Abstract
Demands to produce food is increasing every day in China, and greenhouses are a part of the solution to solve this problem. The tough condition, long working hours, and working alone in the small greenhouses, makes the work environment more unpleasant compare to many other work fields. In this paper, we present a smart robot for carrying the payloads in the greenhouses. Moreover, the robot is a companion robot and an assistant to the workers. The robot can socially interact with the workers, make conversation with them, answer to the work related questions, and receive orders through voice commands. Social interaction and communication with the robot, make more delightful work environment for the workers, who mostly work alone in a small greenhouse. Main brain of the robot is online and the robot have access to the server through the 4G network. The robot become more intelligent as working in the greenhouse without any need to become updated by the users. As well as reducing the mental pressure, the robot decrease the pressure of physical work by carrying the cargos and materials in the greenhouse. The aim of this project is to put a true co-worker in the small greenhouses.
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Ge, S.S., Lewis, F.L.: Autonomous Mobile Robots: Sensing, Control, Decision Making and Applications. CRC Press, Boca Raton (2006)
Belpaeme, T., et al.: Social robots for education: a review. Sci. Robot. 3(21), p5954 (2018)
Li, M., et al.: Role playing learning for socially concomitant mobile robot navigation. CAAI Trans. Intell. Technol. 3(1), 49–58 (2018)
Conti, D., et al.: Robots in education and care of children with developmental disabilities: a study on acceptance by experienced and future professionals. Int. J. Soc. Robot. 9(1), 51–62 (2017)
Pennisi, P., et al.: Autism and social robotics: a systematic review. Autism Res. 9(2), 165–183 (2016)
Aaltonen, I., et al.: Hello pepper, may i tickle you?: children’s and adults’ responses to an entertainment robot at a shopping mall. In: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, pp. 53–54. ACM, Vienna (2017)
Pulido, J.C., et al.: Evaluating the child-robot interaction of the NAOTherapist platform in pediatric rehabilitation. Int. J. Soc. Robot. 9(3), 343–358 (2017)
Verner, I.M., Polishuk, A., Krayner, N.: Science class with RoboThespian: using a robot teacher to make science fun and engage students. IEEE Robot. Autom. Mag. 23(2), 74–80 (2016)
Kim, E.S., et al.: Social robots as embedded reinforcers of social behavior in children with autism. J. Autism Dev. Disord. 43(5), 1038–1049 (2013)
Veloso, M.M., et al.: CMRoboBits: creating an intelligent AIBO robot. AI Mag. 27(1), 67 (2006)
Kennington, C., Plane, S.: Symbol, conversational, and societal grounding with a toy robot. arXiv preprint arXiv:1709.10486 (2017)
Touretzky, D.S., Gardner-McCune, C.: Calypso for Cozmo: robotic AI for everyone. In: Proceedings of the 49th ACM Technical Symposium on Computer Science Education. ACM (2018)
Parks, J.A.: Lifting the burden of women’s care work: should robots replace the “human touch”? Hypatia 25(1), 100–120 (2010)
Dauth, W., et al.: German robots-the impact of industrial robots on workers (2017)
Bahrin, M.A.K., et al.: Industry 4.0: a review on industrial automation and robotic. Jurnal Teknologi 78(6–13), 137–143 (2016)
Iqbal, J., et al.: Automating industrial tasks through mechatronic systems–a review of robotics in industrial perspective. Tehnički vjesnik 23(3), 917–924 (2016)
Garcia, E., et al.: The evolution of robotics research. IEEE Robot. Autom. Mag. 14(1), 90–103 (2007)
Cheong, A., et al.: Development of a robotic waiter system. IFAC-PapersOnLine 49(21), 681–686 (2016)
Lan, Z., Ma, L.: Internet of things based farm greenhouse monitor and alarm management system, Google Patents (2014)
Dan, L., et al.: Intelligent agriculture greenhouse environment monitoring system based on IOT technology. In: 2015 International Conference on Intelligent Transportation, Big Data and Smart City. IEEE (2015)
Linlin, Q., et al.: Implementation of IOT-based greenhouse intelligent monitoring system. Trans. Chin. Soc. Agric. Mach. 46(3), 261–267 (2015)
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Nemati, A., Zhao, D., Jiang, W., Ge, S.S. (2019). Companion Transporter: A Co-worker in the Greenhouse. In: Salichs, M., et al. Social Robotics. ICSR 2019. Lecture Notes in Computer Science(), vol 11876. Springer, Cham. https://doi.org/10.1007/978-3-030-35888-4_30
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DOI: https://doi.org/10.1007/978-3-030-35888-4_30
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