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| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 羅仁權(Ren C. Luo) | |
| dc.contributor.author | Ming Hsiao | en |
| dc.contributor.author | 蕭明 | zh_TW |
| dc.date.accessioned | 2021-06-16T16:06:35Z | - |
| dc.date.available | 2014-06-21 | |
| dc.date.copyright | 2013-06-21 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-06-14 | |
| dc.identifier.citation | [1] N. Li, S. Ma, B. Li, M. Wang, and Y. Wang, “An online stair-climbing control method for a transformable tracked robot,” IEEE International Conference on Robotics and Automation (ICRA), 2012.
[2] S. Yu, T. Wang, Y. Wang, D. Zhi, C. Yao, X. Li, Z. Wang, Y. Luo, and Z. Wang, “A tip-over and slippage stability criterion for stair-climbing of a wheelchair robot with variable geometry single tracked mechanism,” International Conference on Information and Automation (ICIA), 2012. [3] Y. Sugahara, N. Yonezawa, and K. Kosuge, “A novel stair-climbing wheelchair with transformable wheeled four-bar linkages,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2010. [4] S.-C. Chen, K. J. Huang, C.-H. Li, and P.-C. Lin, “Trajectory planning for stair climbing in the leg-wheel hybrid mobile robot quattroped,” IEEE International Conference on Robotics and Automation (ICRA), 2011. [5] T. Yamamoto, F. Takemori, and R. Itakura, “Development of stair locomotive wheelchair with adjustable wheelbase,” Proceedings of SICE Annual Conference (SICE), 2012. [6] P. Michel, J. Chestnut, S. Kagami, K. Nishiwaki, J. Kuffner, and T. Kanade, “GPU-accelerated real-time 3D tracking for humanoid locomotion and stair climbing,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2007. [7] C. Fu and K. Chen, “Gait synthesis and sensory control of stair climbing for a humanoid robot,” IEEE Transactions on Industrial Electronics, 2008. [8] T. Sato, S. Sakaino, E. Ohashi, and K. Ohnishi, “Walking trajectory planning on stairs using virtual slope for biped robots,” IEEE Transactions on Industrial Electronics, 2011. [9] K. Mitobe, S. Kaneko, T. Oka, Y. Nasu, and G. Capi, “Control of legged robots during the multi supported phase based on the locally defined ZMP” IEEE/RSJ International Conference on Intelligent Robots and systems (IROS), 2004. [10] J. Pratt, J. Carff, S. Drakunov, and A. Goswami, “Capture point: a step toward humanoid push recovery,” IEEE-RAS International Conference on Humanoid Robots, 2006. [11] Segway Inc. (2013). The Segway PT: An Overview [Online]. Available: http://www.segway.com/about-segway/learn-how-PTs-work.php [12] Construction law in Taiwan. General building code [Online]. Available: http://civil.njtc.edu.tw/weng/ConstructionLaw/textbook/ch5_general_building_design_code.htm [13] E. Rosten, R. Porter, and T. Drummond, “Faster and better: a machine learning approach to corner detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010. [14] C. Harris and M. Stephens, “A combined corner and edge detector,” Proceedings of the 4th Alvey Vision Conference, 1988 [15] S. M. Smith and J. M. Brady, “SUSAN—a new approach to low level image processing,” International Journal of Computer Vision, 1997. [16] D. G. Lowe, “Object recognition from local scale-invariant features,” The Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999. [17] H. Bay, A. Ess, T. Tuytelaars, and L. V. Gool, “SURF: speeded up robust features,” Computer Vision and Image Understanding (CVIU), 2008. [18] N. Dalal and B. Triggs, “Histograms of oriented gradients for human detection,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2005. [19] J. L. Blanco, “Derivation and implementation of a full 6D EKF-based solution to bearing-range