機器人被廣泛應用於各領域，以替代人力節省成本，並促進資源更有效的配置。在這些應用中，部份現有的研究、產品及專利都強調實驗室環境監控與物體運送的重要性，監控裝置與物體運送已普及於現今大眾社會。實驗室監控對於要求嚴謹且具有危險的環境是必要的，適當且有效率的監控將能掌控實驗室的各種狀況，防止意外發生。不管在公部門或私領域，物體運送已成為生活中不可或缺的部份。本研究以輔助實驗室業務為目標，研製兩部開發於ROS，搭配光達的TurtleBot3，具自主智慧導航功能之機器人，配合實驗室固有環境，一部搭載溫濕度感應器與紅外線熱感相機，於園區內巡視以實現環境監控功能；一部附有抽屜放置檢體，協調操控電梯之機械手臂，達成自主移動與物品運送。並經大量使用與測試證實其可行性與實用性。此研究除了能蒐集與提供環境數據及協助部門運作外，同時能夠推廣智慧機械於公家機關，以解決現階段人力不足的問題。

Robots have been used in various areas to replace manpower, reduce costs, and facilitate more effective resource allocation. Among these applications, some of current research, products, and patents have primarily emphasized the use of robots for laboratory monitoring and object transport. Monitors and object transport have become a common fixture in modern life. The importance of monitoring in laboratories where rigorous and occasionally dangerous work is undertaken is readily apparent. Appropriate and effective monitoring facilitates the control of laboratory conditions. Widely applied in public and private places, object transport has become an indispensable part of everyday life. This study sought to assist the business of the bureau by developing two robots using the Robot Operating System and the hardware foundation for each robot we adopted were TurtleBot3 with Lidar equipment. The developed robots have autonomous intelligent navigation functions and are suited to monitor the environment of the laboratories in the bureau. One robot had a temperature and humidity sensor and an infrared thermal camera, and it could be used to patrol and monitor the laboratory environment. The other robot had drawers in which specimens could be placed; robotic arm in the elevator could coordinate and control elevators, enabling the robot to move and transport specimens autonomously. Plenty of tests were conducted to verify the feasibility and practicality. Through this study, besides the aim to utilize robots to gather and provide the environmental characteristics and assist the businesses of the bureau, simultaneously we sought to promote the use of smart technologies and ameliorate manpower shortage in the public sectors.

[1] G. Indrawan, et al., "LBtrans-Bot: A Latin-to-Balinese Script Transliteration Robotic System based on Noto Sans Balinese Font," Indonesian Journal of Electrical Engineering and Computer Science, vol. 12, no. 3, pp. 1247-1256, Dec 2018.
[2] N. S. Ali, et al., "Multi-function intelligent robotic in metals detection applications," TELKOMNIKA, vol. 17, no. 4, pp. 2058-2069, Aug 2019.
[3] J. Lee, et al., "Autonomous multi-function floor cleaning robot with zig zag algorithm," Indonesian Journal of Electrical Engineering and Computer Science, vol. 15, no. 2, pp. 1653-1663, Aug 2019.
[4] H. Widyantara, et al., "Wind direction sensor based on thermal anemometer for olfactory mobile robot," Indonesian Journal of Electrical Engineering and Computer Science, vol. 13, no. 2, pp. 475-484, Feb 2019.
[5] E. Abana, et al., "Rakebot: a robotic rake for mixing paddy in sun drying," Indonesian Journal of Electrical Engineering and Computer Science, vol. 14, no. 3, pp. 1165-1170, Jun 2019.
[6] T. A. Salh and M. Z. Nayef, "Intelligent surveillance robot," 2013 International Conference on Electrical Communication, Computer, Power, and Control Engineering (ICECCPCE), Mosul, 2013, pp. 113-118.
[7] A. Sundaram, M. Gupta, V. Rathod and K. Chandrasekaran, "Remote Surveillance Robot System -- A Robust Framework Using Cloud," 2015 IEEE International Symposium on Nanoelectronic and Information Systems, Indore, 2015, pp. 213-218.
