Abstract
With magnetic trail and infrared matching techniques, limitation in paths and high processing create difficulties in restaurant serving techniques. This article provides a user-friendly serving system by adopting real-time image processing and robot guidance application. SLAM (A technology used by Japan for simultaneously localizing and mapping) can overcome the above-mentioned difficulties but is much costly and has slow processing. To overcome SLAM drawbacks, all map localization processing has been shifted on a server processor which made RSR (Restaurant Serving Robot) less costly than other techniques. RSR is fully equipped by modern innovations in AI (Artificial Intelligence). Map localization in server knows about the little movement in restaurant hall and decides appropriate path for a robot. A restaurant serving robot is a real-time path deciding robot which is designed using simulation software, camera, a database for predefined paths, an android application, a WLAN communication system, and a robot based on Arduino. Simulation software gets real time frames from the camera, declares appropriate path, and keep an eye on serving robots.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Vo T (2019) Development of restaurant serving robot using line following approach. J Sci Technol Iss Inform Commun Technol 17:1. https://doi.org/10.31130/JST-UD2019-087.
Vo T, Dang PV, Ngo T, Le H-N, Toan D (2019) Restaurant serving robot with double line sensors following approach. 235–239. https://doi.org/10.1109/ICMA.2019.8816404
Shah UA, Ali F, Sohail S, Khan H (2016) Intelligent robotic waiter with menu ordering system. In: 1st International Electrical Engineering Congress (IEEC’16), May 13–14, IEP Center, Karachi, Pakistan
Asha S, Bhagyashree MA, Divyashree R, Hokrani R (2019) An automatic robotic restaurant. JETIR 6(5). ISSN: 2349-5162
Afsheen S, Fathima L, Khan Z, Elahi M (2018) A self-sufficient waiter Robo for serving in restaurants. Int J Adv Res Dev 3(5)
Jang H-W, Lee S-B (2020) Serving Robots: management and applications for restaurant business sustainability. Sustainability 2020, MDPI J
Prejitha CT, Vikram Raj N, Vibhandik H, Gayatri W, Tiple P, Kapoor K, Manduri SP, Ankush, Kulkarni MS (2020) Design of restaurant serving robot for contact less and hygienic eating experience. IRJET 7(8)
Pieska S, Liuska M, Jauhiainen J, Auno A (2013) Intelligent restaurant system smart-menu. In: 4th IEEE international conference on cognitive info communications, December 2–5, 2013, Budapest, Hungary
Tan T-H, Chang C-S, Chen Y-F (2012) Developing an intelligent e-restaurant with a menu recommender for customer-centric service. In: IEEE transactions on systems, man, and cybernetics—part c. Applications and reviews, vol 42, no 5, September 2012
Sun G, Song Q, Design of the restaurant self-service ordering system based on ZigBee technology. In: Communications and embedded system lab College of Information Technology and Science, Nankai University Tianjin, China
Noor MZH, Rahman AAA, Saaid MF, Ali MSAM, Zolkapli M (2012) The development of self-service restaurant ordering system (SROS). In: 2012 IEEE control and system graduate research colloquium (ICSGRC 2012)
Moravec HP, Elfes A (1985) High resolution maps from wide angle sonar. In: 1985 IEEE international conference on robotics and automation. St. Louis, Missouri. IEEE Computer Society Press, pp 116–121
Leonard JH, Durrant-Whyte HF (1991) Mobile robot localization by tracking geometric beacons. In: IEEE transactions on robotics and automation. IEEE, pp 376–382
Tan YC, Lew BF, Tan KL, Goh KV, Lee KL, Kho ZC (2010) A new automated food delivery system using autonomous track. In: Proceedings of the 2010 IEEE conference on sustainable utilization and development in engineering and technology Universiti Tunku Abdul Rahman 20 & 21 November 2010, Faculty of Engineering, Kuala Lumpur, Malaysia
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Qasim, M.A., Abrar, F., Ahmad, S., Usman, M. (2022). AI-Based Smart Robot for Restaurant Serving Applications. In: Boulouard, Z., Ouaissa, M., Ouaissa, M., El Himer, S. (eds) AI and IoT for Sustainable Development in Emerging Countries. Lecture Notes on Data Engineering and Communications Technologies, vol 105. Springer, Cham. https://doi.org/10.1007/978-3-030-90618-4_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-90618-4_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-90617-7
Online ISBN: 978-3-030-90618-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)