簡易檢索 / 詳目顯示
| 研究生： |
洪權甫 HUNG, Chuan-Fu |
|---|---|
| 論文名稱： |
藉由物件偵測與多動作識別之機器人演示學習系統 Robot Learning from Demonstration System using Object Detection and Multi-Action Recognition |
| 指導教授： |
王偉彥
Wang, Wei-Yen |
| 口試委員： |
王坤卿
Wang, Kun-Ching 陳翔傑 Chen, Hsiang-Chieh 王偉彥 Wang, Wei-Yen 蔣欣翰 Chiang, Hsin-Han |
| 口試日期： | 2022/01/06 |
| 學位類別： |
碩士 Master |
| 系所名稱： |
電機工程學系 Department of Electrical Engineering |
| 論文出版年： | 2022 |
| 畢業學年度： | 110 |
| 語文別： | 中文 |
| 論文頁數： | 50 |
| 中文關鍵詞： | 演示學習 、基於聚類分析的動作辨識法 、基於鏈接向量和虛擬關節的幾何分析 、機器人雙手臂即時模仿演示者架構 、控制導向之單攝影機測距 |
| 英文關鍵詞： | learning from demonstration (LfD), action recognition method based on cluster analysis, geometrical analysis based on link vectors and virtual joints (GA-LLVJ), real-time motion following with dual arm, control-guided single-camera ranging |
| 研究方法: | 實驗設計法 |
| DOI URL： | http://doi.org/10.6345/NTNU202200224 |
| 論文種類： | 學術論文 |
| 相關次數： | 點閱：94 下載：0 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
[1] P.-J. Hwang, C.-C. Hsu and W.-Y. Wang, "Development of a Mimic Robot—Learning From Demonstration Incorporating Object Detection and Multiaction Recognition," IEEE Consumer Electronics Magazine, vol. 9, no. 3, pp. 79-87, 2020.
[2] B. D. Argall, S. Chernova, M. Veloso and B. Browning, "A survey of robot learning from demonstration," Robotics and Autonomous Systems, vol. 57, no. 5, pp. 469-483, 2009.
[3] J. Redmon and A. Farhadi, "YOLOv3: An Incremental Improvement," arXiv, 2018.
[4] A. Z. Joao Carreira, "Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[5] Z. Zhang, Y. Niu, Z. Yan and S. Lin, "Real-Time Whole-Body Imitation by Humanoid Robots and Task-Oriented Teleoperation Using an Analytical Mapping Method and Quantitative Evaluation," Applied Sciences, vol. 8, no. 10, p. 2005, 22 October 2018.
[6] Robotis, "Robotis," Robotis, [Online]. Available: https://www.robotis.com/.
[7] "Kinect for Windows SDK 2.0," Microsoft, 2014. [Online]. Available: https://www.microsoft.com/en-us/download/details.aspx?id=44561. [Accessed 29 12 2021].
[8] A. Mobini, S. Behzadipour and M. S. Foumani, "Accuracy of Kinect’s skeleton tracking for upper body rehabilitation applications," Disability and Rehabilitation: Assistive Technology, vol. 9, no. 4, pp. 344-352, 2014.
[9] Q. Wang, G. Kurillo, F. Ofli and R. Bajcsy, "Evaluation of Pose Tracking Accuracy in the First and Second Generations of Microsoft Kinect," in 2015 International Conference on Healthcare Informatics, Dallas, TX, USA, 2015.
[10] zeFrenchy, "stack overflow," [Online]. Available: https://i.stack.imgur.com/LPlP3.png.
[11] "Coordinate mapping," Microsoft, 21 10 2014. [Online]. Available: https://docs.microsoft.com/en-us/previous-versions/windows/kinect/dn785530(v=ieb.10). [Accessed 29 12 2021].
[12] F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher and P, "Scikit-learn: Machine Learning in Python," Journal of Machine Learning Research, vol. 12, pp. 2825-2830, 2011.
[13] M. Muja and D. G. Lowe, "Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration," International Conference on Computer Vision Theory and Applications (VISAPP’09), pp. 331-340, 2009.
[14] M. Muja and D. Lowe, FLANN-Fast Library for Approximate Nearest Neighbors User Manual, Vancouver, BC, Canada: Computer Science Department, University of British Columbia, 2009.
電子全文延後公開2027/02/08