[8] M. A. Islam, W. Ahad, M. Faisal and H. U. Zaman, "A cost-effective design and development of a surveillance robot," 2015 International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, 2015, pp. 259-262.
[9] B. Chirag, A. E. Manjunath and K. B. Badrinath, "An intelligent cloud based cost effective surveillance robot," 2014 2nd International Conference on Emerging Technology Trends in Electronics, Communication and Networking, Surat, 2014, pp. 1-4.
[10] M. T. Rashid, P. Chowdhury and M. K. Rhaman, "Espionage: A voice guided surveillance robot with DTMF control and web based control," 2015 18th International Conference on Computer and Information Technology (ICCIT), Dhaka, 2015, pp. 419-422.
[11] A. U. Bokade and V. R. Ratnaparkhe, "Video surveillance robot control using smartphone and Raspberry pi," 2016 International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, 2016, pp. 2094-2097.
[12] M. J. Islam, et al., “Person Following by Autonomous Robots: A Categorical Overview,” arXiv Prepr. arXiv1803.08202v1, 2018.
[13] M. Wang, et al., "Accurate and Real-Time 3-D Tracking for the Following Robots by Fusing Vision and Ultrasonar Information," in IEEE/ASME Transactions on Mechatronics, vol. 23, no. 3, pp. 997-1006, June 2018.
[14] P. Nikdel, et al., "The Hands-Free Push-Cart: Autonomous Following in Front by Predicting User Trajectory Around Obstacles," 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, QLD, 2018, pp. 4548-4554.
[15] G. Huskić, et al., "Outdoor person following at higher speeds using a skid-steered mobile robot," 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, BC, 2017, pp. 3433-3438.
[16] Evan Chen, ““FOLO”: A Vision-Based Human-Following Robot,” Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018), Dalian, May 2018, pp. 224-232.
[17] B. X. Chen, et al., "Person Following Robot Using Selected Online Ada-Boosting with Stereo Camera," 2017 14th Conference on Computer and Robot Vision (CRV), Edmonton, 2017, pp. 48-55.
[18] Chen B.X., et al., (2017) Integrating Stereo Vision with a CNN Tracker for a Person-Following Robot. In: Liu M., Chen H., Vincze M. (eds) Computer Vision Systems. ICVS 2017. Lecture Notes in Computer Science, vol. 10528. Springer, Cham
[19] M. Gupta, et al., "A Novel Vision-Based Tracking Algorithm for a Human-Following Mobile Robot," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 47, no. 7, pp. 1415-1427, July 2017.
[20] CH.Tseng. (2017). CNN. Retrieved from https://chtseng.wordpress.com/2017/09/12/%E5%88%9D%E6%8E%A2%E5%8D%B7%E7%A9%8D%E7%A5%9E%E7%B6%93%E7%B6%B2%E8%B7%AF/ (August 9, 2019)
[21] mc.ai. (2018). Object Detection. Retrieved from https://mc.ai/%E7%89%A9%E9%AB%94%E5%81%B5%E6%B8%AC-object-detection/ (August 7, 2019)
[22] Tew Jia Yu, et al., "AI-Based Targeted Advertising System," Indonesian Journal of Electrical Engineering and Computer Science, Vol. 13, No. 2, Feb 2019, pp. 787-793.
[23] Parinith R Iyer, et al., " Adaptive real time traffic prediction using deep neural networks," IAES International Journal of Artificial Intelligence(IJ-AI), Vol. 8, No. 2, June 2019, pp. 107-119.
[24] N. H. A. Aziz, K. A. Othman, S. S. Sarnin and Y. I. M. Ali, "Wireless System for Temperature Monitoring in Oil Palm Bio-laboratory," 2009 Fifth International Conference on MEMS NANO, and Smart Systems,2009,pp. 234-238.
