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Mobile robot transportation for multiple labware with hybrid pose correction in life science laboratories

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In automated working environments, mobile robots can be used for different purposes such as material handling, domestic services, and objects transportation. This work presents a transportation process for multiple labware with hybrid pose correction in life science laboratories using H20 mobile robots. Multiple labware and tube racks, which contain chemical and biological components, have to be transported safely between laboratories on different floors of life science environment. Therefore, an accurate approach for labware transportation is required. The H20 robot has dual arms each consisting of 6 revolute joints with 6-DOF. The problem statement of robot positioning error in front of the workstation is presented. The navigation strategy with its related systems is presented for multi-floor mobile robot transportation environment. A Stargazer module is used as a stable and low-cost mapping and localization sensor with artificial landmarks. An error management system to overcome incorrect stargazer reading problems is presented. Different strategies of pose correction for mobile robots are described. The H20 robot is equipped with sonar sensors and Kinect V2 to be used for labware manipulation and position correction. The Kinect sensor V2 with SURF algorithm (Speeded-Up Robust Features) is used to recognize and localize the target. The communication procedure between the transportation platforms is done using client-server models.
Twórcy
autor
  • Center for Life Science Automation (celisca), University of Rostock, Rostock 18119, Germany
  • with 1- Center for Life Science Automation (Celisca), University of Rostock, Rostock 18119, Germany. 2- College of Engineering, University of Mosul, Mosul, Iraq.
autor
  • Institute of Automation, University of Rostock, Rostock 18119, Germany
autor
  • Center for Life Science Automation (celisca), University of Rostock, Rostock 18119, Germany
Bibliografia
  • [1] H. Chung, C. Hou, Y. Chen, and C. Chao, “An intelligent service robot for transporting object.” In: IEEE International Symposium on Industrial Electronics (ISIE), Taipei, Taiwan, 2013, 1–6. DOI: 10.1109/ISIE.2013.6563645.
  • [2] M. Ciocarlie, K. Hsiao, E. G. Jones, S. Chitta, R. B. Rusu, I. A. Şucan, “Towards reliable grasping and manipulation in household environments.” In: 12th International Symposium on Experimental Robotics (ISER), Springer Berlin Heidelberg, 2014, 241–252. DOI: 10.1007/978-3-642-28572-1_17.
  • [3] R. O’Flaherty, P. Vieira, M. X. Grey, P. Oh, A. Bobick, M. Egerstedt, M. Stilman, “Humanoid robot teleoperation for tasks with power tools.” In: IEEE International Conference on Technologies for Practical Robot Applications, Woburn, MA, 2013, 1–6. DOI: 10.1109/TePRA.2013.6556362.
  • [4] T. J. Tsay, M. S. Hsu, R. X. Lin, “Development of a mobile robot for visually guided handling of material.” In: IEEE International Conference on Robotics and Automation (ICRA), Taipei, Taiwan, 2003, 3397–3402.
  • [5] A. A. Abdulla, H. Liu, N. Stoll, K. Thurow, “A New Robust Method for Mobile Robot Multifloor Navigation in Distributed Life Science Laboratories”, J. Control Sci. Eng., vol. 2016, Jul. DOI: 10.1155/2016/3589395.
  • [6] M. M. Ali, H. Liu, R. Stoll, K. Thurow, “Arm Grasping for Mobile Robot Transportation using Kinect sensor and Kinematic Analysis.” In: IEEE International Conference on Instrumentation and Measurement Technology (I2MTC), Pisa, Italy, 2015, 516–521. DOI: 10.1109/I2MTC.2015.7151321.
  • [7] Borenstein, H. R. Everett, L. Feng, “Where am I? Sensors and methods for mobile robot positioning,” University of Michigan, USA, vol. 119, no. 120, 1996.
  • [8] Borenstein, “The CLAPPER: A dual-drive mobile robot with internal correction of dead-reckoning errors.” In: IEEE International Conference on Robotics and Automation, San Diego, CA, 1994, 3085–3090. DOI: 10.1109/ROBOT.1994.351095.
  • [9] H. Liu, N. Stoll, S. Junginger, K. Thurow, “Mobile robotic transportation in laboratory automation: Multi-robot control, robot-door integration and robot-human interaction.” In: IEEE International Conference on Robotics and Biomimetics (ROBIO), Bali, Indonesia, 2014, 1033–1038.
  • [10] A. A. Abdulla, H. Liu, N. Stoll, K. Thurow, “A Robust Method for Elevator Operation in Semioutdoor Environment for Mobile Robot Transportation System in Life Science Laboratories.” In: IEEE International Conference on Intelligent Engineering Systems (INES), Budapest, Hungary, 2016, 45–50.