SLAM,” University of Malaga, Spain, Technical Report, 2008. [20] R. C. Luo, K. Y. Chen, and M. Hsiao, “Visual simultaneous localization and mapping using stereo vision with human body elimination for service robotics,” 2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2012. [21] J. Lim, “Optimized projection pattern supplementing stereo systems,” IEEE International Conference on Robotics and Automation (ICRA), 2009. [22] R. R. Garcia and A. Zakhor, “Consistent stereo-assisted absolute phase unwrapping methods for structured light systems,” IEEE Journal of Selected Topics in Signal Processing, 2012. [23] R. C. Luo, M. Hsiao, and Cheng-Hsun Xie, “Sensor fusion based vSLAM system for 3D environment grid map construction,” IEEE International Symposium on Industrial Electronics (ISIE), 2013. [24] J. Smisek, M. Jancosek, and T. Pajdla, “3D with Kinect,” IEEE International Conference on Computer Vision Workshops, 2011. [25] L. Tao, U. Castellani, A. Fusiello, and V. Murino, “3D acoustic image segmentation by a RANSAC-based approach,” OCEANS, 2003. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/62652 | - |
| dc.description.abstract | 隨著科技的發展,服務型機器人將漸漸進入我們的日常生活中。為了能在室內環境幫人們工作,服務型機器人必須具備在不同室內地形之間移動的能力。因此,本論文的目的在於研發一個以服務應用為目標並具備爬樓梯功能的室內行動機器人系統。
爬樓梯一直是機器人領域中的熱門主題,因此履帶型、輪腿型、或是人形等各種爬樓梯機構都已被研發出來。然而,對於室內服務型機器人執行跨樓層的任務來說,許多需求或限制是現存的爬樓梯機器人無法達成的。舉例來說,服務型機器人最好有與人類相近的身高,才好跟人們自然地互動。且為了能在室內環境順暢地四處移動,機器人的佔地面積應該要小且機動性高。不幸的是,履帶型爬樓梯機器人通常都平躺在地面上,而那些輪腿型爬樓梯機器人比起基本的差速輪平台來說,也沒有小的佔地面積或是好的機動性。人形機器人或許是好的解決方案,但是他們太過於複雜且穩定性有疑慮。因此,我們朝向此需求設計了一台擁有適當移動方式和控制策略的行動機器人來達成所有服務型機器人爬樓梯的需求。 我們設計的這台機器人有許多優點。高重心的設計、接近地面的傾斜轉軸、以及三角形的輪腿結構使得這台機器人可以用動態且自我平衡的方式來爬樓梯。三角形的輪腿機構也保留了差速輪移動平台在平地上行動的優點,例如控制簡單、節省能量、以及能夠原地旋轉等。而且,整體的機構設計符合服務型機器人適當高度以及相對的占地面積的需求較小,使得人機互動更加自然舒適。因為室內3D感測與控制系統的整合都十分完善,我們成功的展示爬樓梯的功能並證明我們的設計與實作是可行且有效率的。 | zh_TW |
| dc.description.abstract | With the development of technology, service robots will gradually come into our daily life. To work for people in indoor environment, service robots must have the ability to move across various indoor terrains and cope with different indoor environment. As a result, the purpose of this thesis is to develop an indoor mobile robot system with focus on stair climbing ability for service applications.
Since stair climbing is always a hot topic in robotics, various stair-climbing mechanisms, such as track-based, wheel-legged, or humanoid solutions, are developed. However, for indoor service robots to perform tasks across floors, there are some requirements or limitations that those existed robot platforms cannot match. For example, to interact with human naturally, it is better for a service robot to have similar height as humans. And to move around indoor environment smoothly, the robot should have small footprint and high mobility. Unfortunately, those track-based stair-climbing robots usually lie on the floor, and the wheel-legged stair-climbing robots do not have small footprint or good mobility comparing to basic differential-wheeled platforms. Humanoid robots may be good solutions, but they are too complicated and stability is a concern. As a result, we design a mobile robot with proper locomotion and control strategy to meet all the requirements for stair-climbing service robots. There are several advantages of our robot. The design of high center of mass, tilt axis near ground, and the triangular wheel-legged structure enable the robot to climb stairs in a dynamic and self-balancing way. The triangular-shaped wheel-legged mechanism also keep the advantages of differential-wheeled mobile platforms when moving on flat ground, such as easy to control, saving power, and zero turning radius. Moreover, the overall mechanical design fits the requirements for a service robot to have proper height and small footprint, which can make human-robot interaction more natural and comfortable. Since the 3D perceptual and control system of the robot are both well integrated, we successfully demonstrate the stair-climbing function and prove that the design and implementation of our work are feasible and efficient. