine Learning and Cybernetics (ICMLC), Jeju, South Korea, Vol. 2, pp. 489-494, 2016. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/78563 | - |
| dc.description.abstract | 針對人形機器人之娛樂性的應用，本論文提出藉由輸入之音樂種類與其節拍，搭配動作資料庫，使人形機器人有流暢舞蹈動作的軌跡規劃。人形機器人由於擁有似人的外表，在應用上更能貼近人類的行為與生活環境，除了任務性的需求以外，娛樂性也是人形機器人的應用之一，在進行舞蹈動作時，人形機器人要如何有穩定且平滑的軌跡，且能夠搭配音樂的節拍與種類，為本論文主要目的。
在輸入音樂後，會針對種類與節拍作分析，種類會對應到符合的動作資料庫，節拍則會影響軌跡的生成，因此在建立動作資料庫時會需要找出關鍵的通過點，將這些通過點紀錄成一連串的特徵點，藉由特徵點間的時間差異作符合節拍的軌跡規劃，在動作與動作之間也藉由特徵點來作平滑的連接，在產生平滑軌跡後，讓人形機器人達到表演的能力。 | zh_TW |
| dc.description.abstract | Considering the entertainment potential of humanoid robots, we propose a concept of music analysis with a movement database to generate smooth dancing trajectories. Be-cause the robots have an anthropomorphic appearance, they can be similar to human beings in behavior or environment. Other than the task-based needs, entertainment is one of the most popular applications for humanoid robot. The purpose of this thesis is to discover how to achieve stable and smooth trajectories, while considering the beat and the genre of music when dancing.
After the music input, music genre classification and beat tracking are executed. Genre classification allows choosing the movements from database accordingly. Furthermore, beat tracking will affect the generation of the trajectory. Therefore, while building the database of movements, it is crucial to find the key points of movements. Afterwards, these key points are saved as feature points to be used for trajectory planning to match the beat. The connections between chains of stored movements are also based on the trajectory planning by feature points. Moreover, the balance of the humanoid robot is significant for a stable performance. | en |
| dc.description.provenance | Made available in DSpace on 2021-07-11T15:04:13Z (GMT). No. of bitstreams: 1 ntu-108-R06522812-1.pdf: 6637572 bytes, checksum: b5544d772051e0b3a39ddfd21b3c5957 (MD5) Previous issue date: 2019 | en |
| dc.description.tableofcontents | 誌謝 vii
摘要 i Abstract iii List of Figures vii List of Tables ix Nomenclature xi Chapter 1 Introduction 1 1.1 Motivations 1 1.2 Contributions 2 1.3 Organization 4 Chapter 2 Humanoid Robot System 7 2.1 Pattern Generation 7 2.1.1 Dynamic model of biped robots 7 2.1.2 Linear Quadratic State-Incremental Control 10 2.2 Floating based Kinematics 12 2.3 Summary 16 Chapter 3 Music Analysis 19 3.1 Music Genre Classification 20 3.2 Beat tracking 27 3.3 Summary 28 Chapter 4 Movement Operation 31 4.1 Database Establishment 32 4.1.1 Imitation System 32 4.1.2 Similarity 41 4.2 Feature Points of Movement 42 4.3 Trajectory Planning 44 4.4 Movement Sequence Arrangement 47 4.4.1 Objective function 48 4.5 Summary 49 Chapter 5 Simulations and Experiments 51 5.1 Simulation Environment 51 5.2 Specification of the NTU Humanoid Robot 52 5.3 Simulation Scenarios and Results 53 5.4 Experiment Scenarios and Results 57 5.5 Summary 70 Chapter 6 Conclusions and Future Works 71 6.1 Conclusions 71 6.2 Future Works 72 References 75 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 人形機器人 | zh_TW |
| dc.subject | 曲風分類 | zh_TW |
| dc.subject | 節拍追蹤 | zh_TW |
| dc.subject | 平滑軌跡 | zh_TW |
| dc.subject | 最佳化 | zh_TW |
| dc.subject | Beat Tracking | en |
| dc.subject | Humanoid Robot | en |
| dc.subject | Music Genre Classification | en |
| dc.subject | Optimization | en |
| dc.subject | Smooth Trajectory | en |
| dc.title | 基於音樂分析之人形機器人的平滑動作規劃 | zh_TW |
| dc.title | Smooth Movement Sequence Generation Based on Music Analysis for Humanoid Robots | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 107-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 程啟正;蔡清元;李祖聖 | zh_TW |
| dc.contributor.oralexamcommittee | Chi-Cheng Cheng;Tsing-Iuan Tsay;Tzuu-Hseng Li | en |
| dc.subject.keyword | 人形機器人,曲風分類,節拍追蹤,平滑軌跡,最佳化, | zh_TW |
| dc.subject.keyword | Humanoid Robot,Music Genre Classification,Beat Tracking,Smooth Trajectory,Optimization, | en |
| dc.relation.page | 79 | - |
| dc.identifier.doi | 10.6342/NTU201903771 | - |
| dc.rights.note | 未授權 | - |
| dc.date.accepted | 2019-08-16 | - |
| dc.contributor.author-college | 工學院 | - |
| dc.contributor.author-dept | 機械工程學系 | - |
| 顯示於系所單位： | 機械工程學系 | |
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