  • [11] A. A. Abdulla, H. Liu, N. Stoll, K. Thurow, “An automated elevator management and multi-floor estimation for indoor mobile robot transportation based on a pressure sensor.” In: IEEE International Conference on Mechatronics (MEHATRONIKA), Prague, Czech Republic, 2016, 1–7.
  • [12] A. A. Abdulla, H. Liu, N. Stoll, K. Thurow, “A Backbone- Floyd Hybrid Path Planning Method for Mobile Robot Transportation in Multi-Floor Life Science Laboratories.” In: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Baden-Baden, Germany, 2016, 406–411. DOI: 0.1109/MFI.2016.7849522.
  • [13] D. Chwa, “Robust Distance-Based Tracking Control of Wheeled Mobile Robots Using Vision Sensors in the Presence of Kinematic Disturbances”, IEEE Trans. Ind. Electron., vol. 63,no. 10, 6172–6183, Oct. 2016. DOI: 10.1109/TIE.2016.2590378.
  • [14] G. R. Yu, P. Y. Liu, Y. K. Leu, “Design and implementation of a wheel mobile robot with infrared-based algorithms.” In: IEEE International Conference on Advanced Robotics and Intelligent Systems (ARIS), Taipei, Taiwan, 2016, 1–6. DOI:10.1109/ARIS.2016.7886625.
  • [15] L. D’Alfonso, A. Grano, P. Muraca, P. Pugliese, “Mobile robot localization in an unknown environment using sonar sensors and an incidence angle based sensors switching policy — Experimental results.” In: 10th IEEE International Conference on Control and Automation (ICCA), Hangzhou, China, 2013, 1526-1531. DOI: 10.1109/ICCA.2013.6565163.
  • [16] C.-K. Joo, Y.-C. Kim, M.-H. Choi, Y.-J. Ryoo, “Self localization for intelligent mobile robot using multiple infrared range scanning system.” In: International Conference on Control, Automation and Systems, Seoul, South Korea, 2007, 606–609.
  • [17] P. Zingaretti, E. Frontoni, “Vision and sonar sensor fusion for mobile robot localization in aliased environments.” In: IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications, Beijing, China, 2006, 1–6.DOI: 10.1109/MESA.2006.296971.
  • [18] Q. Chen, H. Xie, P. Woo, “Vision-based fast objects recognition and distances calculation of robots.” In: 31st Annual Conference of IEEE Industrial Electronics Society (IECON), Raleigh, NC, USA, 2005, 363–368.
  • [19] G. Lowe, “Object Recognition from Local Scale- Invariant Features”. In: IEEE International Conference on Computer Vision, Corfu, Greece, 1999, 1150–1157. DOI: 10.1109/ICCV.1999.790410.
  • [20] H. Bay, A. Ess, T. Tuytelaars, L. V. Gool, “SURF: Speeded Up Robust Features”, Journal of Computer Vision and Image Understanding (CVIU),vol. 110, no. 3, 2008, 346–359. DOI: 10.1016/j.cviu.2007.09.014.
  • [21] E. Rosten, T. Drummond, “Machine Learning for High-Speed Corner Detection.” In: Computer Vision –ECCV 2006, chapter 34, Springer, 430–443. DOI: 10.1007/11744023_34.
  • [22] R. Katsuki, J. Ota, Y. Tamura, T. Mizuta, T. Kito, T. Arai, T. Ueyama, T. Nishiyama, “Handling of Objects with Marks by a Robot.” In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, Nevada, 2003, vol. 1, 130–135. DOI: 10.1109/IROS.2003.1250617.
  • [23] S. Zickler, M. M. Veloso, “Detection and Localization of Multiple Objects.” In: IEEE-RAS International Conference on Humanoid Robots,Genoa, Italy, 2006, 20–25. DOI: 10.1109/ICHR.2006.321358.
  • [24] L. T. Anh, J. B. Song, “Object Tracking and Visual Servoing using Features Computed from Local Feature Descriptor.” In: International Conference on Control Automation and Systems (ICCAS), Gyeonggi, South Korea, 2010, 1044–1048.
  • [25] A. Ramisa, G. Alenya, F. Moreno-Noguer, C. Torras, “Using Depth and Appearance Features for Informed Robot Grasping of Highly Wrinkled Clothes.” In: IEEE International Conference on Robotics and Automation (ICRA), St. Paul, Minnesota, USA, 2012, 1703–1708. DOI: 10.1109/ICRA.2012.6225045.