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T16:06:35Z (GMT). No. of bitstreams: 1 ntu-102-R00921004-1.pdf: 3752139 bytes, checksum: d3b2e634bdea4f008545cc4d959c0c0e (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | 誌謝 I
中文摘要 II ABSTRACT III TABLE OF CONTENTS V LIST OF FIGURES VII LIST OF TABLES IX CHAPTER 1 INTRODUCTION 1 1.1 ERA OF ROBOT 1 1.2 MOTIVATION AND OBJECTIVES 2 1.3 THESIS ORGANIZATION 3 CHAPTER 2 BACKGROUND AND CONCEPTS 5 2.1 SOLUTIONS OF STAIR CLIMBING ROBOTS 5 2.1.1 Mechanisms of Stair Climbing Robots 5 2.1.2 Perception and Control of Stair Climbing Robots 6 2.2 SOLUTIONS OF INDOOR SERVICE ROBOTS 6 2.2.1 Mobility Issue 6 2.2.2 Human Robot Interaction (HRI) 7 2.2.3 Other Requirements 7 2.3 COMBINATION AND DESIGN CONCEPTS 7 CHAPTER 3 LOCOMOTION PRINCIPLES 9 3.1 CONCEPT OF STAIR CLIMBING LOCOMOTION 9 3.2 DYNAMIC ANALYSIS 10 3.2.1 Planar Inverted Pendulum Model 10 3.2.2 Virtual Slope and Virtual Zero Moment Point 11 3.2.3 Capture Point 12 3.2.4 Constraints and Discussions 13 3.3 SIMULATION 13 CHAPTER 4 MECHANISM DESIGN 15 4.1 GENERAL STRUCTURE 15 4.2 RULES AND LIMITATIONS 16 4.3 TRANSMISSION SYSTEM 18 4.4 SPRING ASSEMBLIES 18 CHAPTER 5 INDOOR 3D PERCEPTION 20 5.1 STEREO CAMERA 20 5.1.1 vSLAM with Human Body Elimination 22 5.1.2 3D Grid Map Construction with Sonar 24 5.2 KINECT 28 5.2.1 Indoor Object Segmentation 30 5.2.2 Stair Recognition and Measurement 34 5.3 COMPARISON 42 CHAPTER 6 ELECTRICAL SYSTEM INTEGRATION 43 6.1 MOTOR ASSEMBLIES 43 6.2 SENSOR DEVICES 44 6.2.1 Inertial Measurement Unit (IMU) 44 6.2.2 Kinect 45 6.3 POWER AND CIRCUITS 45 CHAPTER 7 SENSOR FEEDBACK CONTROL STRATEGIES 47 7.1 MULTISENSOR PERCEPTION 47 7.2 TRAVELING ON FLAT GROUND 47 7.2.1 Moving Forward and Backward 48 7.2.2 Turning with zero radius 48 7.3 CLIMBING STAIRS 49 7.4 SOMATOSENSORY CONTROL OF HUMAN RIDER 50 CHAPTER 8 EXPERIMENTAL RESULTS 51 8.1 PROCEDURES 51 8.2 RESULTS 51 8.3 DISCUSSIONS 54 CHAPTER 9 CONCLUSIONS AND CONTRIBUTIONS 56 9.1 CONCLUSIONS AND CONTRIBUTIONS 56 9.2 FUTURE WORKS 57 REFERENCES 58 VITA 61 | |
| dc.language.iso | en | |
| dc.subject | 爬樓梯機器人 | zh_TW |
| dc.subject | 輪腿型機構 | zh_TW |
| dc.subject | 服務型機器人 | zh_TW |
| dc.subject | 室內3D感測 | zh_TW |
| dc.subject | 系統設計整合 | zh_TW |
| dc.subject | service robot | en |
| dc.subject | wheel-legged mechanism | en |
| dc.subject | system design and integration | en |
| dc.subject | indoor 3D perception | en |
| dc.subject | stair climbing robot | en |
| dc.title | 結合多感測器之直立式全自動爬樓梯與室內服務應用機器人 | zh_TW |
| dc.title | Multisensor Integrated Autonomous Mobile Robot with Erect Stair Climbing and Indoor Service Applications | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張帆人(Fan-ren Chang),黃國勝(Kao-Shing Hwang) | |
| dc.subject.keyword | 爬樓梯機器人,輪腿型機構,服務型機器人,室內3D感測,系統設計整合, | zh_TW |
| dc.subject.keyword | stair climbing robot,wheel-legged mechanism,service robot,indoor 3D perception,system design and integration, | en |
| dc.relation.page | 61 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2013-06-14 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
| Appears in Collections: | 電機工程學系 | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| ntu-102-1.pdf Restricted Access | 3.66 MB | Adobe PDF |
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