[25] Chung-Hsin Liu and Po-Cheng Teng, "The safety design of the laboratory monitoring system," The 6th International Conference on Networked Computing and Advanced Information Management, 2010, pp. 509-513.
[26] G. Zhao, Z. Wang, W. Li and K. Wang, "An Embedded Laboratory Security Monitoring System," 2011 Third International Conference on Measuring Technology and Mechatronics Automation, Shangshai, 2011, pp. 395-398.
[27] M. A. Joshi, S. C. Mehrotra, M. R. Jathar and A. Shewale, "Distributed temperature monitoring system for IVF laboratory," 2011 3rd International Conference on Electronics Computer Technology, Kanyakumari, 2011, pp. 282-284.
[28] Ye Jihua and Nie Xiaoshi, "Implementation of a laboratory video monitoring system," 2014 9th International Conference on Computer Science & Education, Vancouver, BC, 2014, pp. 1028-1031.
[29] H. Kim, E. Lee, D. Kwon and H. Ju, "Chemical laboratory safety management service using IoT sensors and open APIs," 2017 International Conference on Information and Communications (ICIC), Hanoi, 2017, pp. 262-263.
[30] M. S. Khodl, D. M. Berghorn, T. S. Hunter. (2018). United States Patent No. 0141755. Washington, DC: U.S. Patent and Trademark Office.
[31] Cheng-Xing Zhong, Peng Chen, and Jun-Po Chen. (2018). Taiwan Patent Publication No. 201816363. Taipei: Intellectual Property Office, MOEA.
[32] ROS.org [Internet]. Mountain View: Open Resource Robotics Foundation; [cited Apr. 17 2018]. ROS/Introduction. Available from: http://wiki.ros.org/ROS/Introduction.
[33] Giorgio Grisetti, et al., "Improved techniques for grid mapping with rao-blackwellized particle filters," IEEE Transactions on Robotics, vol. 23, no. 1, pp. 34-46, Feb 2007.
[34] J. M. Santos, et al., "An evaluation of 2D SLAM techniques available in Robot Operating System," in 2013 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2013), 2013, pp. 1-6.
[35] D. Fox. "KLD-sampling: Adaptive particle filters," in NIPS'01 Proceedings of the 14th International Conference on Neural Information Processing Systems: Natural and Synthetic, 2011, pp. 713-720.
[36] L. E. Kavraki, et al., "Probabilistic roadmaps for path planning in high-dimensional configuration spaces," IEEE Transactions on Robotics and Automation, vol. 12, no. 4, pp. 566-580, Aug 1996.
[37] R. C. Coulter. "Implementation of the pure pursuit path tracking algorithm," Technical Report CMU-RI-TR-92-01, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, Jan. 1992.
[38] J. Borenstein, et al., "The Vector Field Histogram - Fast Obstacle Avoidance for Mobile Robots," IEEE Journal of Robotics and Automation, vol. 7, no. 3, pp.278-88, June 1991.
[39] I. Ulrich, et al., "VFH+ : Reliable Obstacle Avoidance for Fast Mobile Robots," Proceedings. 1998 IEEE International Conference on Robotics and Automation, 1998, pp. 1572-1577.
[40] C. Pautasso, "RESTful Web service composition with BPEL for REST," Data & Knowledge Engineering, vol. 68, no. 9, pp. 851-866, September 2009.
[41] P. Belimpasakis, et al., "A Platform for Proving Family Oriented RESTful Services Hosted at Home," IEEE Transactions on Consumer Electronics, vol. 55, no. 2, pp. 690-698, May 2009.
[42] Guru99.com [Internet]. Guru99. [cited May 17 2019]. RESTful Web Services Tutorial with Example. Available from: https://www.guru99.com/restful-web-services.html.
[43] C. Pautasso, et al., "Push-Enabling RESTful Business Processes," Internationl Conference on Service-Oriented Computing, vol. 7084, pp. 32-46, 2011.