  • [26] X. Gu, S. Neubert, N. Stoll, K. Thurow, “Intelligent Scheduling Method for Life Science Automation Systems.” In: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Baden-Baden, Germany, 2016,156–161. DOI: 10.1109/MFI.2016.7849482.
  • [27] S. Jang, K. Ahn, J. Lee, Y. Kang, “A study on integration of particle filter and dead reckoning for efficient localization of automated guided vehicles.”In: IEEE International Symposium on Robotics and Intelligent Sensors (IRIS), Langkawi, Malaysia, 2015, 81–86.
  • [28] Y. Takahashi, Y. Ii, M. Jian, W. Jun, Y. Maeda, M. Takeda, R. Nakamura, H. Miyoshi, H.Takeuchi, Y. Yamashita, H. Sano, A. Masuda, “Mobile robot self localization based on multi-antenna-RFID reader and IC tag textile”. In: IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO), Tokyo, Japan, 2013, 106–112. DOI: 10.1109/ARSO.2013.6705514.
  • [29] S. J. Lee, J. Lim, G. Tewolde, J. Kwon, “Autonomous tour guide robot by using ultrasonic range sensors and QR code recognition in indoor environment”. In: IEEE International Conference on Electro/Information Technology (EIT), Milwaukee, WI, USA, 2014, 410–415. DOI: 10.1109/EIT.2014.6871799.
  • [30] T. Lee, W. Bahn, B. Jang, H.-J. Song, and D. D. Cho, “A new localization method for mobile robot by data fusion of vision sensor data and motion sensor data.” In: IEEE International Conference on Robotics and Biomimetics (ROBIO), Guangzhou, China, 2012, 723–728. DOI: 10.1109/ROBIO.2012.6491053.
  • [31] X. Li, Q. Wang, X. Zhang, “Application of Electronic Compass and Vision-Based Camera in Robot Navigation and Map Building.” In: IEEE International Conference on Mobile Ad-hoc and Sensor Networks (MSN), Dalian, China, 2013, 546–549.DOI: 10.1109/MSN.2013.101.
  • [32] I. Ul-Haque, E. Prassler, “Experimental Evaluation of a Low-cost Mobile Robot Localization Technique for Large Indoor Public Environments.”In: 41st International Symposium on Robotics (ISR) and 6th German Conference on Robotics (ROBOTIK), Munich, Germany, 2010, 1–7.
  • [33] M. M. Ali, H. Liu, N. Stoll, and K. Thurow, “KinematicAnalysis OF 6-DOF Arms for H20 Mobile Robots and Labware Manipulation for Transportation in Life Science Labs”, Journal of Automation, Mobile Robotics & Intelligent Systems, vol. 10, no. 4, 40–52, 2016. DOI: 10.14313/JAMRIS_4-2016/30.
  • [34] M. M. Ali, H. Liu, N. Stoll, K. Thurow, “Intelligent Arm Manipulation System in Life Science Labs Using H20 Mobile Robot and Kinect Sensor.” In: IEEE International Conference on Intelligent Systems (IS’16), Sofia, Bulgaria, 2016, 382–387.DOI: 10.1109/IS.2016.7737449.
  • [35] M. M. Ali, H. Liu, N. Stoll, K. Thurow, “Multiple Lab Ware Manipulation in Life Science Laboratories using Mobile Robots.” In: IEEE International Conference on Mechatronics (MECHATRONIKA), Prague, Czech Republic, 2016, 415–421.
  • [36] M. M. Ali, H. Liu, N. Stoll, K. Thurow, “An Identification and Localization Approach of Different Labware for Mobile Robot Transportation in Life Science laboratories.” In: IEEE International Symposium on Computational Intelligence and Informatics (CINTI), Budapest, Hungary, 2016, 353–358. DOI: 10.1109/CINTI.2016.7846432.
  • [37] K. L. Conrad, P. S. Shiakolas, T. C. Yih, “Robotic calibration issues: Accuracy, repeatability and calibration.” In: Proceedings of the 8th Mediterranean Conference on Control and Automation (MED2000), Rio, Patras, Greece, 2000.
  • [38] D. Oberkampf, D. F. DeMenthon, L. S. Davis, “Iterative Pose Estimation Using Coplanar Feature Points”, Computer Vision and Image Understanding, vol. 63, no. 3, 1996, 495–511. DOI: 10.1006/cviu.1996.0037.
  • [39] Understanding Resolution in optical and magnetic Encoders.[Online].Available:http://www.elektronikpraxis.vogel.de/
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5ebadb94-7ca9-44df-b779-ad03c04d0a7d
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